The Product Lifecycle Management Document: Pharmaceutical Quality’s Central Repository for Managing Post-Approval Reality

Pharmaceutical regulatory frameworks have evolved substantially over the past two decades, moving from fixed-approval models—where products remained frozen in approved specifications after authorization—toward dynamic lifecycle management approaches that acknowledge manufacturing reality. Products don’t remain static across their commercial life. Manufacturing sites scale up. Suppliers introduce new materials. Analytical technologies improve. Equipment upgrades occur. Process understanding deepens through continued manufacturing experience. Managing these inevitable changes while maintaining product quality and regulatory compliance has historically required regulatory submission and approval for nearly every meaningful post-approval modification, regardless of risk magnitude or scientific foundation.

This traditional submission-for-approval model reflected regulatory frameworks designed when pharmaceutical manufacturing was less understood, analytical capabilities were more limited, and standardized post-approval change procedures were the best available mechanism for regulatory oversight. Organizations would develop products, conduct manufacturing validation, obtain market approval, then essentially operate within a frozen state of approval—any meaningful change required regulatory notification and frequently required prior approval before distribution of product made under the changed conditions.

The limitations of this approach became increasingly apparent over the 2000s. Regulatory approval cycles extended as the volume of submitted changes increased. Organizations deferred beneficial improvements to avoid submission burden. Supply chain disruptions couldn’t be addressed quickly because qualified alternative suppliers required prior approval supplements with multi-year review timelines. Manufacturing facilities accumulated technical debt—aging equipment, suboptimal processes, outdated analytical methods—because upgrading would trigger regulatory requirements disproportionate to the quality impact. Quality culture inadvertently incentivized resistance to change rather than continuous improvement.

Simultaneously, the pharmaceutical industry’s scientific understanding evolved. Quality by Design (QbD) principles, implemented through ICH Q8 guidance on pharmaceutical development, enabled organizations to develop products with comprehensive process understanding and characterized design spaces. ICH Q10 on pharmaceutical quality systems introduced systematic approaches to knowledge management and continual improvement. Risk management frameworks (ICH Q9) provided scientific methods to evaluate change impact with quantitative rigor. This growing scientific sophistication created opportunity for more nuanced, risk-informed post-approval change management than the binary approval/no approval model permitted.

ICH Q12 “Technical and Regulatory Considerations for Pharmaceutical Product Lifecycle Management” represents the evolution toward scientific, risk-based lifecycle management frameworks. Rather than treating all post-approval changes as equivalent regulatory events, Q12 provides a comprehensive toolbox: Established Conditions (designating which product elements warrant regulatory oversight if changed), Post-Approval Change Management Protocols (enabling prospective agreement on how anticipated changes will be implemented), categorized reporting approaches (aligning regulatory oversight intensity with quality risk), and the Product Lifecycle Management (PLCM) document as central repository for this lifecycle strategy.

The PLCM document itself represents this evolutionary mindset. Where traditional regulatory submissions distribute CMC information across dozens of sections following Common Technical Document structure, the PLCM document consolidates lifecycle management strategy into a central location accessible to regulatory assessors, inspectors, and internal quality teams. The document serves “as a central repository in the marketing authorization application for Established Conditions and reporting categories for making changes to Established Conditions”. It outlines “the specific plan for product lifecycle management that includes the Established Conditions, reporting categories for changes to Established Conditions, PACMPs (if used), and any post-approval CMC commitments”.

This approach doesn’t abandon regulatory oversight. Rather, it modernizes oversight mechanisms by aligning regulatory scrutiny with scientific understanding and risk assessment. High-risk changes warrant prior approval. Moderate-risk changes warrant notification to maintain regulators’ awareness. Low-risk changes can be managed through pharmaceutical quality systems without regulatory notification—though the robust quality system remains subject to regulatory inspection.

The shift from fixed-approval to lifecycle management represents maturation in how the pharmaceutical industry approaches quality. Instead of assuming that quality emerges from regulatory permission, the evolved approach recognizes that quality emerges from robust understanding, effective control systems, and systematic continuous improvement. Regulatory frameworks support this quality assurance by maintaining oversight appropriate to risk, enabling efficient improvement implementation, and incentivizing investment in product and process understanding that justifies flexibility.

For pharmaceutical organizations, this evolution creates both opportunity and complexity. The opportunity is substantial: post-approval flexibility enabling faster response to supply chain challenges, incentives for continuous improvement no longer penalized by submission burden, manufacturing innovation supported by risk-based change management rather than constrained by regulatory caution. The complexity emerges from requirements to build the organizational capability, scientific understanding, and quality system infrastructure supporting this more sophisticated approach.

The PLCM document is the central planning and communication tool, making this evolution operational. Understanding what PLCM documents are, how they’re constructed, and how they connect control strategy development to commercial lifecycle management is essential for organizations navigating this transition from fixed-approval models toward dynamic, evidence-based lifecycle management.

Established Conditions: The Foundation Underlying PLCM Documents

The PLCM document cannot be understood without first understanding Established Conditions—the regulatory construct that forms the foundation for modern lifecycle management approaches. Established Conditions (ECs) are elements in a marketing application considered necessary to assure product quality and therefore requiring regulatory submission if changed post-approval. This definition appears straightforward until you confront the judgment required to distinguish “necessary to assure product quality” from the extensive supporting information submitted in regulatory applications that doesn’t meet this threshold.

The pharmaceutical development process generates enormous volumes of data. Formulation screening studies. Process characterization experiments. Analytical method development. Stability studies. Scale-up campaigns. Manufacturing experience from clinical trial material production. Much of this information appears in regulatory submissions because it supports and justifies the proposed commercial manufacturing process and control strategy. But not all submitted information constitutes an Established Condition.

Consider a monoclonal antibody purification process submitted in a biologics license application. The application describes the chromatography sequence: Protein A capture, viral inactivation, anion exchange polish, cation exchange polish. For each step, the application provides:

  • Column resin identity and supplier
  • Column dimensions and bed height
  • Load volume and load density
  • Buffer compositions and pH
  • Flow rates
  • Gradient profiles
  • Pool collection criteria
  • Development studies showing how these parameters were selected
  • Process characterization data demonstrating parameter ranges that maintain product quality
  • Viral clearance validation demonstrating step effectiveness

Which elements are Established Conditions requiring regulatory submission if changed? Which are supportive information that can be managed through the Pharmaceutical Quality System without regulatory notification?

The traditional regulatory approach made everything potentially an EC through conservative interpretation—any element described in the application might require submission if changed. This created perverse incentives against thorough process description (more detail creates more constraints) and against continuous improvement (changes trigger submission burden regardless of quality impact). ICH Q12 explicitly addresses this problem by distinguishing ECs from supportive information and providing frameworks for identifying ECs based on product and process understanding, quality risk management, and control strategy design.

The guideline describes three approaches to identifying process parameters as ECs:

Minimal parameter-based approach: Critical process parameters (CPPs) and other parameters where impact on product quality cannot be reasonably excluded are identified as ECs. This represents the default position requiring limited process understanding—if you haven’t demonstrated that a parameter doesn’t impact quality, assume it’s critical and designate it an EC. For our chromatography example, this approach would designate most process parameters as ECs: resin type, column dimensions, load parameters, buffer compositions, flow rates, gradient profiles. Only clearly non-impactful variables (e.g., specific pump model, tubing lengths within reasonable ranges) would be excluded.

Enhanced parameter-based approach: Leveraging extensive process characterization and understanding of parameter impacts on Critical Quality Attributes (CQAs), the organization identifies which parameters are truly critical versus those demonstrated to have minimal quality impact across realistic operational ranges. Process characterization studies using Design of Experiments (DoE), prior knowledge from similar products, and mechanistic understanding support justifications that certain parameters, while described in the application for completeness, need not be ECs because quality impact has been demonstrated to be negligible. For our chromatography process, enhanced understanding might demonstrate that precise column dimensions matter less than maintaining appropriate bed height and superficial velocity within characterized ranges. Gradient slope variations within defined design space don’t impact product quality measurably. Flow rate variations of ±20% from nominal don’t affect separation performance meaningfully when other parameters compensate appropriately.

Performance-based approach: Rather than designating input parameters (process settings) as ECs, this approach designates output performance criteria—in-process or release specifications that assure quality regardless of how specific parameters vary. For chromatography, this might mean the EC is aggregate purity specification rather than specific column operating parameters. As long as the purification process delivers aggregates below specification limits, variation in how that outcome is achieved doesn’t require regulatory notification. This provides maximum flexibility but requires robust process understanding, appropriate performance specifications representing quality assurance, and effective pharmaceutical quality system controls.

The choice among these approaches depends on product and process understanding available at approval and organizational lifecycle management strategy. Products developed with minimal Quality by Design (QbD) application, limited process characterization, and traditional “recipe-based” approaches default toward minimal parameter-based EC identification—describing most elements as ECs because insufficient knowledge exists to justify alternatives. Products developed with extensive QbD, comprehensive process characterization, and demonstrated design spaces can justify enhanced or performance-based approaches that provide greater post-approval flexibility.

This creates strategic implications. Organizations implementing ICH Q12 for legacy products often confront applications describing processes in detail without the underlying characterization studies that would support enhanced EC approaches. The submitted information implies everything might be critical because nothing was systematically demonstrated non-critical. Retrofitting ICH Q12 concepts requires either accepting conservative EC designation (reducing post-approval flexibility) or conducting characterization studies to generate understanding supporting more nuanced EC identification. The latter option represents significant investment but potentially generates long-term value through reduced regulatory submission burden for routine lifecycle changes.

For new products, the strategic decision occurs during pharmaceutical development. QbD implementation, process characterization investment, and design space establishment aren’t simply about demonstrating understanding to reviewers—they create the foundation for efficient lifecycle management by enabling justified EC identification that balances quality assurance with operational flexibility.

The PLCM Document Structure: Central Repository for Lifecycle Strategy

The PLCM document consolidates this EC identification and associated lifecycle management planning into a central location within the regulatory application. ICH Q12 describes the PLCM document as serving “as a central repository in the marketing authorization application for ECs and reporting categories for making changes to ECs”. The document “outlines the specific plan for product lifecycle management that includes the ECs, reporting categories for changes to ECs, PACMPs (if used) and any post-approval CMC commitments”.

The functional purpose is transparency and predictability. Regulatory assessors reviewing a marketing application can locate the PLCM document and immediately understand:

  • Which elements the applicant considers Established Conditions (versus supportive information)
  • The reporting category the applicant believes appropriate if each EC changes (prior approval, notification, or managed solely in PQS)
  • Any Post-Approval Change Management Protocols (PACMPs) proposed for planned future changes
  • Specific post-approval CMC commitments made during regulatory negotiations

This consolidation addresses a persistent challenge in regulatory assessment and inspection. Traditional applications distribute CMC information across dozens of sections following Common Technical Document (CTD) structure. Critical process parameters appear in section 3.2.S.2.2 or 3.2.P.3.3. Specifications appear in 3.2.S.4.1 or 3.2.P.5.1. Analytical procedures scatter across multiple sections. Control strategy discussions appear in pharmaceutical development sections. Regulatory commitments might exist in scattered communications, meeting minutes, and approval letters accumulated over the years.

When post-approval changes arise, determining what requires submission involves archeology through historical submissions, approval letters, and regional regulatory guidance. Different regional regulatory authorities might interpret submission requirements differently. Change control groups debate whether manufacturing site changes to mixing speed from 150 RPM to 180 RPM triggers prior approval (if RPM was specified in the approved application) or represent routine optimization (if only “appropriate mixing” was specified).

The PLCM document centralizes this information and makes commitments explicit. When properly constructed and maintained, the PLCM becomes the primary reference for change management decisions and regulatory inspection discussions about lifecycle management approach.

Core Elements of the PLCM Document

ICH Q12 specifies that the PLCM document should contain several key elements:

Summary of product control strategy: A high-level summary clarifying and highlighting which control strategy elements should be considered ECs versus supportive information. This summary addresses the fundamental challenge that control strategies contain extensive elements—material controls, in-process testing, process parameter monitoring, release testing, environmental monitoring, equipment qualification requirements, cleaning validation—but not all control strategy elements necessarily rise to EC status requiring regulatory submission if changed. The control strategy summary in the PLCM document maps this landscape, distinguishing legally binding commitments from quality system controls.

Established Conditions listing: The proposed ECs for the product should be listed comprehensively with references to detailed information located elsewhere in the CTD/eCTD structure. A tabular format is recommended though not mandatory. The table typically includes columns for: CTD section reference, EC description, justification for EC designation, current approved state, and reporting category for changes.

Reporting category assignments: For each EC, the reporting category indicates whether changes require prior approval (major changes with high quality risk), notification to regulatory authority (moderate changes with manageable risk), or can be managed solely within the PQS without regulatory notification (minimal or no quality risk). These categorizations should align with regional regulatory frameworks (21 CFR 314.70 in the US, EU variation regulations, equivalent frameworks in other ICH regions) while potentially proposing justified deviations based on product-specific risk assessment.

Post-Approval Change Management Protocols: If the applicant has developed PACMPs for anticipated future changes, these should be referenced in the PLCM document with location of the detailed protocols elsewhere in the submission. PACMPs represent prospective agreements with regulatory authorities about how specific types of changes will be implemented, what studies will support implementation, and what reporting category will apply when acceptance criteria are met. The PLCM document provides the index to these protocols.

Post-approval CMC commitments: Any commitments made to regulatory authorities during assessment—additional validation studies, monitoring programs, method improvements, process optimization plans—should be documented in the PLCM with timelines and expected completion. This addresses the common problem of commitments made during approval negotiations becoming lost or forgotten without systematic tracking.

The document is submitted initially with the marketing authorization application or via supplement/variation for marketed products when defining ECs. Following approval, the PLCM document should be updated in post-approval submissions for CMC changes, capturing how ECs have evolved and whether commitments have been fulfilled.

Location and Format Within Regulatory Submissions

The PLCM document can be located in eCTD Module 1 (regional administrative information), Module 2 (summaries), or Module 3 (quality information) based on regional regulatory preferences. The flexibility in location reflects that the PLCM document functions somewhat differently than traditional CTD sections—it’s a cross-reference and planning document rather than detailed technical information.

Module 3 placement (likely section 3.2.P.2 or 3.2.S.2 as part of pharmaceutical development discussions) positions the PLCM document alongside control strategy descriptions and process development narratives. This co-location makes logical sense—the PLCM represents the regulatory management strategy for the control strategy and process described in those sections.

Module 2 placement (within quality overall summary sections) positions the PLCM as summary-level strategic document, which aligns with its function as a high-level map rather than detailed specification.

Module 1 placement reflects that the PLCM document contains primarily regulatory process information (reporting categories, commitments) rather than scientific/technical content.

In practice, consultation with regional regulatory authorities during development or pre-approval meetings can clarify preferred location. The critical requirement is consistency and findability—inspectors and assessors need to locate the PLCM document readily.

The tabular format recommended for key PLCM elements facilitates comprehension and maintenance. ICH Q12 Annex IF provides an illustrative example showing how ECs, reporting categories, justifications, PACMPs, and commitments might be organized in tabular structure. While this example shouldn’t be treated as prescriptive template, it demonstrates organizational principles: grouping by product attribute (drug substance vs. drug product), clustering related parameters, referencing detailed justifications in development sections rather than duplicating extensive text in the table.

Control Strategy: The Foundation From Which ECs Emerge

The PLCM document’s Established Conditions emerge from the control strategy developed during pharmaceutical development and refined through technology transfer and commercial manufacturing experience. Understanding how PLCM documents relate to control strategy requires understanding what control strategies are, how they evolve across the lifecycle, and which control strategy elements become ECs versus remaining internal quality system controls.

