AI In Healthcare

AI in healthcare encompasses machine learning and algorithmic systems deployed across clinical diagnosis, treatment planning, drug discovery, and patient management. This domain is critical for AI governance because healthcare applications carry direct risks to human safety and wellbeing, triggering stringent regulatory requirements from agencies like the FDA and compliance obligations under HIPAA for data protection. Organizations must implement robust validation protocols, bias testing, and transparency measures to ensure these systems meet clinical standards and maintain patient trust.

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EnforcementUS2026-09-25

Federal AI Prior Authorization Program Fails 53% of Requests, GAO Finds Procedural Breach

The Trump administration's WISeR pilot, launched in January 2026 across six states, uses AI to automate Medicare prior authorization decisions. One participating vendor denied more than 53 percent of requests, and several vendors missed a mandated 72-hour decision window. The Government Accountability Office determined in May 2026 that the Centers for Medicare and Medicaid Services did not follow proper procedure in establishing the program.

AI in healthcare prior authorization Centers for Medicare and Medicaid Services algorithmic harm human oversight government AI deployment GAO AI incident