1. Start with intended use and risk
The level of control should reflect how the system is used and its potential impact on product quality, patient safety and data integrity. Not every technology component needs the same validation effort.
2. Understand system ownership
IT may operate the infrastructure, but business process owners, Quality and system owners also have defined responsibilities. Clear ownership prevents gaps around access, change approval, periodic review and lifecycle decisions.
3. Apply GAMP 5 principles pragmatically
A risk-based lifecycle approach helps teams focus effort on functions that matter most. Supplier assessment, requirements, testing, traceability and controlled release should be proportionate to risk and intended use.
4. Protect data integrity
Access control, audit trails, backup, time synchronisation, interfaces, electronic records and administrative privileges can all affect data integrity. Infrastructure and cybersecurity decisions therefore need to be considered as part of the validated environment.
5. Infrastructure changes can affect validated systems
Patching, operating-system upgrades, virtualisation changes, network changes, backup modifications and cloud migrations may affect validated applications. The change process should identify possible impact before implementation.
6. Keep IT, Quality and laboratories connected
The strongest operating model is collaborative. IT understands technical dependencies, Quality understands compliance expectations and laboratory users understand the process. Decisions improve when these perspectives are considered together.
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EaseThat supports technology governance, LIMS and regulated-system ownership, infrastructure change and validation-aware IT delivery in life-sciences environments.
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