ICH Q10 defines control strategy as “a planned set of controls, derived from current product and process understanding, that assures process performance and product quality”. This deceptively simple definition encompasses extensive complexity. The “planned set of controls” includes multiple layers:

  • Controls on material attributes: Specifications and acceptance criteria for starting materials, excipients, drug substance, intermediates, and packaging components. These controls ensure incoming materials possess the attributes necessary for the manufacturing process to perform as designed and the final product to meet quality standards.
  • Controls on the manufacturing process: Process parameter ranges, operating conditions, sequence of operations, and in-process controls that govern how materials are transformed into drug product. These include both parameters that operators actively control (temperatures, pressures, mixing speeds, flow rates) and parameters that are monitored to verify process state (pH, conductivity, particle counts).
  • Controls on drug substance and drug product: Release specifications, stability monitoring programs, and testing strategies that verify the final product meets all quality requirements before distribution and maintains quality throughout its shelf life.
  • Controls implicit in process design: Elements like sequence of unit operations, order of addition, purification step selection that aren’t necessarily “controlled” in real-time but represent design decisions that assure quality. A viral inactivation step positioned after affinity chromatography but before polishing steps exemplifies implicit control—the sequence matters for process performance but isn’t a parameter operators adjust batch-to-batch.
  • Environmental and facility controls: Clean room classifications, environmental monitoring programs, utilities qualification, equipment maintenance, and calibration that create the context within which manufacturing occurs.

The control strategy is not a single document. It’s distributed across process descriptions, specifications, SOPs, batch records, validation protocols, equipment qualification protocols, environmental monitoring programs, stability protocols, and analytical methods. What makes these disparate elements a “strategy” is that they collectively and systematically address how Critical Quality Attributes are ensured within appropriate limits throughout manufacturing and shelf life.

Control Strategy Development During Pharmaceutical Development

Control strategies don’t emerge fully formed at the end of development. They evolve systematically as product and process understanding grows.

Early development focuses on identifying what quality attributes matter. The Quality Target Product Profile (QTPP) articulates intended product performance, dosage form, route of administration, strength, stability, and quality characteristics necessary for safety and efficacy. From QTPP, potential Critical Quality Attributes are identified—the physical, chemical, biological, or microbiological properties that should be controlled within appropriate limits to ensure product quality.

For a monoclonal antibody therapeutic, potential CQAs might include: protein concentration, high molecular weight species (aggregates), low molecular weight species (fragments), charge variants, glycosylation profile, host cell protein levels, host cell DNA levels, viral safety, endotoxin levels, sterility, particulates, container closure integrity. Not all initially identified quality attributes prove critical upon investigation, but systematic evaluation determines which attributes genuinely impact safety or efficacy versus which can vary without meaningful consequence.

Risk assessment identifies which formulation components and process steps might impact these CQAs. For attributes confirmed as critical, development studies characterize how material attributes and process parameters affect CQA levels. Design of Experiments (DoE), mechanistic models, scale-down models, and small-scale studies explore parameter space systematically.

This characterization reveals Critical Material Attributes (CMAs)—characteristics of input materials that impact CQAs when varied—and Critical Process Parameters (CPPs)—process variables that affect CQAs. For our monoclonal antibody, CMAs might include cell culture media glucose concentration (affects productivity and glycosylation), excipient sources (affect aggregation propensity), and buffer pH (affects stability). CPPs might include bioreactor temperature, pH control strategy, harvest timing, chromatography load density, viral inactivation pH and duration, ultrafiltration/diafiltration concentration factors.

The control strategy emerges from this understanding. CMAs become specifications on incoming materials. CPPs become controlled process parameters with defined operating ranges in batch records. CQAs become specifications with appropriate acceptance criteria. Process analytical technology (PAT) or in-process testing provides real-time verification that process state aligns with expectations. Design spaces, when established, define multidimensional regions where input variables and process parameters consistently deliver quality.

Control Strategy Evolution Through Technology Transfer and Commercial Manufacturing

The control strategy at approval represents best understanding achieved during development and clinical manufacturing. Technology transfer to commercial manufacturing sites tests whether that understanding transfers successfully—whether commercial-scale equipment, commercial facility environments, and commercial material sourcing produce equivalent product quality when operating within the established control strategy.

Technology transfer frequently reveals knowledge gaps. Small-scale bioreactors used for clinical supply might achieve adequate oxygen transfer through simple impeller agitation; commercial-scale 20,000L bioreactors require sparging strategy design considering bubble size, gas flow rates, and pressure control that weren’t critical at smaller scale. Heat transfer dynamics differ between 200L and 2000L vessels, affecting cooling/heating rates and potentially impacting CQAs sensitive to temperature excursions. Column packing procedures validated on 10cm diameter columns at development scale might not translate directly to 80cm diameter columns at commercial scale.

These discoveries during scale-up, process validation, and early commercial manufacturing build on development knowledge. Process characterization at commercial scale, continued process verification, and manufacturing experience over initial production batches refine understanding of which parameters truly drive quality versus which development-scale sensitivities don’t manifest at commercial scale.

The control strategy should evolve to reflect this learning. Parameters initially controlled tightly based on limited understanding might be relaxed when commercial experience demonstrates wider ranges maintain quality. Parameters not initially recognized as critical might be added when commercial-scale phenomena emerge. In-process testing strategies might shift from extensive sampling to targeted critical points when process capability is demonstrated.

ICH Q10 explicitly envisions this evolution, describing pharmaceutical quality system objectives that include “establishing and maintaining a state of control” and “facilitating continual improvement”. The state of control isn’t static—it’s dynamic equilibrium where process understanding, monitoring, and control mechanisms maintain product quality while enabling adaptation as knowledge grows.

Connecting Control Strategy to PLCM Document: Which Elements Become Established Conditions?

The control strategy contains far more elements than should be Established Conditions. This is where the conceptual distinction between control strategy (comprehensive quality assurance approach) and Established Conditions (regulatory commitments requiring submission if changed) becomes critical.

Not all controls necessary to assure quality need regulatory approval before changing. Organizations should continuously improve control strategies based on growing knowledge, without regulatory approval creating barriers to enhancement. The challenge is determining which controls are so fundamental to quality assurance that regulatory oversight of changes is appropriate versus which controls can be managed through pharmaceutical quality systems without regulatory involvement.

ICH Q12 guidance indicates that EC designation should consider:

  • Criticality to product quality: Controls directly governing CQAs or CPPs/CMAs with demonstrated impact on CQAs are candidates for EC status. Release specifications for CQAs clearly merit EC designation—changing acceptance criteria for aggregates in a protein therapeutic affects patient safety and product efficacy directly. Similarly, critical process parameters with demonstrated CQA impact warrant EC consideration.
  • Level of quality risk: High-risk controls where inappropriate change could compromise patient safety should be ECs with prior approval reporting category. Moderate-risk controls might be ECs with notification reporting category. Low-risk controls might not need EC designation.
  • Product and process understanding: Greater understanding enables more nuanced EC identification. When extensive characterization demonstrates certain parameters have minimal quality impact, justification exists for excluding them from ECs. Conversely, limited understanding argues for conservative EC designation until further characterization enables refinement.
  • Regulatory expectations and precedent: While ICH Q12 harmonizes approaches, regional regulatory expectations still influence EC identification strategy. Conservative regulators might expect more extensive EC designation; progressive regulators comfortable with risk-based approaches might accept narrower EC scope when justified.

Consider our monoclonal antibody purification process control strategy. The comprehensive control strategy includes:

  • Column resin specifications (purity, dynamic binding capacity, lot-to-lot variability limits)
  • Column packing procedures (compression force, bed height uniformity testing, packing SOPs)
  • Buffer preparation procedures (component specifications, pH verification, bioburden limits)
  • Equipment qualification status (chromatography skid IQ/OQ/PQ, automated systems validation)
  • Process parameters (load density, flow rates, gradient slopes, pool collection criteria)
  • In-process testing (pool purity analysis, viral clearance sample retention)
  • Environmental monitoring in manufacturing suite
  • Operator training qualification
  • Cleaning validation for equipment between campaigns
  • Batch record templates documenting execution
  • Investigation procedures when deviations occur

Which elements become ECs in the PLCM document?

Using enhanced parameter-based approach with substantial process understanding: Resin specifications for critical attributes (dynamic binding capacity range, leachables below limits) likely merit EC designation—changing resin characteristics affects purification performance and CQA delivery. Load density ranges and pool collection criteria based on specific quality specifications probably merit EC status given their direct connection to product purity and yield. Critical buffer component specifications affecting pH and conductivity (which impact protein behavior on resins) warrant EC consideration.

Buffer preparation SOPs, equipment qualification procedures, environmental monitoring program details, operator training qualification criteria, cleaning validation acceptance criteria, and batch record templates likely don’t require EC designation despite being essential control strategy elements. These controls matter for quality, but changes can be managed through pharmaceutical quality system change control with appropriate impact assessment, validation where needed, and implementation without regulatory notification.

The PLCM document makes these distinctions explicit. The control strategy summary section acknowledges that comprehensive controls exist beyond those designated ECs. The EC listing table specifies which elements are ECs, referencing detailed justifications in development sections. The reporting category column indicates whether EC changes require prior approval (drug substance concentration specification), notification (resin dynamic binding capacity specification range adjustment based on additional characterization), or PQS management only (parameters within approved design space).

How ICH Q12 Tools Integrate Into Overall Lifecycle Management

The PLCM document serves as integrating framework for ICH Q12’s lifecycle management tools: Established Conditions, Post-Approval Change Management Protocols, reporting category assignments, and pharmaceutical quality system enablement.

Post-Approval Change Management Protocols: Planning Future Changes Prospectively

PACMPs address a fundamental lifecycle management challenge: regulatory authorities assess change appropriateness when changes are proposed, but this reactive assessment creates timeline uncertainty and resource inefficiency. Organizations proposing manufacturing site additions, analytical method improvements, or process optimizations submit change supplements, then wait months or years for assessment and approval while maintaining existing less-optimal approaches.

PACMPs flip this dynamic by obtaining prospective agreement on how anticipated changes will be implemented and assessed. The PACMP submitted in the original application or post-approval supplement describes:

  • The change intended for future implementation (e.g., manufacturing site addition, scale-up to larger bioreactors, analytical method improvement)
  • Rationale for the change (capacity expansion, technology improvement, continuous improvement)
  • Studies and validation work that will support change implementation
  • Acceptance criteria that will demonstrate the change maintains product quality
  • Proposed reporting category when acceptance criteria are met

If regulatory authorities approve the PACMP, the organization can implement the described change when studies meet acceptance criteria, reporting results per the agreed category rather than defaulting to conservative prior approval submission. This dramatically improves predictability—the organization knows in advance what studies will suffice and what reporting timeline applies.

For example, a PACMP might propose adding manufacturing capacity at a second site using identical equipment and procedures. The protocol specifies: three engineering runs demonstrating equipment performs comparably; analytical comparability studies showing product quality matches reference site; process performance qualification demonstrating commercial batches meet specifications; stability studies confirming comparable stability profiles. When these acceptance criteria are met, implementation proceeds via notification rather than prior approval supplement.

The PLCM document references approved PACMPs, providing the index to these prospectively planned changes. During regulatory inspections or when implementing changes, the PLCM document directs inspectors and internal change control teams to the relevant protocol describing the agreed implementation approach.

Reporting Categories: Risk-Based Regulatory Oversight

Reporting category assignment represents ICH Q12’s mechanism for aligning regulatory oversight intensity with quality risk. Not all changes merit identical regulatory scrutiny. Changes with high potential patient impact warrant prior approval before implementation. Changes with moderate impact might warrant notification so regulators are aware but don’t need to approve prospectively. Changes with minimal quality risk can be managed through pharmaceutical quality systems without regulatory notification (though inspection verification remains possible).

ICH Q12 encourages risk-based categorization aligned with regional regulatory frameworks while enabling flexibility when justified by product/process understanding and robust PQS. The PLCM document makes categorization explicit and provides justification.

Traditional US framework defines three reporting categories per 21 CFR 314.70:

  • Major changes (prior approval supplement): Changes requiring FDA approval before distribution of product made using the change. Examples include formulation changes affecting bioavailability, new manufacturing sites, significant manufacturing process changes, specification relaxations for CQAs. These changes present high quality risk; regulatory assessment verifies that proposed changes maintain safety and efficacy.
  • Moderate changes (Changes Being Effected or notification): Changes implemented after submission but before FDA approval (CBE-30: 30 days after submission) or notification to FDA without awaiting approval. Examples include analytical method changes, minor formulation adjustments, supplier changes for non-critical materials. Quality risk is manageable; notification ensures regulatory awareness while avoiding unnecessary delay.
  • Minor changes (annual report): Changes reported annually without prior notification. Examples include editorial corrections, equipment replacement with comparable equipment, supplier changes for non-critical non-functional components. Quality risk is minimal; annual aggregation reduces administrative burden while maintaining regulatory visibility.

European variation regulations provide comparable framework with Type IA (notification), Type IB (notification with delayed implementation), and Type II (approval required) variations.

ICH Q12 enables movement beyond default categorization through justified proposals based on product understanding, process characterization, and PQS effectiveness. A change that would traditionally require prior approval might justify notification category when:

  • Extensive process characterization demonstrates the change remains within validated design space
  • Comparability studies show equivalent product quality
  • Robust PQS ensures appropriate impact assessment and validation before implementation
  • PACMP established prospectively agreed acceptance criteria

The PLCM document documents these justified categorizations alongside conservative defaults, creating transparency about lifecycle management approach. When organizations propose that specific EC changes merit notification rather than prior approval based on process understanding, the PLCM provides the location for that proposal and cross-references to supporting justification in development sections.

Pharmaceutical Quality System: The Foundation Enabling Flexibility

None of the ICH Q12 tools—ECs, PACMPs, reporting categories, PLCM documents—function effectively without robust pharmaceutical quality system foundation. The PQS provides the infrastructure ensuring that changes not requiring regulatory notification are nevertheless managed with appropriate rigor.

ICH Q10 describes PQS as the comprehensive framework spanning the entire lifecycle from pharmaceutical development through product discontinuation, with objectives including achieving product realization, establishing and maintaining state of control, and facilitating continual improvement. The PQS elements—process performance monitoring, corrective and preventive action, change management, management review—provide systematic mechanisms for managing all changes (not just those notified to regulators).

When the PLCM document indicates that certain parameters can be adjusted within design space without regulatory notification, the PQS change management system ensures those adjustments undergo appropriate impact assessment, scientific justification, implementation with validation where needed, and effectiveness verification. When parameters are adjusted within specification ranges based on process optimization, CAPA systems ensure changes address identified opportunities while monitoring systems verify maintained quality.

Regulatory inspectors assessing ICH Q12 implementation evaluate PQS effectiveness as much as PLCM document content. An impressive PLCM document with sophisticated EC identification and justified reporting categories means little if the PQS change management system can’t demonstrate appropriate rigor for changes managed internally. Conversely, organizations with robust PQS can justify greater regulatory flexibility because inspectors have confidence that internal management substitutes effectively for regulatory oversight.

The Lifecycle Perspective: PLCM Documents as Living Infrastructure

The PLCM document concept fails if treated as static submission artifact—a form populated during regulatory preparation then filed away after approval. The document’s value emerges from functioning as living infrastructure maintained throughout commercial lifecycle.

Pharmaceutical Development Stage: Establishing Initial PLCM

During pharmaceutical development (ICH Q10’s first lifecycle stage), the focus is designing products and processes that consistently deliver intended performance. Development activities using QbD principles, risk management, and systematic characterization generate the product and process understanding that enables initial control strategy design and EC identification.

