Summary
Provides a consensus lifecycle playbook for responsible development and deployment of healthcare AI across usefulness, usability and efficacy; fairness, equity and bias management; safety; transparency and intelligibility; and privacy and security.
Healthcare Implications
Organizations can use the guide to assign lifecycle responsibilities, define intended use, document evidence and data, engage affected stakeholders, evaluate and validate systems, structure procurement and deployment controls, and plan monitoring and improvement across the AI lifecycle.