I’m currently working on the design of a clinical trials data management and automation platform, and I’m looking for insights from professionals experienced in healthcare IT, life sciences, or enterprise software architecture.
The system needs to support:
Secure storage of clinical trial data
Audit trails and data versioning for compliance (e.g., GxP, 21 CFR Part 11)
Role-based access control for multiple stakeholders
High scalability to support multiple studies and sites
Integration with analytics, reporting, and automation workflows
I’m particularly interested in understanding:
Recommended architecture patterns for building scalable and compliant clinical data platforms
Best practices for maintaining auditability without impacting performance
Whether certain database models (relational vs hybrid approaches) work better for regulated environments
Common pitfalls to avoid when designing systems used in regulated industries
Any real-world experience, architectural insights, or lessons learned would be greatly appreciated.
Thanks in advance for your guidance.