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The Food and Drug Administration (FDA) recently released a draft guidance for industry, “Data Integrity and Compliance with CGMP” (Current Good Manufacturing Practices). See http://1.usa.gov/25IzpM4. While the draft is not legally binding on industry or the agency, it offers the FDA's current thinking on how drug and biologic manufacturers can comply with current Good Manufacturing Practices, to ensure completeness, consistency, and accuracy of data. In recent years, FDA has taken numerous enforcement actions against companies for data integrity-related violations during GMP inspections. In addition to describing the agency's expectations, the document also offers companies a means to reduce potential product liability exposure.
This article highlights some of the key points in the guidance and attempts to identify the agency's central concerns and recommendations.
Key Definitions
Before getting started, it will help to understand the meanings of a few key terms in the guidance:
FDA Recommendations
The FDA guidance tells companies they must maintain any data created as part of a GMP record, and there must be “valid, documented, scientific justification” for excluding data from the release criteria decision-making process. Manufacturers should also validate each workflow on a computer system and should implement appropriate controls for risks associated with each element of a system, such as software, hardware, personnel and documentation.
Further recommendations were also offered in the guidance, including the following.
For Data Security
For Audit Trails
Appropriate personnel should review audit trails, capturing changes to critical data with each record and before final approval of the record.
Examples of audit trails that should be subject to regular review include the change history of finished product test results, changes to sample run sequences, changes to sample identification, and changes to critical process parameters.
For Electronic Records
Electronic copies can be used as true copies of paper/electronic records, as long as the copies preserve the content and meaning of the original data, including metadata.
Electronic signatures, used with appropriate controls to identify who signed the record, can be used in GMP records.
When generated to satisfy a GMP requirement, all data become a GMP record, and the data must be saved at the time of performance. (For example, chromatograms should be sent to archiving/permanent record upon run completion, not at the end of a day's runs; data should not be stored in temporary memory that allows manipulation before a permanent record is created.)
All GMP records, including electronic records, are subject to FDA inspection.
Compliance
In warning letters, the FDA has cited companies for the use of sampling or testing with the goal of achieving a specific result or overcoming an unacceptable result. This practice of “testing into compliance” undermines data integrity.
For companies subject to enforcement action for data integrity problems, the FDA recommends hiring a third-party auditor, determining the scope of the problem, implementing a global corrective action plan and removing any individuals responsible from GMP positions.
This guidance follows increased FDA enforcement action for data integrity violations, particularly against foreign manufacturers. Consequently, companies with manufacturing sites outside the United States should give particular attention to facility protocols and emphasize the importance of consistent compliance to personnel.
The Takeaways
Obtaining proactive FDA insight and expectations always benefits industry; this draft guidance describes the FDA's concerns about data integrity problems and explains how companies can aim for compliance with GMPs, which may minimize non-compliance issues.
The guidance is also instructive from a product liability perspective. Data integrity, such as falsification or manipulation of technical information or breaches of security, can present potential safety risks to patients. Bad and corrupt data in ' bad and corrupt data out. Failure to properly generate reliable data, or to track any changes to manufacturing processes, for example, may lead to questionable or unpredictable results, at a minimum, and dangerous out-of-product specifications at worst. Product subpotencies, superpotencies, instabilities, and variations may result in public health concerns and significant product liability exposure.
Of course, understanding the recent FDA guidance will not alone eliminate data integrity problems. At the end of the day, company personnel must properly develop and implement facility-specific programs to comply with all FDA quality-related requirements. Such programs need to be tailored to the risk profile of a particular facility and must incorporate adequate controls to ensure the integrity of all data documenting an adequate GMP system. However, the draft offers useful recommendations to fine-tune the integrity of the data that serves as a principal feature of your GMP compliance. Implementation of these recommendations will maximize product quality and, in turn, minimize liability exposure.
Alan G. Minsk, a member of this newsletter's Board of Editors, is a partner and practice leader of Arnall, Golden, Gregory LLP's Food and Drug Practice. He focuses his practice on advising pharmaceutical, biologic, medical device, cosmetic and food companies, on all legal and regulatory matters relating to the FDA and DEA.
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