Regulatory Compliance

All electronic records, reviewer adjudications, and e-signatures fully satisfy US FDA 21 CFR Part 11 and EU Annex 11 regulatory requirements. Every medical review decision binds the authenticated identity of a named physician with a precise UTC timestamp, clinical review rationale, and short-lived OTP re-authentication into a tamper-evident, append-only audit trail enforced by database triggers.

Zen Protocol AI aligns with the international ICH M11 guideline for electronic structured clinical trial protocols. The platform structures protocols across 133 standardized sections, links to CDISC Unified Study Definitions Model (USDM) representations, and maintains cross-section dependency impact tracking to ensure zero contradictions during protocol amendments.

Zen Health incorporates Risk-Based Quality Management (RBQM) principles under updated ICH E6(R3) GCP guidelines. Protocol-defined signal criteria (AE/SAE thresholds, lab trends, dose-limiting toxicities) are evaluated continuously against normalized FHIR R4 and ICSR payloads to maintain verifiable, inspection-ready decision lineage.

Adjudicated safety cases export seamlessly into standard ICH E2B(R3) XML, CIOMS I, and MedWatch 3500A formats for expedited regulatory submissions to FDA FAERS, EMA EudraVigilance, and MHRA. Furthermore, adjudicated decision streams feed directly into periodic aggregate reporting workflows.

Software release pipelines adhere strictly to GAMP 5 risk-based computer system validation methodology. Complete validation documentation packages—including User Requirements Specifications (URS), Functional Specifications (FS), Traceability Matrices, and automated Installation/Operational/Performance Qualification (IQ/OQ/PQ) test execution packages—ensure continuous validation state across every production update.

Strict clinical governance invariants: AI outputs serve strictly as non-authoritative clinical decision support. AI never signs a safety case or files a protocol. Protected health information (PHI/PII) is automatically scrubbed and de-identified prior to analysis. In Zen Protocol AI, all enrollment timelines and feasibility metrics are calculated via statistical Monte Carlo modeling, eliminating generative numerical errors.

For questions regarding regulatory compliance standards, inspection readiness packages, ICH M11 mappings, or GxP validation documentation, please contact our regulatory affairs team.