At this stage, the PLCM document represents the lifecycle management strategy proposed to regulatory authorities. Development teams compile:

  • Control strategy summary articulating how CQAs will be ensured through material controls, process controls, and testing strategy
  • Proposed EC listing based on available understanding and chosen approach (minimal, enhanced parameter-based, or performance-based)
  • Reporting category proposals justified by development studies and risk assessment
  • Any PACMPs for changes anticipated during commercialization (site additions, scale-up, method improvements)
  • Commitments for post-approval work (additional validation studies, monitoring programs, process characterization to be completed commercially)

The quality of this initial PLCM document depends heavily on development quality. Products developed with minimal process characterization and traditional empirical approaches produce conservative PLCM documents—extensive ECs, default prior approval reporting categories, limited justification for flexibility. Products developed with extensive QbD, comprehensive characterization, and demonstrated design spaces produce strategic PLCM documents—targeted ECs, risk-based reporting categories, justified flexibility.

This creates powerful incentive alignment. QbD investment during development isn’t merely about satisfying reviewers or demonstrating scientific sophistication—it’s infrastructure investment enabling lifecycle flexibility that delivers commercial value through reduced regulatory burden, faster implementation of improvements, and supply chain agility.

Technology Transfer Stage: Testing and Refining PLCM Strategy

Technology transfer represents critical validation of whether development understanding and proposed control strategy transfer successfully to commercial manufacturing. This stage tests the PLCM strategy implicitly—do the identified ECs actually ensure quality at commercial scale? Are proposed reporting categories appropriate for the change types that emerge during scale-up?

Technology transfer frequently reveals refinements needed. Parameters identified as critical at development scale might prove less sensitive commercially due to different equipment characteristics. Parameters not initially critical might require tighter control at larger scale due to heat/mass transfer limitations, longer processing times, or equipment-specific phenomena.

These discoveries should inform PLCM document updates submitted with first commercial manufacturing supplements or variations. The EC listing might be refined based on scale-up learning. Reporting category proposals might be adjusted when commercial-scale validation provides different risk perspectives. PACMPs initially proposed might require modification when commercial manufacturing reveals implementation challenges not apparent from development-scale thinking.

Organizations treating the PLCM as static approval-time artifact miss this refinement opportunity. The PLCM document approved initially reflected best understanding available during development. Commercial manufacturing generates new understanding that should enhance the PLCM, making it more accurate and strategic.

Commercial Manufacturing Stage: Maintaining PLCM as Living Document

Commercial manufacturing represents the longest lifecycle stage, potentially spanning decades. During this period, the PLCM document should evolve continuously as the product evolves.

Post-approval changes occur constantly in pharmaceutical manufacturing. Supplier discontinuations force raw material changes. Equipment obsolescence requires replacement. Analytical methods improve as technology advances. Process optimizations based on manufacturing experience enhance efficiency or robustness. Regulatory standard evolution necessitates updated validation approaches or expanded testing.

Each change potentially affects the PLCM document. If an EC changes, the PLCM document should be updated to reflect the new approved state. If a PACMP is executed and the change implemented, the PLCM should document completion and remove that protocol from active status while adding the implemented change to the EC listing if it becomes a new EC. If post-approval commitments are fulfilled, the PLCM should document completion.

The PLCM document becomes the central change management reference. When change controls propose manufacturing modifications, the first question is: “Does this affect an Established Condition in our PLCM document?” If yes, what’s the reporting category? Do we have an approved PACMP covering this change type? If we’re proposing this change doesn’t require regulatory notification despite affecting described elements, what’s our justification based on design space, process understanding, or risk assessment?

Annual Product Reviews, Management Reviews, and change management metrics should assess PLCM document currency. How many changes implemented last year affected ECs? What reporting categories were used? Were reporting category assignments appropriate retrospectively based on actual quality impact? Are there patterns suggesting EC designation should be refined—parameters initially identified as critical that commercial experience shows have minimal impact, or vice versa?

This dynamic maintenance transforms the PLCM document from regulatory artifact into operational tool for lifecycle management strategy. The document evolves from initial approval state toward increasingly sophisticated representation of how the organization manages quality through knowledge-based, risk-informed change management rather than rigid adherence to initial approval conditions.

Practical Implementation Challenges: PLCM-as-Done Versus PLCM-as-Imagined

The conceptual elegance of PLCM documents—central repository for lifecycle management strategy, transparent communication with regulators, strategic enabler for post-approval flexibility—confronts implementation reality in pharmaceutical organizations struggling with resource constraints, competing priorities, and cultural inertia favoring traditional approaches.

The Knowledge Gap: Insufficient Understanding to Support Enhanced EC Approaches

Many pharmaceutical organizations implementing ICH Q12 confront applications containing limited process characterization. Products approved years or decades ago described manufacturing processes in detail without the underlying DoE studies, mechanistic models, or design space characterization that would support enhanced EC identification.

The submitted information implies everything might be critical because systematic demonstrations of non-criticality don’t exist. Implementing PLCM documents for these legacy products forces uncomfortable choice: designate extensive ECs based on conservative interpretation (accepting reduced post-approval flexibility), or invest in retrospective characterization studies generating understanding needed to justify refined EC identification.

The latter option represents significant resource commitment. Process characterization at commercial scale requires manufacturing capacity allocation, analytical testing resources, statistical expertise for DoE design and interpretation, and time for study execution and assessment. For products with mature commercial manufacturing, this investment competes with new product development, existing product improvements, and operational firefighting.

Organizations often default to conservative EC designation for legacy products, accepting reduced ICH Q12 benefits rather than making characterization investment. This creates two-tier environment: new products developed with QbD approaches achieving ICH Q12 flexibility, while legacy products remain constrained by limited understanding despite being commercially mature.

The strategic question is whether retrospective characterization investment pays back through avoided regulatory submission costs, faster implementation of supply chain changes, and enhanced resilience during material shortages or supplier disruptions. For high-value products with long remaining commercial life, the investment frequently justifies itself. For products approaching patent expiration or with declining volumes, the business case weakens.

The Cultural Gap: Change Management as Compliance Versus Strategic Capability

Traditional pharmaceutical change management culture treats post-approval changes as compliance obligations requiring regulatory permission rather than strategic capabilities enabling continuous improvement. This mindset manifests in change control processes designed to document what changed and ensure regulatory notification rather than optimize change implementation efficiency.

ICH Q12 requires cultural shift from “prove we complied with regulatory notification requirements” toward “optimize lifecycle management strategy balancing quality assurance with operational agility”. This shift challenges embedded assumptions.

The assumption that “more regulatory oversight equals better quality” must confront evidence that excessive regulatory burden can harm quality by preventing necessary improvements, forcing workarounds when optimal changes can’t be implemented due to submission timelines, and creating perverse incentives against process optimization. Quality emerges from robust understanding, effective control, and systematic improvement—not from regulatory permission slips for every adjustment.

The assumption that “regulatory submission requirements are fixed by regulation” must acknowledge that ICH Q12 explicitly encourages justified proposals for risk-based reporting categories differing from traditional defaults. Organizations can propose that specific changes merit notification rather than prior approval based on process understanding, comparability demonstrations, and PQS rigor. But proposing non-default categorization requires confidence to articulate justification and defend during regulatory assessment—confidence many organizations lack.

Building this capability requires training quality professionals, regulatory affairs teams, and change control reviewers in ICH Q12 concepts and their application. It requires developing organizational competency in risk assessment connecting change types to quality impact with quantitative or semi-quantitative justification. It requires quality systems that can demonstrate to inspectors that internally managed changes undergo appropriate rigor even without regulatory oversight.

The Maintenance Gap: PLCM Documents as Static Approval Artifacts Versus Living Systems

Perhaps the largest implementation gap exists between PLCM documents as living lifecycle management infrastructure versus PLCM documents as one-time regulatory submission artifacts. Pharmaceutical organizations excel at generating documentation for regulatory submissions. We struggle with maintaining dynamic documents that evolve with the product.

The PLCM document submitted at approval captures understanding and strategy at that moment. Absent systematic maintenance processes, the document fossilizes. Post-approval changes occur but the PLCM document isn’t updated to reflect current EC state. PACMPs are executed but completion isn’t documented in updated PLCM versions. Commitments are fulfilled but the PLCM document continues listing them as pending.

Within several years, the PLCM document submitted at approval no longer accurately represents current product state or lifecycle management approach. When inspectors request the PLCM document, organizations scramble to reconstruct current state from change control records, approval letters, and variation submissions rather than maintaining the PLCM proactively.

This failure emerges from treating PLCM documents as regulatory submission deliverables (owned by regulatory affairs, prepared for submission, then archived) rather than operational quality system documents (owned by quality systems, maintained continuously, used routinely for change management decisions). The latter requires infrastructure:

  • Document management systems with version control and change history
  • Assignment of PLCM document maintenance responsibility to specific quality system roles
  • Integration of PLCM updates into change control workflows (every approved change affecting ECs triggers PLCM update)
  • Periodic PLCM review during annual product reviews or management reviews to verify currency
  • Training for quality professionals in using PLCM documents as operational references rather than dusty submission artifacts

Organizations implementing ICH Q12 successfully build these infrastructure elements deliberately. They recognize that PLCM document value requires maintenance investment comparable to batch record maintenance, specification maintenance, or validation protocol maintenance—not one-time preparation then neglect.

Strategic Implications: PLCM Documents as Quality System Maturity Indicators

The quality and maintenance of PLCM documents reveals pharmaceutical quality system maturity. Organizations with immature quality systems produce PLCM documents that check regulatory boxes—listing ECs comprehensively with conservative reporting categories, acknowledging required elements, fulfilling submission expectations. But these PLCM documents provide minimal strategic value because they reflect compliance obligation rather than lifecycle management strategy.

Organizations with mature quality systems produce PLCM documents demonstrating sophisticated lifecycle thinking: targeted EC identification justified by process understanding, risk-based reporting category proposals supported by characterization data and PQS capabilities, PACMPs anticipating future manufacturing evolution, and maintained currency through systematic update processes integrated into quality system operations.

This maturity manifests in tangible outcomes. Mature organizations implement post-approval improvements faster because PLCM planning anticipated change types and established appropriate reporting categories. They navigate supplier changes and material shortages more effectively because EC scope acknowledges design space flexibility rather than rigid specification adherence. They demonstrate regulatory inspection resilience because inspectors reviewing PLCM documents find coherent lifecycle strategy supported by robust PQS rather than afterthought compliance artifacts.

The PLCM document, implemented authentically, becomes what it was intended to be: central infrastructure connecting product understanding, control strategy design, risk management, quality systems, and regulatory strategy into integrated lifecycle management capability. Not another form to complete during regulatory preparation, but the strategic framework enabling pharmaceutical organizations to manage commercial manufacturing evolution over decades while assuring consistent product quality and maintaining regulatory compliance.

That’s what ICH Q12 envisions. That’s what the pharmaceutical industry needs. The gap between vision and reality—between PLCM-as-imagined and PLCM-as-done—determines whether these tools transform pharmaceutical lifecycle management or become another layer of regulatory theater generating compliance artifacts without operational value.

Closing that gap requires the same fundamental shift quality culture always requires: moving from procedure compliance and documentation theater toward genuine capability development grounded in understanding, measurement, and continuous improvement. PLCM documents that work emerge from organizations committed to product understanding, lifecycle strategy, and quality system maturity—not from organizations populating templates because ICH Q12 says we should have these documents.

Which type of organization are we building? The answer appears not in the eloquence of our PLCM document prose, but in whether our change control groups reference these documents routinely, whether our annual product reviews assess PLCM currency systematically, whether our quality professionals can articulate EC rationale confidently, and whether our post-approval changes implement predictably because lifecycle planning anticipated them rather than treating each change as crisis requiring regulatory archeology.

PLCM documents are falsifiable quality infrastructure. They make specific predictions: that identified ECs capture elements necessary for quality assurance, that reporting categories align with actual quality risk, that PACMPs enable anticipated changes efficiently, that PQS provides appropriate rigor for internally managed changes. These predictions can be tested through change implementation experience, regulatory inspection outcomes, supply chain resilience during disruptions, and cycle time metrics for post-approval changes.

Organizations serious about pharmaceutical lifecycle management should test these predictions systematically. If PLCM strategies prove ineffective—if supposedly non-critical parameters actually impact quality when changed, if reporting categories prove inappropriate, if PQS rigor proves insufficient for internally managed changes—that’s valuable information demanding revision. If PLCM strategies prove effective, that validates the lifecycle management approach and builds confidence for further refinement.

Most organizations won’t conduct this rigorous testing. PLCM documents will become another compliance artifact, accepted uncritically as required elements without empirical validation of effectiveness. This is exactly the kind of unfalsifiable quality system I’ve critiqued throughout this blog. Genuine commitment to lifecycle management requires honest measurement of whether ICH Q12 tools actually improve lifecycle management outcomes.

The pharmaceutical industry deserves better. Patients deserve better. We can build lifecycle management infrastructure that actually manages lifecycles—or we can generate impressive documents that impress nobody except those who’ve never tried using them for actual change management decisions.

FDA PreCheck and the Geography of Regulatory Trust

On August 7, 2025, FDA Commissioner Marty Makary announced a program that, on its surface, appears to be a straightforward effort to strengthen domestic pharmaceutical manufacturing. The FDA PreCheck initiative promises “regulatory predictability” and “streamlined review” for companies building new U.S. drug manufacturing facilities. It arrives wrapped in the language of national security—reducing dependence on foreign manufacturing, securing critical supply chains, ensuring Americans have access to domestically-produced medicines.

This is the story the press release tells.

But if you read PreCheck through the lens of falsifiable quality systems a different narrative emerges. PreCheck is not merely an economic incentive program or a supply chain security measure. It is, more fundamentally, a confession.

It is the FDA admitting that the current Pre-Approval Inspection (PAI) and Pre-License Inspection (PLI) model—the high-stakes, eleventh-hour facility audit conducted weeks before the PDUFA date—is a profoundly inefficient mechanism for establishing trust. It is an acknowledgment that evaluating a facility’s “GMP compliance” only in the context of a specific product application, only after the facility is built, only when the approval clock is ticking, creates a system where failures are discovered at the moment when corrections are most expensive and most disruptive.

PreCheck proposes, instead, that the FDA should evaluate facilities earlier, more frequently, and independent of the product approval timeline. It proposes that manufacturers should be able to earn regulatory confidence in their facility design (Phase 1: Facility Readiness) before they ever file a product application, and that this confidence should carry forward into the application review (Phase 2: CMC streamlining).

This is not revolutionary. This is mostly how the European Medicines Agency (EMA) already works. This is the logic behind WHO Prequalification’s phased inspection model. This is the philosophy embedded in PIC/S risk-based inspection planning.

What is revolutionary—at least for the FDA—is the implicit admission that a manufacturing facility is not a binary state (compliant/non-compliant) evaluated at a single moment in time, but rather a developmental system that passes through stages of maturity, and that regulatory oversight should be calibrated to those stages.

This is not a cheerleading piece for PreCheck. It is an analysis of what PreCheck reveals about the epistemology of regulatory inspection, and a call for a more explicit, more testable framework for what it means for a facility to be “ready.” I also have concerns about the ability of the FDA to carry this out, and the dangers of on-going regulatory capture that I won’t really cover here.

Anatomy of PreCheck—What the Program Actually Proposes

The Two-Phase Structure

PreCheck is built on two complementary phases:

Phase 1: Facility Readiness
This phase focuses on early engagement between the manufacturer and the FDA during the facility’s design, construction, and pre-production stages. The manufacturer is encouraged—though not required, as the program is voluntary—to submit a Type V Drug Master File (DMF) containing:

  • Site operations layout and description
  • Pharmaceutical Quality System (PQS) elements
  • Quality Management Maturity (QMM) practices
  • Equipment specifications and process flow diagrams

This Type V DMF serves as a “living document” that can be incorporated by reference into future drug applications. The FDA will review this DMF and provide feedback on facility design, helping to identify potential compliance issues before construction is complete.

Michael Kopcha, Director of the FDA’s Office of Pharmaceutical Quality (OPQ), clarified at the September 30 public meeting that if a facility successfully completes the Facility Readiness Phase, an inspection may not be necessary when a product application is later filed.

This is the core innovation: decoupling facility assessment from product application.

