AI in healthcare faces a uniquely complex regulatory environment. In the United States, the FDA regulates AI-based software as a medical device (SaMD) under its existing authority over medical devices. In Europe, healthcare AI falls under both the EU AI Act and the EU Medical Device Regulation (MDR). Organizations deploying AI in clinical settings must navigate both frameworks simultaneously — often with different documentation requirements, testing standards, and oversight obligations.
FDA Regulation of Healthcare AI
The FDA has classified most AI-based clinical decision support (CDS) software into two categories: software that meets the statutory definition of a medical device (which requires 510(k) clearance or PMA approval) and non-device CDS that falls outside FDA oversight. The distinction hinges primarily on whether the software is intended to diagnose, treat, cure, or prevent disease versus provide general wellness or informational support.
For AI systems that do require FDA clearance, the agency has published a framework for AI/ML-based SaMD that introduces the concept of a Predetermined Change Control Plan — a structured approach to managing model updates that allows AI systems to evolve without requiring a new 510(k) submission for every model update.
EU AI Act Classification for Healthcare
Under the EU AI Act, AI systems used as medical devices or for the purpose of diagnosing or treating patients are classified as high-risk (Annex III). This triggers the full set of high-risk obligations: risk management, data governance, technical documentation, logging, transparency, human oversight, and accuracy requirements. For organizations already seeking CE mark certification under the EU MDR, these requirements largely overlap — but the EU AI Act adds specific logging and transparency obligations that MDR does not cover.
A Unified Compliance Strategy
The most efficient approach for healthcare AI organizations is to build a single evidence base that satisfies both FDA and EU AI Act requirements. AIClarum's healthcare AI compliance template pack maps requirements from both frameworks to a unified control set, identifying where evidence collected for FDA purposes also satisfies EU AI Act obligations and flagging gaps where additional evidence is needed. This approach reduces documentation effort by approximately 40 percent compared to maintaining separate compliance programs.
AIClarum Healthcare Template
AIClarum's healthcare template includes pre-built documentation for FDA SaMD technical documentation requirements, EU AI Act Article 9-15 requirements for high-risk systems, and HIPAA-compliant audit logging. All documentation is generated from live model telemetry and is maintained continuously rather than assembled at audit time.