Organizational competencies are the skills, abilities, and knowledge that allow an organization to be successful in achieving its goals. They form the foundation of an organization’s culture, values, and strategy.
Organizational competencies can be broadly divided into two main categories:
Technical Competencies
Non-Technical Competencies (also called General Competencies)
Technical Competencies
Technical competencies are specific skills and knowledge required to perform particular jobs or functions within an organization. They are directly related to the core business activities and technical aspects of the work. For technical competencies:
They cover various fields of expertise relevant to the specific work carried out in the organization
They are at the heart of what the organizational employees do
They allow an organization to produce products or services efficiently and effectively
They often require ongoing training and reinforcement to stay current
Non-Technical Competencies
Non-technical competencies, also known as general competencies or soft skills, are broader skills and attributes that are important across various roles and functions. They include:
These competencies are crucial for effective interaction, collaboration, and overall organizational success.
Organizational Competencies for Validation (an example)
For an organization focusing on validation the following competencies would be particularly relevant:
Technical Competencies
Skill Area
Key Aspects
Proficiency Levels
Beginner
Intermediate
Advanced
Expert
General CQV Principles
Modern process validation and
guidance
Validation design and how to
reduce variability
Able
to review a basic protocol
Able
to review/approve Validation document deliverables.
Understands
the importance of a well-defined URS.
Able to be QEV lead in a small
project
Able to answer questions and
guide others in QEV
Participates in process
improvement
Able to review and approve
RTM/SRs
Able
to be QEV lead in a large project project
Trains
and mentors others in QEV
Leads
process improvement initiatives
Able
to provide Quality oversight on the creation of Validation Plans for complex
systems and/or projects
Sets
overall CQV strategy
Recognized
as an expert outside of JEB
Facilities
and Utilities
Oversee Facilities, HVAC and
Controlled Environments
Pharma Water and WFI
Pure Steam, Compressed Air,
Medical Gases
Understands
the principles and GMP requirements
Applies the principles,
activities, and deliverables that constitute an efficient and acceptable
approach to demonstrating facility fitness-for-use/qualification
Guide
the Design to Qualification Process for new facilities/utilities or the
expansion of existing facilities/utilities
Able
to establish best practices
Systems
and Equipment
Equipment, including Lab
equipment
Understands
the principles and GMP requirements
Principles, activities, and
deliverables that constitute an efficient and acceptable approach to
demonstrating equipment fitness-for-use/qualification
Able
to provide overall strategy for large projects
Able
to be QEV lead on complex systems and equipment.
Able
to establish best practices
Computer
Systems and Data Integrity
Computer lifecycle, including
validation
Understands
the principles and GMP requirements
Able to review CSV documents
Apply GAMP5 risk
based approach
Day-to-day quality oversight
Able
to provide overall strategy for a risk based GAMP5 approach to computer
system quality
Able
to establish best practices
Asset Lifecycle
Quality
oversight and decision making in the lifecycle asset lifecycle: Plan,
acquire, use, maintain, and dispose of assets
Can
use CMMS to look up Calibrations, Cal schedules and PM schedules
Quality
oversight of asset lifecycle decisions
Able
to provide oversight on Cal/PM frequency
Able
to assess impact to validated state for corrective WO’s.
Able
to establish asset lifecycle for new equipment classes
Establish
risk-based PM for new asset classes
verification
Establish
asset lifecycle approach
Serves
as the organization’s authority on GMP requirements related to asset
management in biotech facilities
Cleaning, Sanitization and Sterilization Validation
Evaluate
and execute cleaning practices, limit calculations, scientific rationales,
and validation documents
Manage
the challenges of multi-product facilities in the establishment of limits,
determination of validation strategies, and maintaining the validated state
Differentiate
the requirements for cleaning and sterilization validation when using manual,
semi-automatic, and automatic cleaning technologies
Review
protocols
Identify
and characterize potential residues including product, processing aids,
cleaning agents, and adventitious agents
Understand
Sterilization principles and requirements
Create,
review and approve scientifically sound rationales, validation protocols, and
reports
Manage
and remediate the pitfalls inherent in cleaning after the production of
biopharmaceutical and pharmaceutical products
Define
cleaning/sterilization validation strategy
Implements
a lifecycle approach to validation, ensuring continued process verification
Implements
a lifecycle approach to validation, ensuring continued process verification
Quality Risk Management
Apply
QRM principles according to Q9
Understands
basic risk assessment principles
Can
identify potential hazards and risks
Familiar
with risk matrices and scoring methods
Participate
in a risk assessment
Conducts
thorough risk assessments using established methodologies
Analyzes
risks quantitatively and qualitatively
Prioritizes
risks based on likelihood and impact
Determine
appropriate tools
Establish
risk-based decision-making tools
Leads
complex risk assessments across multiple areas
Develops
new risk assessment methodologies
Provides
expert guidance on risk analysis techniques
Serves
as the organization’s authority on regulatory requirements and expectations
related to quality risk management
Builds
a proactive risk culture across the organization, fostering risk awareness at
all levels
Process Validation
Demonstrating
that the manufacturing process can consistently produce a product that meets
predetermined specifications and quality attributes.
