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欧盟GMP更新-第四章文件、附件11计算机化系统、附件22 AI
Revision of Chapter 4 - Documentation
The revised Chapter 4 incorporates changes which highlight the importance of documentation in GMP compliance and support the use of new technologies, hybrid solutions, and new services in the management of documentation. Risk-management principles are now central and integrated within the data governance system to ensure the accuracy, integrity, availability, and legibility of documents across all formats—paper, digital, or hybrid. All documentation, whether in text, image, video, or audio form, must remain complete and readable throughout its lifecycle. The guideline also clarifies the requirements for the management of electronic records, signatures, and data integrity while ensuring consistency with the concurrent revision of Annex 11.
Revision of Annex 11 – Computerised Systems
The revised Annex 11 establishes enhanced requirements for the lifecycle management of computerised systems, mandating that Quality Risk Management principles be comprehensively applied during all steps. The updated provisions reinforce obligations concerning the definition and ongoing maintenance of system requirements and the oversight of suppliers and external service providers. Furthermore, the Annex strengthens controls related to the assurance of data integrity, audit trails, electronic signatures, and system security.
New Annex 22 - Artificial Intelligence
The new annex on Artificial Intelligence establishes requirements for the use of AI and machine learning in the manufacturing of active substances and medicinal products. It sets up requirements for the selection, training, and validation of AI models. Emphasis is made on the definition of the intended use of the model, the establishment of performance metrics, the quality of model training data, and the management and processing of test data. Annex 22 foresees a continuous oversight of AI systems, including change control, model performance monitoring and procedures for human review when necessary.
These 3 documents taken together aim at providing a comprehensive and robust framework that supports the implementation of IT technologies in pharma manufacturing while safeguarding product quality and patient safety.
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