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 declining accuracy, 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 and machine learning (AI/ML) Software as a Medical Device. They introduce a total product lifecycle approach and predetermined change control plans. Self-updating clinical algorithms also face transparency and monitoring requirements.
EU AI Act (Regulation (EU) 2024/1689)
The EU AI Act is the European Union's law on artificial intelligence. It sorts AI systems by risk, bans a short list of practices, and sets duties for high-risk systems and general-purpose AI models. It applies to any organization that builds, sells, or uses AI in the EU, wherever that organization is based. Obligations phase in between February 2025 and August 2028.
NIST AI Risk Management Framework (AI RMF 1.0) and Playbook
The NIST AI Risk Management Framework (AI RMF 1.0) is a voluntary US framework for managing the risks of AI systems. It organizes the work into four functions: Govern, Map, Measure, and Manage. Its companion Playbook suggests concrete actions for each part. Any organization that builds or uses AI can adopt it, and some laws and contracts point to it.
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?