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Software assessment under consideration of validation aspects: PPS and PMS systems
Pharmaceutica Acta Helvetiae
|April 29, 1998
Summary
Pharmaceutical production systems require validation due to safety and regulatory requirements. A risk analysis shows that production management systems (PMS) modules need validation most, with varying supplier interpretations of risk analysis.
Area of Science:
- Pharmaceutical Manufacturing
- Computerized Systems Validation
- Regulatory Compliance
Background:
- Computer-based systems in pharmaceutical production are subject to stringent validation requirements by regulatory bodies like the FDA and EU.
- These regulations stem from critical safety aspects and business risks associated with drug manufacturing.
Purpose of the Study:
- To determine which modules within production planning and control (PPS) and production management systems (PMS) necessitate validation.
- To develop and apply a standardized questionnaire for assessing software supplier adherence to validation requirements.
Main Methods:
- A risk analysis procedure was employed to identify critical validation modules.
- A software supplier questionnaire, based on the V-model, was developed and administered to assess four prevalent pharmaceutical industry software products.
Main Results:
- The study identified that production management systems (PMS) modules are the primary focus for validation necessity.
- Application of the questionnaire revealed that software products, despite lifecycle concept development, exhibit varying degrees of compliance with validation requirements.
- A significant divergence in the interpretation of risk analysis was observed among software suppliers.
Conclusions:
- Validation efforts in pharmaceutical production should prioritize production management systems (PMS) modules based on risk assessment.
- The developed questionnaire serves as a tool to measure the validation readiness of software suppliers.
- Standardized interpretation and application of risk analysis are crucial for consistent validation outcomes in the pharmaceutical software industry.