Clinical Reality
AI systems influencing clinical decision-making are generally classified as high-risk under the EU AI Act.
Clinical decision support systems.
Diagnostic algorithms.
Risk stratification models.
AI-assisted triage.
Telemedicine platforms.
Under the EU AI Act, AI used in medical decision-making is generally classified as high-risk.
High-risk systems require:
Risk management documentation
Defined human oversight
Post-market monitoring
Technical documentation
Incident logging
Most hospitals manage this across fragmented systems.
That creates regulatory, operational, and reputational exposure.
Governance Gap
Where hospitals are exposed.
No central AI registry
Undefined oversight pathways
Incomplete vendor documentation
No structured monitoring process
Limited board visibility
Platform
Lifecycle Healthcare AI™ Layer
Clinical AI Registry
Central inventory of clinical AI systems.
High-Risk Classification Engine
Automated EU AI Act exposure mapping.
Human Oversight Mapping
Formal definition of oversight pathways.
Vendor Conformity Portal
Structured vendor documentation tracking.
Post-Market Monitoring Tracker
Continuous incident and update logging.
Audit-Ready Reporting
Structured documentation for review.
Architecture
Oversight Stack
Structured clinical governance orchestration layer.
Executive Accountability
Clinical AI accountability
requires visibility.
Which AI systems influence patient decisions?
Which are high-risk?
Is human oversight formally defined?
Can we produce documentation within 24 hours?
Lifecycle Healthcare AI™ makes this structured and continuous.