Phase 2: Application Submission
Once a product application (NDA, ANDA, or BLA) is filed, the second phase focuses on streamlining the Chemistry, Manufacturing, and Controls (CMC) section of the application. The FDA offers:

  • Pre-application meetings
  • Early feedback on CMC data needs
  • Facility readiness and inspection planning discussions

Because the facility has already been reviewed in Phase 1, the CMC review can proceed with greater confidence that the manufacturing site is capable of producing the product as described in the application.

Importantly, Kopcha also clarified that only the CMC portion of the review is expedited—clinical and non-clinical sections follow the usual timeline. This is a critical limitation that industry stakeholders noted with some frustration, as it means PreCheck does not shorten the overall approval timeline as much as initially hoped.

What PreCheck Is Not

To understand what PreCheck offers, it is equally important to understand what it does not offer:

It is not a fast-track program. PreCheck does not provide priority review or accelerated approval pathways. It is a facility-focused engagement model, not a product-focused expedited review.

It is not a GMP certificate. Unlike the European system, where facilities can obtain a GMP certificate independent of any product application, PreCheck still requires a product application to trigger Phase 2. The Facility Readiness Phase (Phase 1) provides early engagement, but does not result in a standalone “facility approval” that can be referenced by multiple products or multiple sponsors.

It is not mandatory. PreCheck is voluntary. Manufacturers can continue to follow the traditional PAI/PLI pathway if they prefer.

It does not apply to existing facilities (yet). PreCheck is designed for new domestic manufacturing facilities. Industry stakeholders have requested expansion to include existing facility expansions and retrofits, but the FDA has not committed to this.

It does not decouple facility inspections from product approvals. Despite industry’s strong push for this—Big Pharma executives from Eli Lilly, Merck, and others explicitly requested at the public meeting that the FDA adopt the EMA model of decoupling GMP inspections from product applications—the FDA has not agreed to this. Phase 1 provides early feedback, but Phase 2 still ties the facility assessment to a specific product application.

The Type V DMF as the Backbone of PreCheck

The Type V Drug Master File is the operational mechanism through which PreCheck functions.

Historically, Type V DMFs have been a catch-all category for “FDA-accepted reference information” that doesn’t fit into the other DMF types (Type II for drug substances, Type III for packaging, Type IV for excipients). They have been used primarily for device constituent parts in combination products.

PreCheck repurposes the Type V DMF as a facility-centric repository. Instead of focusing on a material or a component, the Type V DMF in the PreCheck context contains:

  • Facility design: Layouts, flow diagrams, segregation strategies
  • Quality systems: Change control, deviation management, CAPA processes
  • Quality Management Maturity: Evidence of advanced quality practices beyond CGMP minimum requirements
  • Equipment and utilities: Specifications, qualification status, maintenance programs

The idea is that this DMF becomes a reusable asset. If a manufacturer builds a facility and completes the PreCheck Facility Readiness Phase, that facility’s Type V DMF can be referenced by multiple product applications from the same sponsor. This reduces redundant submissions and allows the FDA to build institutional knowledge about a facility over time.

However—and this is where the limitations become apparent—the Type V DMF is sponsor-specific. If the facility is a Contract Manufacturing Organization (CMO), the FDA has not clarified how the DMF ownership works or whether multiple API sponsors using the same CMO can leverage the same facility DMF. Industry stakeholders raised this as a significant concern at the public meeting, noting that CMOs account for approximately 50% of all facility-related CRLs.

The Type V DMF vs. Site Master File: Convergent Evolutions in Facility Documentation

The Type V DMF requirement in PreCheck bears a striking resemblance—and some critical differences—to the Site Master File (SMF) required under EU GMP and PIC/S guidelines. Understanding this comparison reveals both the potential of PreCheck and its limitations.

What is a Site Master File?

The Site Master File is a GMP documentation requirement in the EU, mandated under Chapter 4 of the EU GMP Guideline. PIC/S provides detailed guidance on SMF preparation in document PE 008-4. The SMF is:

  • facility-centric document prepared by the pharmaceutical manufacturer
  • Typically 25-30 pages plus appendices, designed to be “readable when printed on A4 paper”
  • living document that is part of the quality management system, updated regularly (recommended every 2 years)
  • Submitted to regulatory authorities to demonstrate GMP compliance and facilitate inspection planning

The purpose of the SMF is explicit: to provide regulators with a comprehensive overview of the manufacturing operations at a named site, independent of any specific product. It answers the question: “What GMP activities occur at this location?”

Required SMF Contents (per PIC/S PE 008-4 and EU guidance):

  1. General Information: Company name, site address, contact information, authorized manufacturing activities, manufacturing license copy
  2. Quality Management System: QA/QC organizational structure, key personnel qualifications, training programs, release procedures for Qualified Persons
  3. Personnel: Number of employees in production, QC, QA, warehousing; reporting structure
  4. Premises and Equipment: Site layouts, room classifications, pressure differentials, HVAC systems, major equipment lists
  5. Documentation: Description of documentation systems (batch records, SOPs, specifications)
  6. Production: Brief description of manufacturing operations, in-process controls, process validation policy
  7. Quality Control: QC laboratories, test methods, stability programs, reference standards
  8. Distribution, Complaints, and Product Recalls: Systems for handling complaints, recalls, and distribution controls
  9. Self-Inspection: Internal audit programs and CAPA systems

Critically, the SMF is product-agnostic. It describes the facility’s capabilities and systems, not specific product formulations or manufacturing procedures. An appendix may list the types of products manufactured (e.g., “solid oral dosage forms,” “sterile injectables”), but detailed product-specific CMC information is not included.

How the Type V DMF Differs from the Site Master File

The FDA’s Type V DMF in PreCheck serves a similar purpose but with important distinctions:

Similarities:

  • Both are facility-centric documents describing site operations, quality systems, and GMP capabilities
  • Both include site layouts, equipment specifications, and quality management elements
  • Both are intended to facilitate regulatory review and inspection planning
  • Both are living documents that can be updated as the facility changes

Critical Differences:

DimensionSite Master File (EU/PIC/S)Type V DMF (FDA PreCheck)
Regulatory StatusMandatory for EU manufacturing licenseVoluntary (PreCheck is voluntary program)
Independence from ProductsFully independent—facility can be certified without any product applicationPartially independent—Phase 1 allows early review, but Phase 2 still ties to product application
OwnershipFacility owner (manufacturer or CMO)Sponsor-specific—unclear for CMO facilities with multiple clients
Regulatory OutcomeCan support GMP certificate or manufacturing license independent of product approvalsDoes not result in standalone facility approval; only facilitates product application review
ScopeDescribes all manufacturing operations at the siteFocused on specific facility being built, intended to support future product applications from that sponsor
International RecognitionHarmonized internationally—PIC/S member authorities recognize each other’s SMF-based inspectionsFDA-specific—no provision for accepting EU GMP certificates or SMFs in lieu of PreCheck participation
Length and Detail25-30 pages plus appendices, designed for concisenessNo specified page limit; QMM practices component could be extensive

The Critical Gap: Product-Specificity vs. Facility Independence

The most significant difference lies in how the documents relate to product approvals.

In the EU system, a manufacturer submits the SMF to the National Competent Authority (NCA) as part of obtaining or maintaining a manufacturing license. The NCA inspects the facility and, if compliant, grants a GMP certificate that is valid across all products manufactured at that site.

When a Marketing Authorization Application (MAA) is later filed for a specific product, the CHMP can reference the existing GMP certificate and decide whether a pre-approval inspection is needed. If the facility has been recently inspected and found compliant, no additional inspection may be required. The facility’s GMP status is decoupled from the product approval.

The FDA’s Type V DMF in PreCheck does not create this decoupling. While Phase 1 allows early FDA review of the facility design, the Type V DMF is still tied to the sponsor’s product applications. It is not a standalone “facility certificate.” Multiple products from the same sponsor can reference the same Type V DMF, but the FDA has not clarified whether:

  • The DMF reduces the need for PAIs/PLIs on second, third, and subsequent products from the same facility
  • The DMF serves any function outside of the PreCheck program (e.g., for routine surveillance inspections)

At the September 30 public meeting, industry stakeholders explicitly requested that the FDA adopt the EU GMP certificate model, where facilities can be certified independent of product applications. The FDA acknowledged the request but did not commit to this approach.

Confidentiality: DMFs Are Proprietary

The Type V DMF operates under FDA’s DMF confidentiality rules (21 CFR 314.420). The DMF holder (the manufacturer) authorizes the FDA to reference the DMF when reviewing a specific sponsor’s application, but the detailed contents are not disclosed to the sponsor or to other parties. This protects proprietary manufacturing information, especially important for CMOs who serve competing sponsors.

However, PreCheck asks manufacturers to include Quality Management Maturity (QMM) practices in the Type V DMF—information that goes beyond what is typically in a DMF and beyond what is required in an SMF. As discussed earlier, industry is concerned that disclosing advanced quality practices could create new regulatory expectations or vulnerabilities. This tension does not exist with SMFs, which describe only what is required by GMP, not what is aspirational.

Could the FDA Adopt a Site Master File Model?

The comparison raises an obvious question: Why doesn’t the FDA simply adopt the EU Site Master File requirement?

Several barriers exist:

1. U.S. Legal Framework

The FDA does not issue facility manufacturing licenses the way EU NCAs do. In the U.S., a facility is “approved” only in the context of a specific product application (NDA, ANDA, BLA). The FDA has establishment registration (Form FDA 2656), but registration does not constitute approval—it is merely notification that a facility exists and intends to manufacture drugs[not in sources but common knowledge].

To adopt the EU GMP certificate model, the FDA would need either:

  • Statutory authority to issue facility licenses independent of product applications, or
  • A regulatory framework that allows facilities to earn presumption of compliance that carries across multiple products

Neither currently exists in U.S. law.

2. FDA Resource Model

The FDA’s inspection system is application-driven. PAIs and PLIs are triggered by product applications, and the cost is implicitly borne by the applicant through user fees. A facility-centric certification system would require the FDA to conduct routine facility inspections on a 1-3 year cycle (as the EMA/PIC/S model does), independent of product filings.

This would require:

  • Significant increases in FDA inspector workforce
  • A new fee structure (facility fees vs. application fees)
  • Coordination across CDER, CBER, and Office of Inspections and Investigations (OII)

PreCheck sidesteps this by keeping the system voluntary and sponsor-initiated. The FDA does not commit to routine re-inspections; it merely offers early engagement for new facilities.

3. CDMO Business Model Complexity

Approximately 50% of facility-related CRLs involve Contract Development and Manufacturing Organizations. CDMOs manufacture products for dozens or hundreds of sponsors. In the EU, the CMO has one GMP certificate that covers all its operations, and each sponsor references that certificate in their MAAs.

In the U.S., each sponsor’s product application is reviewed independently. If the FDA were to adopt a facility certificate model, it would need to resolve:

  • Who pays for the facility inspection—the CMO or the sponsors?
  • How are facility compliance issues (OAIs, warning letters) communicated across sponsors?
  • Can a facility certificate be revoked without blocking all pending product applications?

These are solvable problems—the EU has solved them—but they require systemic changes to the FDA’s regulatory framework.

The Path Forward: Incremental Convergence

The Type V DMF in PreCheck is a step toward the Site Master File model, but it is not yet there. For PreCheck to evolve into a true facility-centric system, the FDA would need to:

  1. Decouple Phase 1 (Facility Readiness) from Phase 2 (Product Application), allowing facilities to complete Phase 1 and earn a facility certificate or presumption of compliance that applies to all future products from any sponsor using that facility.
  2. Standardize the Type V DMF content to align with PIC/S SMF guidance, ensuring international harmonization and reducing duplicative submissions for facilities operating in multiple markets.
  3. Implement routine surveillance inspections (every 1-3 years) for facilities that have completed PreCheck, with inspection frequency adjusted based on compliance history (the PIC/S risk-based model). The major difference here probably would be facilities not yet engaged in commercial manufacturing.
  4. Enhance Participation in PIC/S inspection reliance, accepting EU GMP certificates and SMFs for facilities that have been recently inspected by PIC/S member authorities, and allowing U.S. Type V DMFs to be recognized internationally.

The industry’s message at the PreCheck public meeting was clear: adopt the EU model. Whether the FDA is willing—or able—to make that leap remains to be seen.

Quality Management Maturity (QMM): The Aspirational Component

Buried within the Type V DMF requirement is a more ambitious—and more controversial—element: Quality Management Maturity (QMM) practices.

QMM is an FDA initiative (led by CDER) that aims to promote quality management practices that go beyond CGMP minimum requirements. The FDA’s QMM program evaluates manufacturers on a maturity scale across five practice areas:

  1. Quality Culture and Management Commitment
  2. Risk Management and Knowledge Management
  3. Data Integrity and Information Systems
  4. Change Management and Process Control
  5. Continuous Improvement and Innovation

The QMM assessment uses a pre-interview questionnaire and interactive discussion to evaluate how effectively a manufacturer monitors and manages quality. The maturity levels range from Undefined (reactive, ad hoc) to Optimized (proactive, embedded quality culture).

The FDA ran two QMM pilot programs between October 2020 and March 2022 to test this approach. The goal is to create a system where the FDA—and potentially the market—can recognize and reward manufacturers with mature quality systems that focus on continuous improvement rather than reactive compliance.

PreCheck asks manufacturers to include QMM practices in their Type V DMF. This is where the program becomes aspirational.

At the September 30 public meeting, industry stakeholders described submitting QMM information as “risky”. Why? Because QMM is not fully defined. The assessment protocol is still in development. The maturity criteria are not standardized. And most critically, manufacturers fear that disclosing information about their quality systems beyond what is required by CGMP could create new expectations or new vulnerabilities during inspections.

One attendee noted that “QMS information is difficult to package, usually viewed on inspection”. In other words, quality maturity is something you demonstrate through behavior, not something you document in a binder.

The FDA’s inclusion of QMM in PreCheck reveals a tension: the agency wants to move beyond compliance theater—beyond the checkbox mentality of “we have an SOP for that”—and toward evaluating whether manufacturers have the organizational discipline to maintain control over time. But the FDA has not yet figured out how to do this in a way that feels safe or fair to industry.

This is the same tension I discussed in my August 2025 post on “The Effectiveness Paradox“: how do you evaluate a quality system’s capability to detect its own failures, not just its ability to pass an inspection when everything is running smoothly?

The Current PAI/PLI Model and Why It Fails

To understand why PreCheck is necessary, we must first understand why the current Pre-Approval Inspection (PAI) and Pre-License Inspection (PLI) model is structurally flawed.

The High-Stakes Inspection at the Worst Possible Time

Under the current system, the FDA conducts a PAI (for drugs under CDER) or PLI (for biologics under CBER) to verify that a manufacturing facility is capable of producing the drug product as described in the application. This inspection is risk-based—the FDA does not inspect every application. But when an inspection is deemed necessary, the timing is brutal.

As one industry executive described at the PreCheck public meeting: “We brought on a new U.S. manufacturing facility two years ago and the PAI for that facility was weeks prior to our PDUFA date. At that point, we’re under a lot of pressure. Any questions or comments or observations that come up during the PAI are very difficult to resolve in that time frame”.

This is the structural flaw: the FDA evaluates the facility after the facility is built, after the application is filed, and as close as possible to the approval decision. If the inspection reveals deficiencies—data integrity failures, inadequate cleaning validation, contamination control gaps, equipment qualification issues—the manufacturer has very little time to correct them before the PDUFA clock expires.

The result? Complete Response Letters (CRLs).

The CRL Epidemic: Facility Failures Blocking Approvals

The data on inspection-related CRLs is stark.

In a 2024 analysis of BLA outcomes, researchers found that BLAs were issued CRLs nearly half the time in 2023—the highest rate ever recorded. Of these CRLs, approximately 20% were due to facility inspection failures.