Understanding
of GMP principles and regulatory requirements
Basic
understanding of GMP principles and regulatory requirements
Can
independently write, approve and execute validation protocols for routine
processes
Ability to develop validation master plans
and protocols
Understanding
of critical process parameters (CPPs) and critical quality attributes (CQAs)
Expertise
in designing and implementing complex validation strategies
Ability
to troubleshoot and resolve validation issues
Deep
understanding of regulatory expectations and industry best practices
Leads
cross-functional validation teams for high-impact projects
Develops
innovative validation approaches for novel bioprocesses
Serves
as an organizational authority on validation matters and regulatory
interactions
Reflective learning is a powerful tool that organizations can leverage to build competency and drive continuous improvement. At its core, this approach involves actively analyzing and evaluating experiences and learning processes to enhance understanding and performance across all levels of the organization.
The process of reflective learning begins with individuals and teams taking the time to step back and critically examine their actions, decisions, and outcomes. This introspection allows them to identify what worked well, what didn’t, and why. By doing so, they can uncover valuable insights that might otherwise go unnoticed in the day-to-day rush of business activities.
One of the key benefits of reflective learning is its ability to transform tacit knowledge into explicit knowledge. Tacit knowledge is the unspoken, intuitive understanding that individuals develop through experience. By reflecting on and articulating these insights, organizations can capture and share this valuable wisdom, making it accessible to others and fostering a culture of collective learning.
To implement reflective learning effectively, organizations should create structured opportunities for reflection. This might include regular debriefing sessions after projects, dedicated time for personal reflection, or the use of learning journals. Additionally, leaders should model reflective practices and encourage open and honest discussions about both successes and failures.
It’s important to note that reflective learning is not just about looking back; it’s also about looking forward. The insights gained through reflection should be used to inform future actions and strategies. This forward-thinking approach helps organizations to be more adaptable and responsive to changing circumstances, ultimately leading to improved performance and innovation.
By embracing reflective learning as a core organizational practice, companies can create a dynamic environment where continuous learning and improvement become ingrained in the culture. This not only enhances individual and team performance but also contributes to the overall resilience and competitiveness of the organization in an ever-changing business landscape.
Implement Regular After-Action Reviews
After-action reviews (AARs) or Lessons Learned are critical to provide a structured way for teams to reflect on projects, initiatives, or events. To implement effective AARs:
Schedule them immediately after key milestones or project completions
Focus on what was planned, what actually happened, why there were differences, and what can be learned
Encourage open and honest discussion without blame
Document key insights and action items
Create a Supportive Environment for Reflection
Foster a culture that values and encourages reflection:
Provide dedicated time and space for individual and group reflection
Model reflective practices at the leadership level
Recognize and reward insights gained through reflection
By systematically implementing these practices, organizations can build a strong competency in reflective learning, leading to improved decision-making, innovation, and overall performance. Utilizing a model always helps.
Kolb’s Reflective Model
Kolb’s reflective model, also known as Kolb’s experiential learning cycle, is a widely used framework for understanding how people learn from experience. The model consists of four stages that form a continuous cycle of learning:
The Four Stages of Kolb’s Reflective Model
Concrete Experience: This is the stage where the learner actively experiences an activity or situation. It involves direct, hands-on involvement in a new experience or a reinterpretation of an existing experience.
