AI in Healthcare: Legal and Regulatory Considerations

Artificial intelligence applications in healthcare represent both significant promise and real legal complexity. From diagnostic imaging analysis to clinical decision support to administrative automation, AI is being integrated into care delivery in ways that raise questions about regulatory classification, liability, and patient rights.

FDA Regulation of Software as Medical Device

The FDA regulates AI/ML-based software that meets the definition of a medical device under the Federal Food, Drug, and Cosmetic Act. Software that provides clinical decision support and influences clinical decisions is subject to FDA oversight; purely administrative software is not. The FDA's Digital Health Center of Excellence has published guidance on its approach to AI/ML-based software as a medical device (SaMD), including a framework for managing changes to algorithms after deployment.

Clinical Liability Questions

When an AI system contributes to a clinical error, liability questions become complex. Physicians remain responsible for clinical decisions even when assisted by AI tools — the learned intermediary doctrine and professional standard of care still apply. But manufacturers of defective AI tools may face product liability claims if the tool causes harm. The interplay of professional liability and products liability in AI-assisted medicine remains unsettled in most jurisdictions.

Patient Privacy

Healthcare AI systems are trained on patient data, raising HIPAA compliance questions. Business associate agreements are required for AI vendors with access to protected health information. De-identification of training data must meet the standards set out in HIPAA's Privacy Rule — either expert determination or safe harbor methods. Patients generally have no right under HIPAA to object to uses of their de-identified data.