Breaking this down further:

  • Foreign manufacturing sites are associated with more CRs, proportionate to the number of PLIs conducted.
  • Approximately 50% of facility deficiencies are for Contract Development Manufacturing Organizations (CDMOs).
  • Approximately 75% of Applicant-Site CRs are for biosimilars.
  • The five most-cited facilities (each with ≥5 CRs) account for ~35% of all CR deficiencies.

In a separate analysis of CRL drivers from 2020–2024, Manufacturing/CMC deficiencies and Facility Inspection Failures together account for over 60% of all CRLs. This includes:

  • Inadequate control of production processes
  • Unstable manufacturing
  • Data gaps in CMC
  • GMP site inspections revealing uncontrolled processes, document gaps, hygiene issues

The pattern is clear: facility issues discovered late in the approval process are causing massive delays.

Why the Late-Stage Inspection Model Creates Failure

The PAI/PLI model creates failure for three reasons:

1. The Inspection Evaluates “Work-as-Done” When It’s Too Late to Change It

When the FDA arrives for a PAI/PLI, the facility is already built. The equipment is already installed. The processes are already validated (or supposed to be). The SOPs are already written.

If the inspector identifies a fundamental design flaw—say, inadequate segregation between manufacturing suites, or a HVAC system that cannot maintain differential pressure during interventions—the manufacturer cannot easily fix it. Redesigning cleanroom airflow or adding airlocks requires months of construction and re-qualification. The PDUFA clock does not stop.

This is analogous to the Rechon Life Science warning letter I analyzed in September 2025, where the smoke studies revealed turbulent airflow over open vials, contradicting the firm’s Contamination Control Strategy. The CCS claimed unidirectional flow protected the product. The smoke video showed eddies. But by the time this was discovered, the facility was operational, the batches were made, and the “fix” required redesigning the isolator.

2. The Inspection Creates Adversarial Pressure Instead of Collaborative Learning

Because the PAI occurs weeks before the PDUFA date, the inspection becomes a pass/fail exam rather than a learning opportunity. The manufacturer is under intense pressure to defend their systems rather than interrogate them. Questions from inspectors are perceived as threats, not invitations to improve.

This is the opposite of the falsifiable quality mindset. A falsifiable system would welcome the inspection as a chance to test whether the control strategy holds up under scrutiny. But the current timing makes this psychologically impossible. The stakes are too high.

3. The Inspection Conflates “Facility Capability” with “Product-Specific Compliance”

The PAI/PLI is nominally about verifying that the facility can manufacture the specific product in the application. But in practice, inspectors evaluate general GMP compliance—data integrity, quality unit independence, deviation investigation rigor, cleaning validation adequacy—not just product-specific manufacturing steps.

The FDA does not give “facility certificates” like the EMA does. Every product application triggers a new inspection (or waiver decision) based on the facility’s recent inspection history. This means a facility with a poor inspection outcome on one product will face heightened scrutiny on all subsequent products—creating a negative feedback loop.

Comparative Regulatory Philosophy—EMA, WHO, and PIC/S

To understand whether PreCheck is sufficient, we must compare it to how other regulatory agencies conceptualize facility oversight.

The EMA Model: Decoupling and Delegation

The European Medicines Agency (EMA) operates a decentralized inspection system. The EMA itself does not conduct inspections; instead, National Competent Authorities (NCAs) in EU member states perform GMP inspections on behalf of the EMA.

The key structural differences from the FDA:

1. Facility Inspections Are Decoupled from Product Applications

In the EU, a manufacturing facility can be inspected and receive a GMP certificate from the NCA independent of any specific product application. This certificate attests that the facility complies with EU GMP and is capable of manufacturing medicinal products according to its authorized scope.

When a Marketing Authorization Application (MAA) is filed, the CHMP (Committee for Medicinal Products for Human Use) can request a GMP inspection if needed, but if the facility has a recent GMP certificate in good standing, a new inspection may not be necessary.

This means the facility’s “GMP status” is assessed separately from the product’s clinical and CMC review. Facility issues do not automatically block product approval—they are addressed through a separate remediation pathway.

2. Risk-Based and Reliance-Based Inspection Planning

The EMA employs a risk-based approach to determine inspection frequency. Facilities are inspected on a routine re-inspection program (typically every 1-3 years depending on risk), with the frequency adjusted based on:

  • Previous inspection findings (critical, major, or minor deficiencies)
  • Product type and patient risk
  • Manufacturing complexity
  • Company compliance history

Additionally, the EMA participates in PIC/S inspection reliance (discussed below), meaning it may accept inspection reports from other competent authorities without conducting its own inspection.

3. Mutual Recognition Agreement (MRA) with the FDA

The U.S. and EU have a Mutual Recognition Agreement for GMP inspections. Under this agreement, the FDA and EMA recognize each other’s inspection outcomes for human medicines, reducing duplicate inspections.

Importantly, the EMA has begun accepting FDA inspection reports proactively during the pre-submission phase. Applicants can provide FDA inspection reports to support their MAA, allowing the EMA to make risk-based decisions about whether an additional inspection is needed.

This is the inverse of what the FDA is attempting with PreCheck. The EMA is saying: “We trust the FDA’s inspection, so we don’t need to repeat it.” The FDA, with PreCheck, is saying: “We will inspect early, so we don’t need to repeat it later.” Both approaches aim to reduce redundancy, but the EMA’s reliance model is more mature.

WHO Prequalification: Phased Inspections and Leveraging SRAs

The WHO Prequalification (PQ) program provides an alternative model for facility assessment, particularly relevant for manufacturers in low- and middle-income countries (LMICs).

Key features:

1. Inspection Occurs During the Dossier Assessment, Not After

Unlike the FDA’s PAI (which occurs near the end of the review), WHO PQ conducts inspections within 6 months of dossier acceptance for assessment. This means the facility inspection happens in parallel with the technical review, not at the end.

If the inspection reveals deficiencies, the manufacturer submits a Corrective and Preventive Action (CAPA) plan, and WHO conducts a follow-up inspection within 6-9 months. The prequalification decision is not made until the inspection is closed.

This phased approach reduces the “all-or-nothing” pressure of the FDA’s late-stage PAI.

2. Routine Inspections Every 1-3 Years

Once a product is prequalified, WHO conducts routine inspections every 1-3 years to verify continued compliance. This aligns with the Continued Process Verification concept in FDA’s Stage 3 validation—the idea that a facility is not “validated forever” after one inspection, but must demonstrate ongoing control.

3. Reliance on Stringent Regulatory Authorities (SRAs)

WHO PQ may leverage inspection reports from Stringent Regulatory Authorities (SRAs) or WHO-Listed Authorities (WLAs). If the facility has been recently inspected by an SRA (e.g., FDA, EMA, Health Canada) and the scope is appropriate, WHO may waive the onsite inspection and rely on the SRA’s findings.

This is a trust-based model: WHO recognizes that conducting duplicate inspections wastes resources, and that a well-documented inspection by a competent authority provides sufficient assurance.

The FDA’s PreCheck program does not include this reliance mechanism. PreCheck is entirely FDA-centric—there is no provision for accepting EMA or WHO inspection reports to satisfy Phase 1 or Phase 2 requirements.

PIC/S: Risk-Based Inspection Planning and Classification

The Pharmaceutical Inspection Co-operation Scheme (PIC/S) is an international framework for harmonizing GMP inspections across member authorities.

Two key PIC/S documents are relevant to this discussion:

1. PI 037-1: Risk-Based Inspection Planning

PIC/S provides a qualitative risk management tool to help inspectorates prioritize inspections. The model assigns each facility a risk rating (A, B, or C) based on:

  • Intrinsic Risk: Product type, complexity, patient population
  • Compliance Risk: Previous inspection outcomes, deficiency history

The risk rating determines inspection frequency:

  • A (Low Risk): Reduced frequency (2-3 years)
  • B (Moderate Risk): Moderate frequency (1-2 years)
  • C (High Risk): Increased frequency (<1 year, potentially multiple times per year)

Critically, PIC/S assumes that every manufacturer will be inspected at least once within the defined period. There is no such thing as “perpetual approval” based on one inspection.

2. PI 048-1: GMP Inspection Reliance

PIC/S introduced a guidance on inspection reliance in 2018. This guidance provides a framework for desktop assessment of GMP compliance based on the inspection activities of other competent authorities.

The key principle: if another PIC/S member authority has recently inspected a facility and found it compliant, a second authority may accept that finding without conducting its own inspection.

This reliance is conditional—the accepting authority must verify that:

  • The scope of the original inspection covers the relevant products and activities
  • The original inspection was recent (typically within 2-3 years)
  • The original authority is a trusted PIC/S member
  • There have been no significant changes or adverse events since the inspection

This is the most mature version of the trust-based inspection model. It recognizes that GMP compliance is not a static state that can be certified once, but also that redundant inspections by multiple authorities waste resources and delay market access.

Comparative Summary

DimensionFDA (Current PAI/PLI)FDA PreCheck (Proposed)EMA/EUWHO PQPIC/S Framework
Timing of InspectionLate (near PDUFA)Early (design phase) + Late (application)Variable, risk-basedEarly (during assessment)Risk-based (1-3 years)
Facility vs. Product FocusProduct-specificFacility (Phase 1) → Product (Phase 2)Facility-centric (GMP certificate)Product-specific with facility focusFacility-centric
DecouplingNoPartial (Phase 1 early feedback)Yes (GMP certificate independent)No, but phasedYes (risk-based frequency)
Reliance on Other AuthoritiesNoNoYes (MRA, PIC/S)Yes (SRA reliance)Yes (core principle)
FrequencyPer-applicationPhase 1 (once) → Phase 2 (per-application)Routine re-inspection (1-3 years)Routine (1-3 years)Risk-based (A/B/C)
Consequence of FailureCRL, approval blockedPhase 1: design guidance; Phase 2: potential CRLCAPA, may not block approvalCAPA, follow-up inspectionRemediation, increased frequency

The striking pattern: the FDA is the outlier. Every other major regulatory system has moved toward:

  • Decoupling facility inspections from product applications
  • Risk-based, routine inspection frequencies
  • Reliance mechanisms to avoid duplicate inspections
  • Facility-centric GMP certificates or equivalent

PreCheck is the FDA’s first step toward this model, but it is not yet there. Phase 1 provides early engagement, but Phase 2 still ties facility assessment to a specific product. PreCheck does not create a standalone “facility approval” that can be referenced across products or shared among CMO clients.

Potential Benefits of PreCheck (When It Works)

Despite its limitations, PreCheck could offer potential real benefits over the status quo—if it is implemented effectively.

Benefit 1: Early Detection of Facility Design Flaws

The most obvious benefit of PreCheck is that it allows the FDA to review facility design during construction, rather than after the facility is operational.

As one industry expert noted at the public meeting: “You’re going to be able to solve facility issues months, even years before they occur”.

Consider the alternative. Under the current PAI/PLI model, if the FDA inspector discovers during a pre-approval inspection that the cleanroom differential pressure cannot be maintained during material transfer, the manufacturer faces a choice:

  • Redesign the HVAC system (months of construction, re-commissioning, re-qualification)
  • Withdraw the application
  • Argue that the deficiency is not critical and hope the FDA agrees

All of these options are expensive and delay the product launch.

PreCheck, by contrast, allows the FDA to flag this issue during the design review (Phase 1), when the HVAC system is still on the engineering drawings. The manufacturer can adjust the design before pouring concrete.

This is the principle of Design Qualification (DQ) applied to the regulatory inspection timeline. Just as equipment must pass DQ before moving to Installation Qualification (IQ), the facility should pass regulatory design review before moving to construction and operation.

Benefit 2: Reduced Uncertainty and More Predictable Timelines

The current PAI/PLI system creates uncertainty about whether an inspection will be scheduled, when it will occur, and what the outcome will be.

Manufacturers described this uncertainty as one of the biggest pain points at the PreCheck public meeting. One executive noted that PAIs are often scheduled with short notice, and manufacturers struggle to align their production schedules (especially for seasonal products like vaccines) with the FDA’s inspection availability.

PreCheck introduces structure to this chaos. If a manufacturer completes Phase 1 successfully, the FDA has already reviewed the facility and provided feedback. The manufacturer knows what the FDA expects. When Phase 2 begins (the product application), the CMC review can proceed with greater confidence that facility issues will not derail the approval.

This does not eliminate uncertainty entirely—Phase 2 still involves an inspection (or inspection waiver decision), and deficiencies can still result in CRLs. But it shifts the uncertainty earlier in the process, when corrections are cheaper.

Benefit 3: Building Institutional Knowledge at the FDA

One underappreciated benefit of PreCheck is that it allows the FDA to build institutional knowledge about a manufacturer’s quality systems over time.

Under the current model, a PAI inspector arrives at a facility for 5-10 days, reviews documents, observes operations, and leaves. The inspection report is filed. If the same facility files a second product application two years later, a different inspector may conduct the PAI, and the process starts from scratch.

The PreCheck Type V DMF, by contrast, is a living document that accumulates information about the facility over its lifecycle. The FDA reviewers who participate in Phase 1 (design review) can provide continuity into Phase 2 (application review) and potentially into post-approval surveillance.

This is the principle behind the EMA’s GMP certificate model: once the facility is certified, subsequent inspections build on the previous findings rather than starting from zero.

Industry stakeholders explicitly requested this continuity at the PreCheck meeting, asking the FDA to “keep the same reviewers in place as the process progresses”. The implication: trust is built through relationships and institutional memory, not one-off inspections.

Benefit 4: Incentivizing Quality Management Maturity

By including Quality Management Maturity (QMM) practices in the Type V DMF, PreCheck encourages manufacturers to invest in advanced quality systems beyond CGMP minimums.

This is aspirational, not transactional. The FDA is not offering faster approvals or reduced inspection frequency in exchange for QMM participation—at least not yet. But the long-term vision is that manufacturers with mature quality systems will be recognized as lower-risk, and this recognition could translate into regulatory flexibility (e.g., fewer post-approval inspections, faster review of post-approval changes).

This aligns with the philosophy I have argued for throughout 2025: a quality system should not be judged by its compliance on the day of the inspection, but by its ability to detect and correct failures over time. A mature quality system is one that is designed to falsify its own assumptions—to seek out the cracks before they become catastrophic failures.

The QMM framework is the FDA’s attempt to operationalize this philosophy. Whether it succeeds depends on whether the FDA can develop a fair, transparent, and non-punitive assessment protocol—something industry is deeply skeptical about.

Challenges and Industry Concerns

The September 30, 2025 public meeting revealed that while industry welcomes PreCheck, the program as proposed has significant gaps.

Challenge 1: PreCheck Does Not Decouple Facility Inspections from Product Approvals

The single most consistent request from industry was: decouple GMP facility inspections from product applications.

Executives from Eli Lilly, Merck, Johnson & Johnson, and others explicitly called for the FDA to adopt the EMA model, where a facility can be inspected and certified independent of a product application, and that certification can be referenced by multiple products.

Why does this matter? Because under the current system (and under PreCheck as proposed), if a facility has a compliance issue, all product applications relying on that facility are at risk.

Consider a CMO that manufactures API for 10 different sponsors. If the CMO fails a PAI for one sponsor’s product, the FDA may place the entire facility under heightened scrutiny, delaying approvals for all 10 sponsors. This creates a cascade failure where one product’s facility issue blocks the market access of unrelated products.

The EMA’s GMP certificate model avoids this by treating the facility as a separate regulatory entity. If the facility has compliance issues, the NCA works with the facility to remediate them independent of pending product applications. The product approvals may be delayed, but the remediation pathway is separate.

The FDA’s Michael Kopcha acknowledged the request but did not commit: “Decoupling, streamlining, and more up-front communication is helpful… We will have to think about how to go about managing and broadening the scope”.

Challenge 2: PreCheck Only Applies to New Facilities, Not Existing Ones

PreCheck is designed for new domestic manufacturing facilities. But the majority of facility-related CRLs involve existing facilities—either because they are making post-approval changes, transferring manufacturing sites, or adding new products.