Reflective Observation: In this stage, the learner reflects on and reviews the experience. They think about what happened, considering their feelings and the links to their existing knowledge and skills.
Abstract Conceptualization: Here, the learner forms new ideas or modifies existing abstract concepts based on their reflections. This stage involves analyzing the experience and drawing conclusions about what was learned.
Active Experimentation: In the final stage, the learner applies their new knowledge and tests it in new situations. This involves planning how to put the new learning into practice and experimenting with new approaches.
Create Opportunities for Concrete Experiences: Provide employees with hands-on learning experiences, such as job rotations, simulations, or real-world projects.
Encourage Reflection: Set up regular reflection sessions or debriefings after significant experiences. Encourage employees to keep learning journals or participate in group discussions to share their observations.
Facilitate Conceptualization: Provide resources and support for employees to analyze their experiences and form new concepts. This could involve training sessions, mentoring programs, or access to relevant literature and research.
Support Active Experimentation: Create a safe environment for employees to apply their new knowledge and skills. Encourage innovation and provide opportunities for employees to test new ideas in their work.
Integrate the Model into Learning Programs: Design training and development programs that incorporate all four stages of Kolb’s cycle, ensuring a comprehensive learning experience.
Personalize Learning: Recognize that individuals may have preferences for different stages of the cycle. Offer diverse learning opportunities to cater to various learning styles.
Measure and Iterate: Regularly assess the effectiveness of knowledge management initiatives based on Kolb’s model. Use feedback and results to continuously improve the learning process.
By incorporating Kolb’s reflective model into knowledge management practices, we can create a more holistic and effective approach to learning and development. This can lead to improved knowledge retention, better application of learning to real-world situations, and a more adaptable and skilled workforce.
– Expands on Kolb’s work – Recognizes various responses to potential learning situations
Backward Design
Grant Wiggins, Jay McTighe
1. Identify desired results 2. Determine acceptable evidence 3. Plan learning experiences and instruction
– Starts with learning outcomes – Focuses on designing effective learning experiences
Applying the Experiential Learning Model to Validation Competencies
To apply Kolb’s experiential learning model to building an organization’s competency for validation, we can structure the process as follows:
Concrete Experience
Have employees participate in actual validation activities or simulations
Provide hands-on training sessions on validation techniques and tools
Assign validation tasks to teams in real projects
Reflective Observation
Conduct debriefing sessions after validation activities
Encourage employees to keep validation journals or logs
Facilitate group discussions to share experiences and observations
Review validation results and outcomes as a team
Abstract Conceptualization
Offer formal training on validation principles, methodologies, and best practices
Encourage employees to develop validation frameworks or models based on their experiences
Analyze validation case studies from other organizations or industries
Create validation guidelines and standard operating procedures
Active Experimentation
Implement new validation approaches in upcoming projects
Encourage employees to propose and test innovative validation methods
Set up pilot programs to trial new validation tools or techniques
Assign employees to different types of validation projects to broaden their skills
To make this process continuous and effective:
Create a validation competency framework with clear learning objectives and skill levels
Develop a mentoring program where experienced team members guide less experienced colleagues
Establish regular knowledge-sharing sessions focused on validation topics
Implement a system for capturing and disseminating lessons learned from validation activities
Use technology platforms to support collaborative learning and information sharing about validation
Regularly assess and update the organization’s validation processes based on learning outcomes
Encourage cross-functional teams to work on validation projects to broaden perspectives
Partner with external experts or organizations to bring in fresh insights and best practices
Recognize and reward employees who demonstrate growth in validation competencies
Integrate validation competency development into performance reviews and career progression paths
By systematically applying Kolb’s model, we can create a robust learning environment that continuously improves our validation capabilities. This approach ensures that employees not only gain theoretical knowledge but also practical experience, leading to a more competent and adaptable workforce.
When undertaking a project to enhance your validation program, it’s crucial to have a robust method for measuring success. This is especially important as you aim to increase maturity and address organizational challenges, with a significant focus on training and personnel qualification. The Kirkpatrick model, originally designed for evaluating training programs, can be effectively adapted to assess the success of your validation program improvements.
Level 1: Reaction
This level measures how participants react to the validation program.
Survey validation team members on their satisfaction with the validation approach
Gather feedback on the clarity of risk-based validation concepts
Assess perceived relevance and applicability of the new validation methodology
Level 2: Learning
This level evaluates the knowledge and skills acquired.
