CHAI Releases Governance Playbooks to Streamline AI Implementation for Health Systems
New guidance across eight domains developed by Coalition for Health AI members provides a step-by-step roadmap for transparent, trusted AI governance.
New guidance across eight domains developed by Coalition for Health AI members provides a step-by-step roadmap for transparent, trusted AI governance.
New report finds 98% of security leaders are deliberately constraining agentic AI deployments due to insufficient access controls and identity management.
Direct integration with the operating system is designed to give health systems a single environment for managing regulatory-cleared AI tools within existing imaging workflows.
New guidance across eight domains developed by Coalition for Health AI members provides a step-by-step roadmap for transparent, trusted AI governance.
The new platform integrates imaging AI tools into existing systems and supports GDPR- and HIPAA-compliant data handling.
Read MoreA deliberate approach to AI adoption helps health systems achieve real impact while upholding safety and trust.
Read MoreAs AI becomes embedded in medical equipment, HTM professionals must navigate new questions of accuracy, accountability, and risk.
Read MoreThe new cloud-first platform will use predictive analytics to help manage patient flow, staffing, and equipment.
Read MoreWhile adoption is in early stages, executives view artificial intelligence as a way to reduce claim denials, speed up cash flow, and ease administrative burdens.
Read MoreThe FDA-cleared system uses artificial intelligence to create interactive 3D models from standard medical scans for preoperative planning and intraoperative guidance.
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The agency is requesting public comment on methods for monitoring and evaluating AI models after deployment to ensure continued safety and effectiveness.