CAIOS vs ISO 42001: Which framework fits clinical AI?

ISO 42001 and CAIOS both address AI governance, but they were designed for fundamentally different contexts. ISO 42001 is a general-purpose AI management system standard applicable to any organisation developing or deploying AI. CAIOS, the Clinical AI Oversight Specification, was designed specifically for healthcare practices that use AI tools in clinical decision-making. Understanding where they overlap and diverge is essential for choosing the right framework.

ISO 42001 focuses on organisational AI management: establishing an AI policy, defining roles and responsibilities, managing AI system lifecycles, and conducting impact assessments. It is broad by design, covering everything from recruitment algorithms to industrial automation. Its strength is comprehensiveness, but that breadth means it does not address the specific requirements of clinical AI governance, such as radiologist override authority, patient consent for AI-assisted diagnosis, or concordance monitoring against clinical ground truth.

CAIOS fills that clinical gap. Its five domains, Tool Registration, Risk Management, Performance Monitoring, Human Oversight, and Governance Documentation, map directly to the regulatory and medico-legal requirements facing Australian healthcare practices. Where ISO 42001 asks whether you have an AI policy, CAIOS specifies what that policy must contain in a clinical context. Where ISO 42001 requires impact assessments, CAIOS defines the clinical risk categories and monitoring frequencies.

In practice, the two frameworks are complementary rather than competing. A large health system might pursue ISO 42001 certification for its enterprise AI strategy while using CAIOS to govern clinical AI tools at the practice level. For most radiology practices, CAIOS alone provides sufficient coverage. Attest is built on CAIOS, mapping every feature to a specific domain requirement, so compliance is built into your daily workflow rather than bolted on as a separate exercise.