Conduct assessments to measure understanding of key principles
Test ability to perform risk assessments and develop verification strategies
Evaluate comprehension of good engineering practices (GEP) and their integration into validation activities
Level 3: Behavior
This level examines how participants apply what they’ve learned on the job.
Observe validation team members implementing risk-based approaches in actual projects
Review documentation to ensure proper application of methodologies and assess the quality of user requirements, risk assessments, and verification plans. This is where I would use a rubric.
Create some key behavior indicators, such as right-the-first time.
I use IMPACT as a tool here.
And then come up with a set of leading and lagging quality and behavioral indicators.
Leading
Measure and report attendance at risk assessments and project team meetings
Number of employee/team improvement suggestions implemented
This level measures the impact on the organization.
Track reduction in validation cycle times and associated costs
Monitor improvements in product quality and reduction in deviations
Assess regulatory inspection outcomes and feedback on validation approach
Evaluate overall efficiency gains in the validation process
By applying the Kirkpatrick Model to a validation program improvements we can systematically evaluate the effectiveness of their implementation and identify areas for continuous improvement.
The more I think about it, the more I am thinking I would want to organize a collaborative learning event around Validation like the one I spelled out in the article “A Collaborative Learning Event I Might Run” in June.
Maturity models offer significant benefits to organizations by providing a structured framework for benchmarking and assessment. Organizations can clearly understand their strengths and weaknesses by evaluating their current performance and maturity level in specific areas or processes. This assessment helps identify areas for improvement and sets a baseline for measuring progress over time. Benchmarking against industry standards or best practices also allows organizations to see how they compare to their peers, fostering a competitive edge.
One of the primary advantages of maturity models is their role in fostering a culture of continuous improvement. They provide a roadmap for growth and development, encouraging organizations to strive for higher maturity levels. This continuous improvement mindset helps organizations stay agile and adaptable in a rapidly changing business environment. By setting clear goals and milestones, maturity models guide organizations in systematically addressing deficiencies and enhancing their capabilities.
Standardization and consistency are also key benefits of maturity models. They help establish standardized practices across teams and departments, ensuring that processes are executed with the same level of quality and precision. This standardization reduces variability and errors, leading to more reliable and predictable outcomes. Maturity models create a common language and framework for communication, fostering collaboration and alignment toward shared organizational goals.
The use of maturity models significantly enhances efficiency and effectiveness. Organizations can increase productivity and use their resources by identifying areas for streamlining operations and optimizing workflows. This leads to reduced errors, minimized rework, and improved process efficiency. The focus on continuous improvement also means that organizations are constantly seeking ways to refine and enhance their operations, leading to sustained gains in efficiency.
Maturity models play a crucial role in risk reduction and compliance. They assist organizations in identifying potential risks and implementing measures to mitigate them, ensuring compliance with relevant regulations and standards. This proactive approach to risk management helps organizations avoid costly penalties and reputational damage. Moreover, maturity models improve strategic planning and decision-making by providing a data-backed foundation for setting priorities and making informed choices.
Finally, maturity models improve communication and transparency within organizations. Providing a common communication framework increases transparency and builds trust among employees. This improved communication fosters a sense of shared purpose and collaboration, essential for achieving organizational goals. Overall, maturity models serve as valuable tools for driving continuous improvement, enhancing efficiency, and fostering a culture of excellence within organizations.
Business Process Maturity Model (BPMM)
A structured framework used to assess and improve the maturity of an organization’s business processes, it provides a systematic methodology to evaluate the effectiveness, efficiency, and adaptability of processes within an organization, guiding continuous improvement efforts.
Key Characteristics of BPMM
Assessment and Classification: BPMM helps organizations understand their current process maturity level and identify areas for improvement. It classifies processes into different maturity levels, each representing a progressive improvement in process management.
Guiding Principles: The model emphasizes a process-centric approach focusing on continuous improvement. Key principles include aligning improvements with business goals, standardization, measurement, stakeholder involvement, documentation, training, technology enablement, and governance.
Incremental Levels
BPMM typically consists of five levels, each building on the previous one:
Initial: Processes are ad hoc and chaotic, with little control or consistency.
