AI in Healthcare and Life Sciences
Healthcare AI operates under uniquely high stakes: errors affect patient safety, systems process sensitive health data, and regulatory approval pathways are complex. Regulators in the US and EU have issued specific guidance for AI as a medical device, clinical decision support, and health data processing. This topic covers the frameworks, governance controls, and monitoring requirements most critical for healthcare organizations and life sciences companies deploying AI.
Key board-level questions
- 1.Which of our AI systems qualify as Software as a Medical Device (SaMD) and require FDA or regulatory clearance?
- 2.How do we monitor AI clinical decision support tools for drift, bias, and patient safety incidents?
- 3.Are our health AI systems trained on data that meets HIPAA, GDPR, and applicable health data protection requirements?
- 4.Do we have a defined process for human clinical oversight of AI-driven diagnoses or treatment recommendations?
Regulatory frameworks
FDA AI/ML Software as Medical Device Guidance
FDA’s action plan and guidance address AI/ML Software as a Medical Device. They introduce a total product lifecycle approach and predetermined change control plans. Adaptive clinical algorithms also face transparency and monitoring requirements.
EU AI Act: AI Literacy and Prohibited AI Systems Provisions (Applicable 2 February 2026)
This entry lists February 2, 2026 as the EU AI Act’s first major compliance deadline. It requires AI developers and deployers in the EU to establish workforce literacy measures. It also describes enforceable prohibitions on unacceptable-risk practices. Organizations must cease prohibited practices and demonstrate adequate staff competency by that date.
NIST Artificial Intelligence Risk Management Framework Playbook
The voluntary NIST AI RMF Playbook provides implementation guidance, suggested actions, and example outputs across AI use cases. It supports GOVERN, MAP, MEASURE, and MANAGE throughout the system lifecycle.
ISO/IEC 42001:2023 - Artificial Intelligence Management System
ISO and IEC published ISO/IEC 42001:2023 in December 2023 as the first international AI management system standard. It sets requirements for establishing, maintaining, and improving an AI Management System. Organizations developing or using AI products and services can seek independent certification.
Playbook guidance
What does meaningful human oversight look like for high-risk AI decisions?
What is our process for model drift monitoring?
How do we maintain data privacy compliance when using AI?
Is our training data compliant with global privacy laws?
What does audit-ready AI documentation look like in practice?
How do we detect and mitigate algorithmic bias?