Industry stakeholders requested that PreCheck be expanded to include:

  • Existing facility expansions and retrofits
  • Post-approval changes (e.g., adding a new production line, changing a manufacturing process)
  • Site transfers (moving production from one facility to another)

The FDA did not commit to this expansion, but Kopcha noted that the agency is “thinking about how to broaden the scope”.

The challenge here is that the FDA lacks a facility lifecycle management framework. The current system treats each product application as a discrete event, with no mechanism for a facility to earn cumulative credit for good performance across multiple products over time.

This is what the PIC/S risk-based inspection model provides: a facility with a strong compliance history moves to reduced inspection frequency (e.g., every 3 years instead of annually). A facility with a poor history moves to increased frequency (e.g., multiple inspections per year). The inspection burden is proportional to risk.

PreCheck Phase 1 could serve this function—if it were expanded to existing facilities. A CMO that completes Phase 1 and demonstrates mature quality systems could earn presumption of compliance for future product applications, reducing the need for repeated PAIs/PLIs.

But as currently designed, PreCheck is a one-time benefit for new facilities only.

Challenge 3: Confidentiality and Intellectual Property Concerns

Manufacturers expressed significant concern about what information the FDA will require in the Type V DMF and whether that information will be protected from Freedom of Information Act (FOIA) requests.

The concern is twofold:

1. Proprietary Manufacturing Details

The Type V DMF is supposed to include facility layouts, equipment specifications, and process flow diagrams. For some manufacturers—especially those with novel technologies or proprietary processes—this information is competitively sensitive.

If the DMF is subject to FOIA disclosure (even with redactions), competitors could potentially reverse-engineer the manufacturing strategy.

2. CDMO Relationships

For Contract Development and Manufacturing Organizations (CDMOs), the Type V DMF creates a dilemma. The CDMO owns the facility, but the sponsor owns the product. Who submits the DMF? Who controls access to it? If multiple sponsors use the same CDMO facility, can they all reference the same DMF, or must each sponsor submit a separate one?

Industry requested clarity on these ownership and confidentiality issues, but the FDA has not yet provided detailed guidance.

This is not a trivial concern. Approximately 50% of facility-related CRLs involve CDMOs. If PreCheck cannot accommodate the CDMO business model, its utility is limited.

The Confidentiality Paradox: Good for Companies, Uncertain for Consumers

The confidentiality protections embedded in the DMF system—and by extension, in PreCheck’s Type V DMF—serve a legitimate commercial purpose. They allow manufacturers to protect proprietary manufacturing processes, equipment specifications, and quality system innovations from competitors. This protection is particularly critical for Contract Manufacturing Organizations (CMOs) who serve multiple competing sponsors and cannot afford to have one client’s proprietary methods disclosed to another.

But there is a tension here that deserves explicit acknowledgment: confidentiality rules that benefit companies are not necessarily optimal for consumers. This is not an argument for eliminating trade secret protections—innovation requires some degree of secrecy. Rather, it is a call to examine where the balance is struck and whether current confidentiality practices are serving the public interest as robustly as they serve commercial interests.

What Confidentiality Hides from Public View

Under current FDA confidentiality rules (21 CFR 314.420 for DMFs, and broader FOIA exemptions for commercial information), the following categories of information are routinely shielded from public disclosure.

The detailed manufacturing procedures, equipment specifications, and process parameters submitted in Type II DMFs (drug substances) and Type V DMFs (facilities) are never disclosed to the public. They may not even be disclosed to the sponsor referencing the DMF—only the FDA reviews them.

This means that if a manufacturer is using a novel but potentially risky manufacturing technique—say, a continuous manufacturing process that has not been validated at scale, or a cleaning procedure that is marginally effective—the public has no way to know. The FDA reviews this information, but the public cannot verify the FDA’s judgment.

2. Drug Pricing Data and Financial Arrangements

Pharmaceutical companies have successfully invoked trade secret protections to keep drug prices, manufacturing costs, and financial arrangements (rebates, discounts) confidential. In the United States, transparency laws requiring companies to disclose drug pricing information have faced constitutional challenges on the grounds that such disclosure constitutes an uncompensated “taking” of trade secrets.

This opacity prevents consumers, researchers, and policymakers from understanding why drugs cost what they cost and whether those prices are justified by manufacturing expenses or are primarily driven by monopoly pricing.

3. Manufacturing Deficiencies and Inspection Findings

When the FDA conducts an inspection and issues a Form FDA 483 (Inspectional Observations), those observations are eventually made public. But the detailed underlying evidence—the batch records showing failures, the deviations that were investigated, the CAPA plans that were proposed—remain confidential as part of the company’s internal quality records.

This means the public can see that a deficiency occurred, but cannot assess how serious it was or whether the corrective action was adequate. We are asked to trust that the FDA’s judgment was sound, without access to the data that informed that judgment.

The Public Interest Argument for Greater Transparency

The case for reducing confidentiality protections—or at least creating exceptions for public health—rests on several arguments:

Argument 1: The Public Funds Drug Development

As health law scholars have noted, the public makes extraordinary investments in private companies’ drug research and development through NIH grants, tax incentives, and government contracts. Yet details of clinical trial data, manufacturing processes, and government contracts often remain secret, even though the public paid for the research.

During the COVID-19 pandemic, for example, the Johnson & Johnson vaccine contract explicitly allowed the company to keep secret “production/manufacturing know-how, trade secrets, [and] clinical data,” despite massive public funding of the vaccine’s development. European Commission vaccine contracts similarly included generous redactions of price per dose, amounts paid up front, and rollout schedules.

If the public is paying for innovation, the argument goes, the public should have access to the results.

Argument 2: Regulators Are Understaffed and Sometimes Wrong

The FDA is chronically understaffed and under pressure to approve medicines quickly. Regulators sometimes make mistakes. Without access to the underlying data—manufacturing details, clinical trial results, safety signals—independent researchers cannot verify the FDA’s conclusions or identify errors that might not be apparent to a time-pressured reviewer.

Clinical trial transparency advocates argue that summary-level data, study protocols, and even individual participant data can be shared in ways that protect patient privacy (through anonymization and redaction) while allowing independent verification of safety and efficacy claims.

The same logic applies to manufacturing data. If a facility has chronic contamination control issues, or a process validation that barely meets specifications, should that information remain confidential? Or should researchers, patient advocates, and public health officials have access to assess whether the FDA’s acceptance of the facility was reasonable?

Argument 3: Trade Secret Claims Are Often Overbroad

Legal scholars studying pharmaceutical trade secrecy have documented that companies often claim trade secret protection for information that does not meet the legal definition of a trade secret.

For example, “naked price” information—the actual price a company charges for a drug—has been claimed as a trade secret to prevent regulatory disclosure, even though such information provides minimal competitive advantage and is of significant public interest. Courts have begun to push back on these claims, recognizing that the public interest in transparency can outweigh the commercial interest in secrecy, especially in highly regulated industries like pharmaceuticals.

The concern is that companies use trade secret law strategically to suppress unwanted regulation, transparency, and competition—not to protect genuine innovations.

Argument 4: Secrecy Delays Generic Competition

Even after patent and data exclusivity periods expire, trade secret protections allow pharmaceutical companies to keep the precise composition or manufacturing process for medications confidential. This slows the release of generic competitors by preventing them from relying on existing engineering and manufacturing data.

For complex biologics, this problem is particularly acute. Biosimilar developers must reverse-engineer the manufacturing process without access to the originator’s process data, leading to delays of many years and higher costs.

If manufacturing data were disclosed after a defined exclusivity period—say, 10 years—generic and biosimilar developers could bring competition to market faster, reducing drug prices for consumers.

The Counter-Argument: Why Companies Need Confidentiality

It is important to acknowledge the legitimate reasons why confidentiality protections exist:

1. Protecting Innovation Incentives

If manufacturing processes were disclosed, competitors could immediately copy them, undermining the innovator’s investment in developing the process. This would reduce incentives for process innovation and potentially slow the development of more efficient, higher-quality manufacturing methods.

2. Preventing Misuse of Information

Detailed manufacturing data could, in theory, be used by bad actors to produce counterfeit drugs or to identify vulnerabilities in the supply chain. Confidentiality reduces these risks.

3. Maintaining Competitive Differentiation

For CMOs in particular, their manufacturing expertise is their product. If their processes were disclosed, they would lose competitive advantage and potentially business. This could consolidate the industry and reduce competition among manufacturers.

4. Protecting Collaborations

The DMF system enables collaborations between API suppliers, excipient manufacturers, and drug sponsors precisely because each party can protect its proprietary information. If all information had to be disclosed, vertical integration would increase (companies would manufacture everything in-house to avoid disclosure), reducing specialization and efficiency.

Where Should the Balance Be?

The tension is real, and there is no simple resolution. But several principles might guide a more consumer-protective approach to confidentiality:

Principle 1: Time-Limited Secrecy

Trade secrets currently have no expiration date—they can remain secret indefinitely, as long as they remain non-public. But public health interests might be better served by time-limited confidentiality. After a defined period (e.g., 10-15 years post-approval), manufacturing data could be disclosed to facilitate generic/biosimilar competition.

Principle 2: Public Interest Exceptions

Confidentiality rules should include explicit public health exceptions that allow disclosure when there is a compelling public interest—for example, during pandemics, public health emergencies, or when safety signals emerge. Oregon’s drug pricing transparency law includes such an exception: trade secrets are protected unless the public interest requires disclosure.

Principle 3: Independent Verification Rights

Researchers, patient advocates, and public health officials should have structured access to clinical trial data, manufacturing data, and inspection findings under conditions that protect commercial confidentiality (e.g., through data use agreements, anonymization, secure research environments). The goal is not to publish trade secrets on the internet, but to enable independent verification of regulatory decisions.

The FDA already does this in limited ways—for example, by allowing outside experts to review confidential data during advisory committee meetings under non-disclosure agreements. This model could be expanded.

Principle 4: Narrow Trade Secret Claims

Courts and regulators should scrutinize trade secret claims more carefully, rejecting overbroad claims that seek to suppress transparency without protecting genuine innovation. “Naked price” information, aggregate safety data, and high-level manufacturing principles should not qualify for trade secret protection, even if detailed process parameters do.

Implications for PreCheck

In the context of PreCheck, the confidentiality tension manifests in several ways:

For Type V DMFs: The facility information submitted in Phase 1—site layouts, quality systems, QMM practices—will be reviewed by the FDA but not disclosed to the public or even to other sponsors using the same CMO. If a facility has marginal quality practices but passes PreCheck Phase 1, the public will never know. We are asked to trust the FDA’s judgment without transparency into what was reviewed or what deficiencies (if any) were identified.

For QMM Disclosure: Industry is concerned that submitting Quality Management Maturity information is “risky” because it discloses advanced practices beyond CGMP requirements. But the flip side is: if manufacturers are not willing to disclose their quality practices, how can regulators—or the public—assess whether those practices are adequate?

QMM is supposed to reward transparency and maturity. But if the information remains confidential and is never subjected to independent scrutiny, it becomes another form of compliance theater—a document that the FDA reviews in secret, with no external verification.

For Inspection Reliance: If the FDA begins accepting EMA GMP certificates or PIC/S inspection reports (as industry has requested), will those international inspection findings be more transparent than U.S. inspections? In some jurisdictions, yes—the EU publishes more detailed inspection outcomes than the FDA does. But in other jurisdictions, confidentiality practices may be even more restrictive.

A Tension Worth Monitoring

I do not claim to have resolved this tension. Reasonable people can disagree on where the line should be drawn between protecting innovation and ensuring public accountability.

But what I will argue is this: the tension deserves ongoing attention. As PreCheck evolves, as QMM assessments become more detailed, as Type V DMFs accumulate facility data over years—we should ask, repeatedly:

  • Who benefits from confidentiality, and who bears the risk?
  • Are there ways to enable independent verification without destroying commercial incentives?
  • Is the FDA using its discretion to share data proactively, or defaulting to secrecy when transparency might serve the public interest?

The history of pharmaceutical regulation is, in part, a history of secrets revealed too late. Vioxx’s cardiovascular risks. Thalidomide’s teratogenicity. OxyContin’s addictiveness. In each case, information that was known or knowable earlier remained hidden—sometimes due to fraud, sometimes due to regulatory caution, sometimes due to confidentiality rules that prioritized commercial interests over public health.

PreCheck, if it succeeds, will create a new repository of confidential facility data held by the FDA. That data could be a public asset—enabling faster approvals, better-informed regulatory decisions, earlier detection of quality problems. Or it could become another black box, where the public is asked to trust that the system works without access to the evidence.

The choice is not inevitable. It is a design decision—one that regulators, legislators, and industry will make, explicitly or implicitly, in the years ahead.

We should make it explicitly, with full awareness of whose interests are being prioritized and what risks are being accepted on behalf of patients who have no seat at the table.

Challenge 4: QMM is Not Fully Defined, and Submission Feels “Risky”

As discussed earlier, manufacturers are wary of submitting Quality Management Maturity (QMM) information because the assessment framework is not fully developed.

One attendee at the public meeting described QMM submission as “risky” because:

  • The FDA has not published the final QMM assessment protocol
  • The maturity criteria are subjective and open to interpretation
  • Disclosing quality practices beyond CGMP requirements could create new expectations that the manufacturer must meet

The analogy is this: if you tell the FDA, “We use statistical process control to detect process drift in real-time,” the FDA might respond, “Great! Show us your SPC data for the last two years.” If that data reveals a trend that the manufacturer considered acceptable but the FDA considers concerning, the manufacturer has created a problem by disclosing the information.

This is the opposite of the trust-building that QMM is supposed to enable. Instead of rewarding manufacturers for advanced quality practices, the program risks punishing them for transparency.

Until the FDA clarifies that QMM participation is non-punitive and that disclosure of advanced practices will not trigger heightened scrutiny, industry will remain reluctant to engage fully with this component of PreCheck.

Challenge 5: Resource Constraints—Will PreCheck Starve Other FDA Programs?

Industry stakeholders raised a practical concern: if the FDA dedicates inspectors and reviewers to PreCheck, will that reduce resources for routine surveillance inspections, post-approval change reviews, and other critical programs?

The FDA has not provided a detailed resource plan for PreCheck. The program is described as voluntary, which implies it is additive to existing workload, not a replacement for existing activities.

But inspectors and reviewers are finite resources. If PreCheck becomes popular (which the FDA hopes it will), the agency will need to either:

  • Hire additional staff to support PreCheck (requiring Congressional appropriations)
  • Deprioritize other inspection activities (e.g., routine surveillance)
  • Limit the number of PreCheck engagements per year (creating a bottleneck)

One industry representative noted that the economic incentives for domestic manufacturing are weak—it takes 5-7 years to build a new plant, and generic drug margins are thin. Unless the FDA can demonstrate that PreCheck provides substantial time and cost savings, manufacturers may not participate at the scale needed to meet the program’s supply chain security goals.

The CRL Crisis—How Facility Deficiencies Are Blocking Approvals

To understand the urgency of PreCheck, we must examine the data on inspection-related Complete Response Letters (CRLs).

The Numbers: CRLs Are Rising, Facility Issues Are a Leading Cause

In 2023, BLAs were issued CRLs nearly half the time—an unprecedented rate. This represents a sharp increase from previous years, driven by multiple factors:

  • More BLA submissions overall (especially biosimilars under the 351(k) pathway)
  • Increased scrutiny of manufacturing and CMC sections
  • More for-cause inspections (up 250% in 2025 compared to historical baseline)

Of the CRLs issued in 2023-2024, approximately 20% were due to facility inspection failures. This makes facility issues the third most common CRL driver, behind Manufacturing/CMC deficiencies (44%) and Clinical Evidence Gaps (44%).