Managed: Basic processes are established and documented, but results may vary.
Standardized: Processes are well-documented, standardized, and consistently executed across the organization.
Predictable: Processes are quantitatively measured and controlled, with data-driven decision-making.
Optimizing: Continuous process improvement is ingrained in the organization’s culture, focusing on innovation and optimization.
Benefits of BPMM
Improved Process Efficiency: By standardizing and optimizing processes, organizations can achieve higher efficiency and consistency, leading to better resource utilization and reduced errors.
Enhanced Customer Satisfaction: Mature processes lead to higher product and service quality, which improves customer satisfaction.
Better Change Management: Higher process maturity increases an organization’s ability to navigate change and realize project benefits.
Readiness for Technology Deployment: BPMM helps ensure organizational readiness for new technology implementations, reducing the risk of failure.
Usage and Implementation
Assessment: Organizations can conduct BPMM assessments internally or with the help of external appraisers. These assessments involve reviewing process documentation, interviewing employees, and analyzing process outputs to determine maturity levels.
Roadmap for Improvement: Organizations can develop a roadmap for progressing to higher maturity levels based on the assessment results. This roadmap includes specific actions to address identified deficiencies and improve process capabilities.
Continuous monitoring and regular evaluations are crucial to ensure that processes remain effective and improvements are sustained over time.
A BPMM Example: Validation Program based on ASTM E2500
To apply the Business Process Maturity Model (BPMM) to a validation program aligned with ASTM E2500, we need to evaluate the program’s maturity across the five levels of BPMM while incorporating the key principles of ASTM E2500. Here’s how this application might look:
Level 1: Initial
At this level, the validation program is ad hoc and lacks standardization:
Validation activities are performed inconsistently across different projects or departments.
There’s limited understanding of ASTM E2500 principles.
Risk assessment and scientific rationale for validation activities are not systematically applied.
Documentation is inconsistent and often incomplete.
Level 2: Managed
The validation program shows some structure but lacks organization-wide consistency:
Basic validation processes are established but may not fully align with ASTM E2500 guidelines.
Some risk assessment tools are used, but not consistently across all projects.
Subject Matter Experts (SMEs) are involved, but their roles are unclear.
There’s increased awareness of the need for scientific justification in validation activities.
Level 3: Standardized
The validation program is well-defined and consistently implemented:
Validation processes are standardized across the organization and align with ASTM E2500 principles.
Risk-based approaches are consistently used to determine the scope and extent of validation activities.
SMEs are systematically involved in the design review and verification processes.
The concept of “verification” replaces traditional IQ/OQ/PQ, focusing on critical aspects that impact product quality and patient safety.
Quality risk management tools (e.g., impact assessments, risk management) are routinely used to identify critical quality attributes and process parameters.
Level 4: Predictable
The validation program is quantitatively managed and controlled:
Key Performance Indicators (KPIs) for validation activities are established and regularly monitored.
Data-driven decision-making is used to continually improve the efficiency and effectiveness of validation processes.
Advanced risk management techniques are employed to predict and mitigate potential issues before they occur.
There’s a strong focus on leveraging supplier documentation and expertise to streamline validation efforts.
Engineering procedures for quality activities (e.g., vendor technical assessments and installation verification) are formalized and consistently applied.
Level 5: Optimizing
The validation program is characterized by continuous improvement and innovation:
There’s a culture of continuous improvement in validation processes, aligned with the latest industry best practices and regulatory expectations.
Innovation in validation approaches is encouraged, always maintaining alignment with ASTM E2500 principles.
The organization actively contributes to developing industry standards and best practices in validation.
Validation activities are seamless integrated with other quality management systems, supporting a holistic approach to product quality and patient safety.
Advanced technologies (e.g., artificial intelligence, machine learning) may be leveraged to enhance risk assessment and validation strategies.
Key Considerations for Implementation
Risk-Based Approach: At higher maturity levels, the validation program should fully embrace the risk-based approach advocated by ASTM E2500, focusing efforts on aspects critical to product quality and patient safety.
Scientific Rationale: As maturity increases, there should be a stronger emphasis on scientific understanding and justification for validation activities, moving away from a checklist-based approach.
SME Involvement: Higher maturity levels should see increased and earlier involvement of SMEs in the validation process, from equipment selection to verification.
