Knowledge Management - a GMP Inspector's Perspective
At last year's ECA "Equipment Qualification Forum", the spotlight was placed firmly on the application of the ECA Good Practice Gui de Qualification and Validation - A Guide to Effective Qualification Based on Customer-Supplier Partnership, Version 3.0. Authors and users of the guide came together to explain its content, discuss its practical use, and explore possible future developments.
Among the many aspects addressed during the forum, one topic stood out in the context of validation and qualification: knowledge management.
It was this subject that Dr Rainier Gnibl, a European GMP inspector, examined in detail, presenting his perspective on how knowledge management can - and should - be integrated into the validation lifecycle. At the outset of his presentation, he outlined the validation lifecycle itself, using it as a framework to define key terminology and establish a common understanding (see Figure 1)
Defining Knowledge Management in GMP
But what exactly is meant by knowledge management? Referring to the ICH Q10 guideline on pharmaceutical quality systems, Gnibl cited the definition as "a systematic approach to identifying, analysing, storing and distributing information relating to products, manufacturing processes and components." This information forms the basis for continuous improvement processes, ensuring that systems and processes remain under control at all times.
He went on to introduce the essential toolkit for knowledge management. At its core are three fundamental elements:
- A robust pharmaceutical quality management system
- Quality risk management
- Controlled data handling, often referred to as data governance
Figure 1: Validation Lifecycle
Sources of Knowledge Across the Lifecycle
The question then arises: where does the knowledge feeding such a system originate? ICH Q10 provides clear guidance here as well. Sources include
- Development studies
- Transfer studies
- Change of site, where applicable
- Validation lifecycle
- Product experience
- Innovations
- Change management
In Gnibl's view, particular importance should be attributed to data systems that capture non-conformities and unplanned events, as well as those that monitor and evaluate processes and product quality. At the same time, he described systems asses sing the effectiveness of the pharmaceutical quality system - such as self-inspections, audits, and regulatory inspections - as "indirect data systems" that nonetheless exert a significant influence.
To illustrate the practical relevance of knowledge management, Gnibl referred to a typical inspection question: "What knowledge is critical within the product lifecycle?" Possible answers include
- Findings from systems that have a negative impact on QP certification
- Findings from systems that have a negative impact on the QP declaration
- Systems that generate critical data
- Systems that generate costs or may even lead to delivery bottlenecks (batch rejection, com plaints, recalls, changes, variations)
According to Gnibl, much of this critical knowledge is concentrated within systems for handling non-conformities. These include deviation management, deficiencies in preventive maintenance, change management - particularly in relation to contract manufacturers and external laboratories - as well as Out-of-Limit (OOL), Out-of-Trend (OOT), and Out-of-Specification (OOS) results. Complaints and recall management also play a central role.
In addition, knowledge is indirectly captured through processes such as Ongoing Process Verification (OPV) and Annual Product Quality Reviews (PQR), further contributing to the overall knowledge base.
Expanding beyond these core systems, Gnibl provided an overview of the broader knowledge management toolbox, highlighting the wide range of mechanisms available to capture, process, and utilise information effectively (see Figure 2).
Figure 2: Toolbox for Knowledge Management
A further key aspect of knowledge management, he stressed, lies in data governance (see Figure 3). Using practical examples, Gnibl demonstrated the sheer scale and complexity of modern data hand ling. In addition to meeting GMP and regulatory requirements, companies must also comply with data integrity principles such as ALCOA++. As in many other areas, quality risk management plays an accompanying role here, guiding the appropriate handling of data.
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Figure 3: Data Governance
To underline the consequences of poor practices, Gnibl presented visual examples of inadequate data management - damaged or discarded documents found in inappropriate settings - raising the question of whether such practices could ever be considered acceptable (Figure 4).
Figure 4: Incorrect Data Management
Responsibility for knowledge management, however, does not lie solely within operational teams. Gnibl clearly identified senior management as the key driver, describing its role as that of an "advocate". Active involvement in management reviews, as part of the evaluation of the pharmaceutical quality system, is seen as a crucial mechanism for fulfil ling this responsibility.
Turning to the product lifecycle, Gnibl explained how knowledge management begins in the development phase. Here, process de sign establishes the foundation for subsequent qualification and validation activities. Although formal GMP requirements do not fully apply to research and development, he emphasised the importance of adhering to Good Documentation Practice and implementing a defined approach to data governance. The development report, in particular, plays a vital role in supporting the transfer from development into routine operations.
Within routine manufacturing, the greatest challenge lies in the effective communication of knowledge. Short-term knowledge management is largely driven by deviation and CAPA systems, while long-term knowledge management depends heavily on robust change management processes. This includes the integration of data integrity considerations across all involved parties, such as contract manufacturers and testing laboratories.
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Importantly, knowledge management only ends with the end of the product itself. Yet, even after discontinuation, valuable information continues to be generated and retained. This includes results from retention sample analyses, Product Quality Reviews, ongoing stability programmes, and qualification and validation documentation - as long as the product remains on the market - as well as batch-related records, including QP certification registers.
A major concern highlighted by Gnibl is the impact of an inadequate quality culture within organisations. Such deficiencies can lead not only to poor data management but, in extreme cases, to data manipulation.
The complexity of knowledge management is further amplified in modern supply chains, where numerous stakeholders are involved. In this context, Gnibl described poor quality culture as a critical issue - the "Gordian knot" that must be cut to enable effective knowledge management. This observation led him back to the topic of data integrity and the principles of ALCOA.
Finally, Gnibl examined the role of knowledge management within Annex 15. While not always explicitly stated, knowledge management is embedded in many aspects of the guideline, particularly those based on risk management. These include defining the scope of qualification and validation activities, establishing user requirements (URS), identifying critical process parameters (CPP), critical material attributes (CMA), and critical quality attributes (CQA), qualifying suppliers, determining validation strategies and batch numbers, justifying bracketing approaches, assessing unmonitored transport conditions, evaluating auxiliary systems with product contact, and performing cleaning validation - including the justification of Maximum Carry-Over (MACO) limits and considerations of microbiological and endotoxin contamination as well as when determining the number of validation batches.
In addition, Annex 15 contains direct references to knowledge management in Chapter 2.1, where Good Documentation Practice is highlighted as a key enabler supporting knowledge management throughout the entire lifecycle.
In closing, Gnibl offered an outlook on upcoming regulatory developments, including draft revisions to Annex 11 and the introduction of Annex 22, both of which are expected to further address knowledge management considerations.
The full presentation is available via the ECA website.
Conclusion
The ECA Equipment Qualification Forum once again demonstrated its value as a platform for exchange between experts and practitioners. Equipment qualification remains a highly relevant topic within the GMP environment - and as the discussions made clear, knowledge management is playing an increasingly central role in ensuring its effectiveness.
| The guide is available free of charge to members of the ECA 'Vali dation Group', |
About the Author
Sven Pommeranz is Operations Director and organises and conducts courses and conferences on behalf of the ECA Academy in the area of validation.
