Rapid AI rollouts in healthcare are exposing gaps in validation, monitoring, and accountability. This post outlines governance elements—technical

Agentic AI is moving from pilots to real-world use across hospitals, but organizational readiness—governance, validation, and workforce training—lags

Health systems are rapidly adopting AI, but reliability and operational scalability remain key barriers. This post examines lifecycle

AI developers are increasingly funding public policy research, a trend that can accelerate governance capacity but raises questions

Ambient AI scribes are delivering measurable clinician time-savings and documentation improvements, but they also create new privacy, security,

Healthcare organizations are piloting AI, but fragmented data, weak governance, and workforce gaps are preventing scalable deployments. This

AI-driven mental health tools are being deployed faster than governance frameworks, creating safety and equity risks. This post

The VA’s concurrent reboot of its EHR program and prioritization of AI for clinical needs like suicide prevention

Federal health guidance is pushing for faster AI-enabled care even as state and local rules proliferate, creating a

AI validation in healthcare is shifting from technical metrics to outcomes-based evidence captured in real-world settings. This post