Breaking down the facility-related CRLs:

  • Foreign manufacturing sites are associated with more CRLs proportionate to the number of PLIs conducted
  • 50% of facility deficiencies involve Contract Manufacturing Organizations (CMOs)
  • 75% of Applicant-Site CRs are for biosimilar applications
  • The five most-cited facilities account for ~35% of CR deficiencies

This last statistic is revealing: the CRL problem is concentrated among a small number of repeat offenders. These facilities receive CRLs on multiple products, suggesting systemic quality issues that are not being resolved between applications.

What Deficiencies Are Causing CRLs?

Analysis of FDA 483 observations and warning letters from FY2024 reveals the top inspection findings driving CRLs:

  1. Data Integrity Failures (most common)
    • ALCOA+ principles not followed
    • Inadequate audit trails
    • 21 CFR Part 11 non-compliance
  2. Quality Unit Failures
    • Inadequate oversight
    • Poor release decisions
    • Ineffective CAPA systems
    • Superficial root cause analysis
  3. Inadequate Process/Equipment Qualification
    • Equipment not qualified before use
    • Process validation protocols deficient
    • Continued Process Verification not implemented
  4. Contamination Control and Environmental Monitoring Issues
    • Inadequate monitoring locations (the “representative” trap discussed in my Rechon and LeMaitre analyses)
    • Failure to investigate excursions
    • Contamination Control Strategy not followed
  5. Stability Program Deficiencies
    • Incomplete stability testing
    • Data does not support claimed shelf-life

These findings are not product-specific. They are systemic quality system failures that affect the facility’s ability to manufacture any product reliably.

This is the fundamental problem with the current PAI/PLI model: the FDA discovers general GMP deficiencies during a product-specific inspection, and those deficiencies block approval even though they are not unique to that product.

The Cascade Effect: One Facility Failure Blocks Multiple Approvals

The data on repeat offenders is particularly troubling. Facilities with ≥3 CRs are primarily biosimilar manufacturers or CMOs.

This creates a cascade: a CMO fails a PLI for Product A. The FDA places the CMO on heightened surveillance. Products B, C, and D—all unrelated to Product A—face delayed PAIs because the FDA prioritizes re-inspecting the CMO to verify corrective actions. By the time Products B, C, and D reach their PDUFA dates, the CMO still has not cleared the OAI classification, and all three products receive CRLs.

This is the opposite of a risk-based system. Products B, C, and D are being held hostage by Product A’s facility issues, even though the manufacturing processes are different and the sponsors are different.

The EMA’s decoupled model avoids this by treating the facility as a separate remediation pathway. If the CMO has GMP issues, the NCA works with the CMO to fix them. Product applications proceed on their own timeline. If the facility is not compliant, products cannot be approved, but the remediation does not block the application review.

For-Cause Inspections: The FDA Is Catching More Failures

One contributing factor to the rise in CRLs is the sharp increase in for-cause inspections.

In 2025, the FDA conducted for-cause inspections at nearly 25% of all inspection events, up from the historical baseline of ~10%. For-cause inspections are triggered by:

  • Consumer complaints
  • Post-market safety signals (Field Alert Reports, adverse event reports)
  • Product recalls or field alerts
  • Prior OAI inspections or warning letters

For-cause inspections have a 33.5% OAI rate—5.6 times higher than routine inspections. And approximately 50% of OAI classifications lead to a warning letter or import alert.

This suggests that the FDA is increasingly detecting facilities with serious compliance issues that were not evident during prior routine inspections. These facilities are then subjected to heightened scrutiny, and their pending product applications face CRLs.

The problem: for-cause inspections are reactive. They occur after a failure has already reached the market (a recall, a complaint, a safety signal). By that point, patient harm may have already occurred.

PreCheck is, in theory, a proactive alternative. By evaluating facilities early (Phase 1), the FDA can identify systemic quality issues before the facility begins commercial manufacturing. But PreCheck only applies to new facilities. It does not solve the problem of existing facilities with poor compliance histories.


A Framework for Site Readiness—In Place, In Use, In Control

The current PAI/PLI model treats site readiness as a binary: the facility is either “compliant” or “not compliant” at a single moment in time.

PreCheck introduces a two-phase model, separating facility design review (Phase 1) from product-specific review (Phase 2).

But I propose that a more useful—and more falsifiable—framework for site readiness is three-stage:

  1. In Place: Systems, procedures, equipment, and documentation exist and meet design specifications.
  2. In Use: Systems and procedures are actively implemented in routine operations as designed.
  3. In Control: Systems maintain validated state through continuous verification, trend analysis, and proactive improvement.

This framework maps directly onto:

  • The FDA’s process validation lifecycle (Stage 1: Process Design = In Place; Stage 2: Process Qualification = In Use; Stage 3: Continued Process Verification = In Control)
  • The ISPE/EU Annex 15 qualification stages (DQ/IQ = In Place; OQ/PQ = In Use; Ongoing monitoring = In Control)
  • The ICH Q10 “state of control” concept (In Control)

The advantage of this framework is that it explicitly separates three distinct questions that are often conflated:

  • Does the system exist? (In Place)
  • Is the system being used? (In Use)
  • Is the system working? (In Control)

A facility can be “In Place” without being “In Use” (e.g., SOPs are written but operators are not trained). A facility can be “In Use” without being “In Control” (e.g., operators follow procedures, but the process produces high variability and frequent deviations).

Let me define each stage in detail.

Stage 1: In Place (Structural Readiness)

Definition: Systems, procedures, equipment, and documentation exist and meet design specifications.

This is the output of Design Qualification (DQ) and Installation Qualification (IQ). It answers the question: “Has the facility been designed and built according to GMP requirements?”

Key Elements:

  • Facility layout meets User Requirements Specification (URS) and regulatory expectations
  • Equipment installed per manufacturer specifications
  • SOPs written and approved
  • Quality systems documented (change control, deviation management, CAPA, training)
  • Utilities qualified (HVAC, water systems, compressed air, clean steam)
  • Cleaning and sanitation programs established
  • Environmental monitoring plan defined
  • Personnel hired and organizational chart defined

Assessment Methods:

  • Document review (URS, design specifications, as-built drawings)
  • Equipment calibration certificates
  • SOP index review
  • Site Master File review
  • Validation Master Plan review

Alignment with PreCheck: This is what Phase 1 (Facility Readiness) evaluates. The Type V DMF submitted during Phase 1 contains evidence that systems are In Place.

Alignment with EMA: This corresponds to the initial GMP inspection conducted by the NCA before granting a manufacturing license.

Inspection Outcome: If a facility is “In Place,” it means the infrastructure exists. But it says nothing about whether the infrastructure is functional or effective.

Stage 2: In Use (Operational Readiness)

Definition: Systems and procedures are actively implemented in routine operations as designed.

This is the output Validation. It answers the question: “Can the facility execute its processes reliably?”

Key Elements:

  • Equipment operates within qualified parameters during production
  • Personnel trained and demonstrate competency
  • Process consistently produces batches meeting specifications
  • Environmental monitoring executing according to contamination control strategy and generating data
  • Quality systems actively used (deviations documented, investigations completed, CAPA plans implemented)
  • Data integrity controls functioning (audit trails enabled, electronic records secure)
  • Work-as-Done matches Work-as-Imagined 

Assessment Methods:

  • Observation of operations
  • Review of batch records and deviations
  • Interviews with operators and otherstaff
  • Trending of process data (yields, cycle times, in-process controls)
  • Audit of training records and competency assessments
  • Inspection of actual manufacturing runs (not simulations)

Alignment with PreCheck: This is what Phase 2 (Application Submission) evaluates, particularly during the PAI/PLI (if one is conducted). The FDA inspector observes operations, reviews batch records, and verifies that the process described in the CMC section is actually being executed.

Alignment with EMA: This corresponds to the pre-approval GMP inspection requested by the CHMP if the facility has not been recently inspected.

Inspection Outcome: If a facility is “In Use,” it means the systems are functional. But it does not guarantee that the systems will remain functional over time or that the organization can detect and correct drift.

Stage 3: In Control (Sustained Performance)

Definition: Systems maintain validated state through continuous verification, trend analysis, and proactive improvement.

This is the output of Stage 3 Process Validation (Continued Process Verification). It answers the question: “Does the facility have the organizational discipline to sustain compliance?”

Key Elements:

  • Statistical process control (SPC) implemented to detect trends and shifts
  • Routine monitoring identifies drift before it becomes deviation
  • Root cause analysis is rigorous and identifies systemic issues, not just proximate causes
  • CAPA effectiveness is verified—corrective actions prevent recurrence
  • Process capability is quantified and improving (Cp, Cpk trending upward)
  • Annual Product Reviews drive process improvements
  • Knowledge management systems capture learnings from deviations, investigations, and inspections
  • Quality culture is embedded—staff at all levels understand their role in maintaining control
  • The organization actively seeks to falsify its own assumptions (the core principle of this blog)

Assessment Methods:

  • Trending of process capability indices over time
  • Review of Annual Product Reviews and management review meetings
  • Audit of CAPA effectiveness (do similar deviations recur?)
  • Statistical analysis of deviation rates and types
  • Assessment of organizational culture (e.g., FDA’s QMM assessment)
  • Evaluation of how the facility responds to “near-misses” and “weak signals”[blog]

Alignment with PreCheck: This is not explicitly evaluated in PreCheck as currently designed. PreCheck Phase 1 and Phase 2 focus on facility design and process execution, but do not assess long-term performance or organizational maturity.

However, the inclusion of Quality Management Maturity (QMM) practices in the Type V DMF is an attempt to evaluate this dimension. A facility with mature QMM practices is, in theory, more likely to remain “In Control” over time.

This also corresponds to routine re-inspections conducted every 1-3 years. The purpose of these inspections is not to re-validate the facility (which is already licensed), but to verify that the facility has maintained its validated state and has not accumulated unresolved compliance drift.

Inspection Outcome: If a facility is “In Control,” it means the organization has demonstrated sustained capability to manufacture products reliably. This is the goal of all GMP systems, but it is the hardest state to verify because it requires longitudinal data and cultural assessment, not just a snapshot inspection.

Mapping the Framework to Regulatory Timelines

The three-stage framework provides a logic for when and how to conduct regulatory inspections.

StageTimingEvaluation MethodFDA EquivalentEMA EquivalentFailure Mode
In PlaceBefore operations beginDesign review, document audit, installation verificationPreCheck Phase 1 (Facility Readiness)Initial GMP inspection for licenseFacility design flaws, inadequate documentation, unqualified equipment
In UseDuring early operationsProcess performance, batch record review, observation of operationsPreCheck Phase 2 / PAI/PLIPre-approval inspection (if needed)Process failures, operator errors, inadequate training, poor execution
In ControlOngoing (post-approval)Trend analysis, statistical monitoring, culture assessmentRoutine surveillance inspections, QMM assessmentRoutine re-inspections (1-3 years)Process drift, CAPA ineffectiveness, organizational complacency, systemic failures

The current PAI/PLI model collapses “In Place,” “In Use,” and “In Control” into a single inspection event conducted at the worst possible time (near PDUFA). This creates the illusion that a facility’s compliance status can be determined in 5-10 days.

PreCheck separates “In Place” (Phase 1) from “In Use” (Phase 2), which is a significant improvement. But it still does not address the hardest question: how do we know a facility will remain “In Control” over time?

The answer is: you don’t. Not from a one-time inspection. You need continuous verification.

This is the insight embedded in the FDA’s 2011 process validation guidance: validation is not an event, it is a lifecycle. The validated state must be maintained through Stage 3 Continued Process Verification.

The same logic applies to facilities. A facility is not “validated” by passing a single PAI. It is validated by demonstrating control over time.

PreCheck needs to be part of a wider model at the FDA:

  1. Allow facilities that complete Phase 1 to earn presumption of compliance for future product applications (reducing PAI frequency)
  2. Implement more robust routine surveillance inspections on a 1-3 year cycle to verify “In Control” status. The data shows how much the FDA is missing this target.
  3. Adjust inspection frequency dynamically based on the facility’s performance (low-risk facilities inspected less often, high-risk facilities more often)

This is the system the industry is asking for. It is the system the FDA could build on the foundation of PreCheck—if it commits to the long-term vision.

The Quality Experience Must Be Brought In at Design—And Most Companies Get This Wrong

PreCheck’s most important innovation is not its timeline or its documentation requirements. It is the implicit philosophical claim that facilities can be made better by involving quality experts at the design phase, not at the commissioning phase.

This is a radical departure from current practice. In most pharmaceutical manufacturing projects, the sequence is:

  1. Engineering designs the facility (architecture, HVAC, water systems, equipment layout)
  2. Procurement procures equipment based on engineering specs
  3. Construction builds the facility
  4. Commissioning and qualification begin (and quality suddenly becomes relevant)

Quality is brought in too late. By the time a quality professional reviews a facility design, the fundamental decisions—pipe routing, equipment locations, air handling unit sizing, cleanroom pressure differentials—have already been made. Suggestions to change the design are met with “we can’t change that now, we’ve already ordered the equipment” or “that’s going to add 3 months to the project and cost $500K.”

This is Quality-by-Testing (QbT): design first, test for compliance later, and hope the test passes.

PreCheck, by contrast, asks manufacturers to submit facility designs to the FDA during the design phase, while the designs are still malleable. The FDA can identify compliance gaps—inadequate environmental monitoring locations, cleanroom pressure challenges, segregation inadequacies, data integrity risks—before construction begins.

This is the beginning of Quality-by-Design (QbD) applied to facilities.

But for PreCheck to work—for Phase 1 to actually prevent facility disasters—manufacturers must embed quality expertise in the design process from the start. And most companies do not do this well.

The “Quality at the End” Trap

The root cause is organizational structure and financial incentives. In a typical pharmaceutical manufacturing project:

  • Engineering owns the timeline and the budget
  • Quality is invited to the party once the facility is built
  • Operations is waiting in the wings to take over once everything is “validated”

Each function optimizes locally:

  • Engineering optimizes for cost and schedule (build it fast, build it cheap)
  • Quality optimizes for compliance (every SOP written, every deviation documented)
  • Operations optimizes for throughput (run as many batches as possible per week)

Nobody optimizes for “Will this facility sustainably produce quality products?”—which is a different optimization problem entirely.

Bringing a quality professional into the design phase requires:

  • Allocating budget for quality consultation during design (not just during qualification)
  • Slowing the design phase to allow time for risk assessments and tradeoff discussions
  • Empowering quality to say “no” to designs that meet engineering requirements but fail quality risk management
  • Building quality leadership into the project from the kickoff, not adding it in Phase 3

Most companies treat this as optional. It is not optional if you want PreCheck to work.

Why Most Companies Fail to Do This Well

Despite the theoretical importance of bringing quality into design, most pharmaceutical companies still treat design-phase quality as a non-essential activity. Several reasons explain this:

1. Quality Does Not Own a Budget Line

In a manufacturing project, the Engineering team has a budget (equipment, construction, contingency). Operations has a budget (staffing, training). Quality typically has no budget allocation for the design phase. Quality professionals are asked to contribute their “expertise” without resources, timeline allocation, or accountability.

The result: quality advice is given in meetings but not acted upon, because there are no resources to implement it.

2. Quality Experience Is Scarce

The pharmaceutical industry has a shortage of quality professionals with deep experience in facility design, contamination control, data integrity architecture, and process validation. Many quality people come from a compliance background (inspections, audits, documentation) rather than a design background (risk management, engineering, systems thinking).

When a designer asks, “What should we do about data integrity?” the compliance-oriented quality person says, “We’ll need SOPs and training programs.” But the design-oriented quality person says, “We need to architect the IT infrastructure such that changes are logged and cannot be backdated. Here’s what that requires…”

The former approach adds cost and schedule. The latter approach prevents problems.

3. The Design Phase Is Urgent

Pharmaceutical companies operate under intense pressure to bring new facilities online as quickly as possible. The design phase is compressed—schedules are aggressive, meetings are packed, decisions are made rapidly.

Adding quality review to the design phase is perceived as slowing the project down. A quality person who carefully works through a contamination control strategy (“Wait, have we tested whether the airflow assumption holds at scale? Do we understand the failure modes?”) is seen as a bottleneck.

