A solution guide for evaluating AI monitoring around intended use, clinical validation, performance surveillance, incident response, and governance for SaMD-adjacent tools.
Summary
SaMD monitoring should connect intended use, real-world performance, safety review, drift detection, and incident response before clinical rollout expands.
Workflow checkpoints
Intended use and evidence traceability
Monitoring starts by documenting the intended user, patient population, input data, output, setting, and action affected.
- Map evidence to the exact deployment context.
- Track version changes, site changes, and workflow changes.
- Define review ownership for out-of-scope use.
Performance and safety surveillance
Post-deployment monitoring should catch drift, safety signals, user overrides, and incident patterns.
- Monitor performance, false positives, false negatives, and overrides.
- Define incident intake, triage, escalation, and remediation.
- Document governance decisions and user communication.
Evaluation criteria
- Intended-use clarity, clinical evidence fit, version control, and deployment boundary management.
- Performance monitoring, drift detection, incident response, and safety governance.
- Audit logs, reviewer ownership, regulatory context, bias review, and escalation workflows.
Recommended tool categories
Clinical and imaging AI
Tools where intended use, evidence, monitoring, and safety review are central.
Related tools: aidoc, viz-ai, rad-ai
Compliance and security controls
Tools that support auditability, controls, security posture, and governance operations.
Related tools: vanta-hipaa, truevault, paubox
Compliance considerations
- Do not treat this guide as regulatory, safety, clinical, legal, or compliance advice.
- Confirm intended use, regulatory posture, monitoring responsibilities, and incident response with qualified teams.
- Review PHI handling, audit logs, retention, support access, BAA terms, and user communication plans.
Medical and editorial note
This solution guide is for SaMD-adjacent monitoring procurement research and is not medical, regulatory, safety, legal, or compliance advice.