Supplier Integration: More mature programs will leverage supplier expertise and documentation effectively, reducing redundant testing and improving efficiency.
Continuous Improvement: At the highest maturity level, the validation program should have mechanisms in place for continuous evaluation and improvement of processes, always aligned with ASTM E2500 principles and the latest regulatory expectations.
Process and Enterprise Maturity Model (PEMM),
The Process and Enterprise Maturity Model (PEMM), developed by Dr. Michael Hammer, is a comprehensive framework designed to help organizations assess and improve their process maturity. It is a corporate roadmap and benchmarking tool for companies aiming to become process-centric enterprises.
Key Components of PEMM
PEMM is structured around two main dimensions: Process Enablers and Organizational Capabilities. Each dimension is evaluated on a scale to determine the maturity level.
Process Enablers
These elements directly impact the performance and effectiveness of individual processes. They include:
Design: The structure and documentation of the process.
Performers: The individuals or teams executing the process.
Owner: The person responsible for the process.
Infrastructure: The tools, systems, and resources supporting the process.
Metrics: The measurements used to evaluate process performance.
Organizational Capabilities
These capabilities create an environment that supports and sustains high-performance processes. They include:
Leadership: The commitment and support from top management.
Culture: The organizational values and behaviors that promote process excellence.
Expertise: The skills and knowledge required to manage and improve processes.
Governance: The mechanisms to oversee and guide process management activities.
Maturity Levels
Both Process Enablers and Organizational Capabilities are assessed on a scale from P0 to P4 (for processes) and E0 to E4 (for enterprise capabilities):
P0/E0: Non-existent or ad hoc processes and capabilities.
P1/E1: Basic, but inconsistent and poorly documented.
P2/E2: Defined and documented, but not fully integrated.
P3/E3: Managed and measured, with consistent performance.
P4/E4: Optimized and continuously improved.
Benefits of PEMM
Self-Assessment: PEMM is designed to be simple enough for organizations to conduct their own assessments without needing external consultants.
Empirical Evidence: It encourages the collection of data to support process improvements rather than relying on intuition.
Engagement: Involves all levels of the organization in the process journey, turning employees into advocates for change.
Roadmap for Improvement: Provides a clear path for organizations to follow in their process improvement efforts.
Application of PEMM
PEMM can be applied to any type of process within an organization, whether customer-facing or internal, core or support, transactional or knowledge-intensive. It helps organizations:
Assess Current Maturity: Identify the current state of process and enterprise capabilities.
Benchmark: Compare against industry standards and best practices.
Identify Improvements: Pinpoint areas that need enhancement.
Track Progress: Monitor the implementation and effectiveness of process improvements.
A PEMM Example: Validation Program based on ASTM E2500
To apply the Process and Enterprise Maturity Model (PEMM) to an ASTM E2500 validation program, we can evaluate the program’s maturity across the five process enablers and four enterprise capabilities defined in PEMM. Here’s how this application might look:
Process Enablers
Design:
P-1: Basic ASTM E2500 approach implemented, but not consistently across all projects
P-2: ASTM E2500 principles applied consistently, with clear definition of requirements, specifications, and verification activities
P-3: Risk-based approach fully integrated into design process, with SME involvement from the start
P-4: Continuous improvement of ASTM E2500 implementation based on lessons learned and industry best practices
Performers:
P-1: Some staff trained on ASTM E2500 principles
P-2: All relevant staff trained and understand their roles in the ASTM E2500 process
P-3: Staff proactively apply risk-based thinking and scientific rationale in validation activities
P-4: Staff contribute to improving the ASTM E2500 process and mentor others
E-3: Leadership drives cultural change to fully embrace risk-based validation approach
E-4: Leadership promotes ASTM E2500 principles beyond the organization, influencing industry standards
Culture:
E-1: Some recognition of the importance of risk-based validation
E-2: Culture of quality and risk-awareness developing across the organization
E-3: Strong culture of scientific thinking and continuous improvement in validation activities
E-4: Innovation in validation approaches encouraged and rewarded
Expertise:
E-1: Basic understanding of ASTM E2500 principles among key staff
E-2: Dedicated team of ASTM E2500 experts established
E-3: Deep expertise in risk-based validation approaches across multiple departments
E-4: Organization recognized as thought leader in ASTM E2500 implementation
Governance:
E-1: Basic governance structure for validation activities in place
E-2: Clear governance model aligning ASTM E2500 with overall quality management system
E-3: Cross-functional governance ensuring consistent application of ASTM E2500 principles
E-4: Governance model that adapts to changing regulatory landscape and emerging best practices
To use this PEMM assessment:
Evaluate your validation program against each enabler and capability, determining the current maturity level (P-1 to P-4 for process enablers, E-1 to E-4 for enterprise capabilities).