The company that brings in quality expertise early pays a perceived cost (delay, complexity) and receives a delayed benefit (better operations, fewer deviations, smoother inspections). In a pressure-cooker environment, the delayed benefit is not valued.

4. Quality Experience Is Not Integrated Across the Organization

In a some pharmaceutical company, quality expertise is fragmented:

  • Quality Assurance handles deviations and investigations
  • Quality Control runs the labs
  • Regulatory Affairs manages submissions
  • Process Validation leads qualification projects

None of these groups are responsible for facility design quality. So it falls to no one, and it ends up being everyone’s secondary responsibility—which means it is no one’s primary responsibility.

A company with an integrated quality culture would have a quality leader who is accountable for the design, and who has authority to delay the project if critical risks are not addressed. Most companies do not have this structure.

What PreCheck Requires: The Quality Experience in Design

For PreCheck to deliver its promised benefits, companies participating in Phase 1 must make a commitment that quality expertise is embedded throughout design.

Specifically:

1. Quality leadership is assigned early – Someone in quality (not engineering, not operations) is accountable for quality risk management in the facility design from Day 1.

2. Quality has authority to influence design – The quality leader can say “no” to designs that create unacceptable quality risks, even if the design meets engineering specifications.

3. Quality risk management is performed systematically – Not just “quality review of designs,” but structured risk management identifying critical quality risks and mitigation strategies.

4. Design Qualification includes quality experts – DQ is not just engineering verification that design meets specs; it includes quality verification that design enables quality control.

5. Contamination control is designed, not tested – Environmental monitoring strategies, microbial testing plans, and statistical approaches are designed into the facility, not bolted on during commissioning.

6. Data integrity is architected – IT systems are designed to prevent data manipulation, not as an afterthought.

7. The organization is aligned on what “quality” means – Not compliance (“checking boxes”), but the organizational discipline to sustain control and to detect and correct drift before it becomes a failure.

This is fundamentally a cultural commitment. It is about believing that quality is not something you add at the end; it is something you design in.

The FDA’s Unspoken Expectation in PreCheck Phase 1

When the FDA reviews a Type V DMF in PreCheck Phase 1, the agency is asking: “Did this manufacturer apply quality expertise to the design?”

How does the FDA assess this? By looking for:

  • Risk assessments that show systematic thinking, not checkbox compliance
  • Design decisions that are justified by quality risk management, not just engineering convenience
  • Contamination control strategies that are grounded in understanding the failure modes
  • Data integrity architectures that prevent (not just detect) problems
  • Quality systems that are designed to evolve and improve, not static and reactive

If the Type V DMF reads like it was prepared by an engineering firm that called quality for comments, the FDA will see it. If it reads like it was co-developed by quality and engineering with equal voice, the FDA will see that too.

PreCheck Phase 1 is not just a design review. It is a quality culture assessment.

And this is why most companies are not ready for PreCheck. Not because they lack the engineering capability to design a facility. But because they lack the quality experience, organizational structure, and cultural commitment to bring quality into the design process as a peer equal to engineering.

Companies that participate in PreCheck with a transactional mindset—”Let’s submit our designs to the FDA and get early feedback”—will get some benefit. They will catch some design issues early.

But companies that participate with a transformational mindset—”We are going to redesign how we approach facility development to embed quality from the start”—will get deeper benefits. They will build facilities that are easier to operate, that generate fewer deviations, that demonstrate sustained control over time, and that will likely pass future inspections without significant findings.

The choice is not forced on the company by PreCheck. PreCheck is voluntary; you can choose the transactional approach.

But if you want the regulatory trust that PreCheck is supposed to enable—if you want the FDA to accept your facility as “ready” with minimal re-inspection—you need to bring the quality experience in at design.

That is what Phase 1 actually measures.

The Epistemology of Trust

Regulatory inspections are not merely compliance checks. They are trust-building mechanisms.

When the FDA inspector walks into a facility, the question is not “Does this facility have an SOP for cleaning validation?” (It does. Almost every facility does.) The question is: “Can I trust that this facility will produce quality products consistently, even when I am not watching?”

Trust cannot be established in 5 days.

Trust is built through:

  • Repeated interactions over time
  • Demonstrated capability under varied conditions
  • Transparency when failures occur
  • Evidence of learning from those failures

The current PAI/PLI model attempts to establish trust through a single high-stakes audit. This is like trying to assess a person’s character by observing them for one hour during a job interview. It is better than nothing, but it is not sufficient.

PreCheck is a step toward a trust-building system. By engaging early (Phase 1) and providing continuity into the application review (Phase 2), the FDA can develop a relationship with the manufacturer rather than a one-off transaction.

But PreCheck as currently proposed is still transactional. It is a program for new facilities. It does not create a facility lifecycle framework. It does not provide a pathway for facilities to earn cumulative trust over multiple products.

The FDA could do this—if it commits to three principles:

1. Decouple facility inspections from product applications.

Facilities should be assessed independently and granted a facility certificate (or equivalent) that can be referenced by multiple products. This separates facility remediation from product approval timelines and prevents the cascade failures we see in the current system.

2. Recognize that “In Control” is not a state achieved once, but a discipline maintained continuously.

The FDA’s own process validation guidance says this explicitly: validation is a lifecycle, not an event. The same logic must apply to facilities. A facility is not “GMP compliant” because it passed one inspection. It is GMP compliant because it has demonstrated, over time, the organizational discipline to detect and correct failures before they reach patients.

PreCheck could be the foundation for this system. But only if the FDA is willing to embrace the full implication of what it has started: that regulatory trust is earned through sustained performance, and that the agency’s job is not to catch failures through surprise inspections, but to partner with manufacturers in building systems that are designed to reveal their own weaknesses.

This is the principle of falsifiable quality applied to regulatory oversight. A quality system that cannot be proven wrong is a quality system that cannot be trusted. A facility that fears inspection is a facility that has not internalized the discipline of continuous verification.

The facilities that succeed under PreCheck—and under any future evolution of this system—will be those that understand that “In Place, In Use, In Control” is not a checklist to complete, but a philosophy to embody.

Sources

Preliminary Thoughts on George Tidmarsh

I have a few concerns about George Tidmarsh’s recent appointment as director of the FDA’s Center for Drug Evaluation and Research (CDER) which fits into wider concerns about the current administration. As usual in this adminstration, this boils down to a tendency to fringe medicine and vaccine denial adjacent thinking.

  • Association with “fringe” medical publishing: Tidmarsh contributed to the Journal of the Academy of Public Health, which Bloomberg and other outlets have described as a “fringe medical journal” connected to a conservative nonprofit.
  • Criticism of COVID-19 public health policy: Tidmarsh has openly criticized the government’s handling of the COVID-19 pandemic. On the “Derate the Hate” podcast, he lamented what he saw as political polarization and lack of “academic freedom” in pandemic-era policy discussions, and suggested openness to the theory of a lab origin for the coronavirus.

I also find a degree of irony in Tidmarsh’s leadership roles in several biotech and pharmaceutical companies—including as founder and CEO of Horizon Therapeutics and Threshold Pharmaceuticals. RFKJr, and others have spent a lot of time criticizing the revolving door between industry and government regulation. And here we have a great example of that revolving door.

In any other administration, Tidmarsh would be concerning due to his connections to fringe science. In this administration he is another worrisome personnel decision given authority.

Heh Marty, Guess the Trains are Not Running On Time

So much for the trains running on time at the FDA, as the agency notifies Kalvista that it will be unable to issue a decision on their therapy by the PDUFA date by June 17 because of a “heavy workload and limited resources.” The regulator expects to deliver a verdict within about four weeks, Kalvista said.  https://www.businesswire.com/news/home/20250613608281/en/KalVista-Pharmaceuticals-Announces-FDA-Will-Not-Meet-PDUFA-Goal-Date-for-Sebetralstat-NDA-for-Hereditary-Angioedema-Due-to-FDA-Resource-Constraints

Four weeks may not seem a lot to outsides (though every day of delay counts when you are talking launch plans) but I am thinking this is not the last, or the greatest, of delays ahead.

FDA Under Fire: The Troubling Impacts of Trump’s First 100 Days

The first 100 days of President Trump’s second term have been nothing short of seismic for the Food and Drug Administration (FDA). Sweeping layoffs, high-profile firings, and a mass exodus of experienced staff have left the agency reeling, raising urgent questions about the safety of drugs, devices, and food in the United States.

Unprecedented Layoffs and Firings

Mass Layoffs and Restructuring

On April 1, 2025, the Department of Health and Human Services (HHS) executed a reduction in force that eliminated 3,500 FDA employees. This was part of a larger federal downsizing that saw at least 121,000 federal workers dismissed across 30 agencies in Trump’s first 100 days, with health agencies like the FDA, CDC, and NIH particularly hard hit. Security guards barred entry to some FDA staff just hours after they received termination notices, underscoring the abruptness and scale of the cuts.

The layoffs were not limited to support staff. Policy experts, project managers, regulatory scientists, and communications professionals were let go, gutting the agency’s capacity to write guidance documents, manage application reviews, test product safety, and communicate risks to the public. Even before the April layoffs, industry had noticed a sharp decline in FDA responsiveness to routine and nonessential queries-a problem now set to worsen.

High-Profile Departures and Forced Resignations

The leadership vacuum is equally alarming. Key figures forced out or resigning under pressure include:

  • Dr. Peter Marks, CBER Director and the nation’s top vaccine official, dismissed after opposing the administration’s vaccine safety stance.
  • Dr. Robert Temple, a 52-year FDA veteran and regulatory pioneer, retired amidst the turmoil.
  • Dr. Namandjé N. Bumpus, Deputy Commissioner; Dr. Doug Throckmorton, Deputy Director for regulatory programs; Celia Witten, CBER Deputy Director; Peter Stein, Director of the Office of Drugs; and Brian King, head of the Center for Tobacco Products, all departed-some resigning when faced with termination.
  • Communications, compliance, and policy offices were decimated, with all FDA communications now centralized under HHS, ending decades of agency independence.

The new FDA Commissioner, Martin “Marty” Makary, inherits an agency stripped of much of its institutional memory and scientific expertise. Add to this very real questions about about Makary’s capabilities and approach:

1. Lack of FDA Institutional Memory and Support: Makary steps into the role just as the FDA’s deep bench of experienced scientists, regulators, and administrators has been depleted. The departure of key leaders and thousands of staff means Makary cannot rely on the usual institutional memory or internal expertise that historically guided complex regulatory decisions. The agency’s diminished capacity raises concerns about whether Makary can maintain the rigorous review standards and enforcement practices needed to protect public health.

2. Unconventional Background and Public Persona: While Makary is an accomplished surgeon and health policy researcher, his career has been marked by a willingness to challenge medical orthodoxy and criticize federal health agencies, including the FDA itself. His public rhetoric-often sharply critical and sometimes inflammatory-contrasts with the FDA’s traditionally cautious, evidence-based communication style. For example, Makary has accused government agencies of “lying” about COVID-19 boosters and has called the U.S. food supply “poison,” positions that have worried many in the scientific and public health communities.

3. Alignment with Political Leadership and Potential Conflicts: Makary’s views align closely with those of HHS Secretary Robert F. Kennedy Jr., particularly in their skepticism of certain mainstream public health measures and their focus on food additives, pesticides, and environmental contributors to chronic disease. This alignment raises questions about the degree to which Makary will prioritize political directives over established scientific consensus, especially in controversial areas like vaccine policy, food safety, and chemical regulation.

4. Contrarianism and a Tendency Towards Conspiracy: Makary’s recent writings, such as his book Blind Spots, emphasize his distrust of medical consensus and advocacy for challenging “groupthink” in health policy. Critics worry this may lead to the dismissal of well-established scientific standards in favor of less-tested or more ideologically driven policies. As Harvard’s Dr. Aaron Kesselheim notes, Makary will need to make decisions based on evolving evidence, even if that means occasionally being wrong-a process that requires humility and openness to expert input, both of which could be hampered by the loss of institutional expertise.

5. Immediate Regulatory and Ethical Challenges: Makary inherits unresolved, high-stakes regulatory issues, such as the controversy over compounded GLP-1 drugs and the agency’s approach to ultra-processed foods and food additives. His prior involvement with telehealth companies and outspoken positions on food chemicals could present conflicts of interest or at least the appearance of bias, further complicating his ability to act as an impartial regulator.

Impact on Patient Health and Safety

Reduced Oversight and Enforcement

The loss of thousands of staff-including scientists and specialists-means fewer eyes on the safety of drugs, devices, and food. Despite HHS assurances that product reviewers and inspectors were spared, the reality is that critical support staff who enable and assist reviews and inspections were let go. This has already resulted in:

  • Delays and unpredictability in drug and device approvals, as fewer project managers are available to coordinate and communicate with industry.
  • A likely reduction in inspections, as administrative staff who book travel and provide translation for inspectors are gone, forcing inspectors to take on additional tasks and leading to bottlenecks.
  • The pausing of FDA’s unannounced foreign inspection pilot program, raising the risk of substandard or adulterated imported products entering the U.S. market.

Diminished Public Communication

With the elimination of FDA’s communications staff and the centralization of messaging under HHS, the agency’s ability to quickly inform the public about recalls, safety alerts, and emerging health threats is severely compromised. This loss of transparency and direct communication could delay critical warnings about unsafe products or outbreaks.

Loss of Scientific Capacity

The departure of regulatory scientists and the decimation of the National Center for Toxicological Research threaten the FDA’s ability to conduct the regulatory science that underpins product safety and efficacy standards. As former Commissioner Robert Califf warned, “The FDA as we’ve known it is over, with most leaders who possess knowledge and deep understanding product development safety no longer in their positions… I believe that history will regard this as a grave error”.

Impact on Clinical Studies

Oversight and Ethical Safeguards Eroded

FDA oversight of clinical trials has plummeted. During Trump’s previous term, the agency sent far fewer warning letters for clinical trial violations than under Obama (just 12 in Trump’s first three years, compared to 99 in Obama’s first three), a trend likely to worsen with the latest staff cuts. The loss of experienced reviewers and compliance staff means less scrutiny of trial protocols, informed consent, and data integrity, potentially exposing participants to greater risk and undermining the credibility of U.S. clinical research.

Delays and Uncertainty for Sponsors

With fewer staff to provide guidance, answer questions, and manage applications, sponsors of clinical trials and new product applications face longer wait times and less predictable review timelines. The loss of informal dispute resolution mechanisms and scientific advisory capacity further complicates the regulatory landscape, making the U.S. a less attractive environment for innovation.

Impact on Good Manufacturing Practices (GMPs)

Inspections and Compliance at Risk

While HHS claims inspectors were not cut, the loss of support staff and administrative personnel is already affecting the FDA’s inspection regime. Inspectors now must handle both investigative and administrative tasks, increasing the risk of missed deficiencies and delayed responses to manufacturing problems. The FDA may increasingly rely on remote, paper-based inspections, which proved less effective during the COVID-19 pandemic and could allow GMP violations to go undetected.

Global Supply Chain Vulnerabilities

The rollback of foreign inspection programs and diminished regulatory science capacity further expose the U.S. to risks from overseas manufacturers, particularly in countries with less robust regulatory oversight. This could lead to more recalls, shortages, and public health emergencies.

A Historic Setback for Public Health

The Trump administration’s first 100 days have left the FDA a shell of its former self. The mass layoffs, firings, and resignations have gutted the agency’s scientific, regulatory, and communications capacity, with immediate and long-term consequences for patient safety, clinical research, and the integrity of the U.S. medical supply. The loss of institutional knowledge, the erosion of oversight, and the retreat from global leadership represent a profound setback for public health-one that will take years, if not decades, to repair.

As former FDA Commissioner Califf put it, “No segment of FDA is untouched. No one knows what the plan is”. The nation-and the world-are watching to see if the agency can recover from this unprecedented upheaval.

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