Identify areas for improvement based on gaps between current and desired maturity levels.
Develop action plans to address these gaps, focusing on moving to the next maturity level for each enabler and capability.
Regularly reassess the program to track progress and adjust improvement efforts as needed.
Comparison Table
Aspect
BPMM
PEMM
Creator
Object Management Group (OMG)
Dr. Michael Hammer
Purpose
Assess and improve business process maturity
Roadmap and benchmarking for process-centricity
Structure
Five levels: Initial, Managed, Standardized, Predictable, Optimizing
Two components: Process Enablers (P0-P4), Organizational Capabilities (E0-E4)
Enterprise systems, business process improvement, benchmarking
Process reengineering, organizational engagement, benchmarking
In summary, while both BPMM and PEMM aim to improve business processes, BPMM is more structured and detailed, often requiring external appraisers, and focuses on incremental process improvement across organizational boundaries. In contrast, PEMM is designed for simplicity and self-assessment, emphasizing the role of process enablers and organizational capabilities to foster a supportive environment for process improvement. Both have advantages, and keeping both in mind while developing processes is key.
Follow a systematic process to validate a shipping container by involving the traditional three main stages: Design Qualification (DQ), Operational Qualification (OQ), and Performance Qualification (PQ).
Design Qualification (DQ)
The DQ stage involves establishing that the shipping container design meets the user requirements and regulatory standards. Key steps include:
Define user requirement specifications (URS) for the container, including temperature range, duration of transport, and product-specific needs.
Review the container design specifications provided by the manufacturer.
Assess the container’s compatibility with the pharmaceutical product and its storage requirements.
Evaluate the container’s compliance with relevant regulatory guidelines and standards.
Operational Qualification (OQ)
OQ involves testing the container under controlled conditions to ensure it operates as intended. This stage includes:
Conducting empty container tests to verify basic functionality.
Testing temperature control systems and monitoring devices.
Evaluating the container’s ability to maintain required conditions under various environmental scenarios.
Assessing the ease of use and any potential operational issues.
Performance Qualification (PQ)
PQ is the most critical stage, involving real-world testing to ensure the container performs as required under actual shipping conditions. Steps include:
Develop a detailed PQ protocol that outlines test conditions, acceptance criteria, and data collection methods.
Conduct shipping trials using actual or simulated product loads.
Test the container under worst-case scenarios, including extreme temperature conditions and extended shipping durations.
Monitor and record temperature data throughout the shipping process.
Assess the impact of various handling conditions (e.g., vibration, shock) on container performance.
Evaluate the container’s performance across different shipping lanes and modes of transport.
Additional Considerations
Associated Materials and Equipment: Ensure all associated materials (e.g., coolants, packaging materials) and monitoring equipment are also qualified.
Re-qualification: For reusable containers, establish a process for periodic re-qualification to ensure ongoing performance.
Documentation: Maintain comprehensive documentation of all qualification stages, including test results, data analysis, and conclusions.
Risk Assessment: Conduct a risk assessment to identify potential failure modes and mitigation strategies.
Best Practices
Use a risk-based approach to determine the extent of testing required for each container type and shipping scenario.
Consider seasonal variations in ambient temperature profiles when designing qualification studies.
Utilize pre-qualified containers from reputable suppliers when possible to streamline the validation process.
Implement a robust change control process to manage any container or shipping process modifications post-validation.
Regularly review and update validation documentation to reflect any changes in regulatory requirements or shipping conditions.
Following this comprehensive approach, you can ensure that your shipping containers are properly validated for pharmaceutical transport, maintaining product quality and integrity throughout the supply chain. Validation is an ongoing process, and containers should be periodically reassessed to ensure continued compliance and performance.
Investigations of a Dog 