Analysis and commentary on health AI governance

OpenAI and Anthropic are competing for dominance of the healthcare market, launching products for consumers, enterprises, and researchers -- but each integration and product launch compounds agentic AI risk and ensnares healthcare within a personal feud that shows no signs of mollifying.

Hallucination Risks: Researchers at Tel Aviv University, Technion, and Intuit Discover Hallusquatting, The LLM Promptware CIOs Aren't Prepared For

Hallusquatting indirectly injects research LLMs with scalable promptware. Its first breach: Google Gemini. Its next: health AI tools OpenEvidence, Doximity, and Claude Science.

The Integration Trap: OpenEvidence's Integrated EchoNext Before it Demonstrated Clinical Utility

OpenEvidence's new ECG service claims it doubles accuracy for heart disease diagnosis. Experts fear it could burn out health systems. Their warnings serve as a reminder: clinical accuracy doesn't guarantee clinical utility.

Strategic Ambiguity: UpDoc Characterizes Its FDA Clearance as 'Historic;' CHARGE Isn't Sure

UpDoc is proclaiming its tech the 'realization of clinical AI.' FDA files suggest its 'AI' isn't clinical.

Building AI on AI: What the Abridge–NVIDIA Partnership Means for Health-System Data Infrastructure

Abridge is training a clinical foundation model on NVIDIA's Nemotron and its own de-identified conversations. When ambient-scribe errors become the foundation of new AI, the risk compounds.

Predictive AI vs. GenAI governance: same word, different rules

Can you govern a sepsis model and an LLM the same way? The differences matter more than most frameworks acknowledge.

The “Day 2” Problem: Why 90% of AI Governance Focuses on Pre-Deployment Vetting When Real Insights Live in Ongoing Monitoring

AI governance doesn’t end at deployment. Real risk and impact emerge in production, where oversight is often weakest.

Secret Cyborgs: The Hidden Risk Your AI Governance Policy Is Missing

“Secret cyborgs” expose a growing gap between formal governance and how AI is actually used on the ground.

The Rise of the Departmental AI Lead: What AI Governance Can Learn from Epic’s Physician Builder Model

AI governance is decentralizing from committees to departments, where real oversight happens.

Education

Your AI is 99% accurate. So what? Why accuracy alone isn’t enough

“99% accuracy” means little if the model doesn’t drive real-world action and impact.

Community

48 Hospital and Health System Chief AI Officers to Know

From clinical decision support to enterprise automation, AI is reshaping healthcare. Meet the executives shaping the future of responsible AI in hospitals across the US.

Navigating AI Liability in Healthcare: Key Considerations for Health System Leaders

When AI harms, who’s to blame? As AI enters clinical care, liability is shifting. Here’s what health leaders need to know.

Navigating HIPAA's New Proposed AI Rule: Key Implications for Health Systems

Sam Khan explores the newly proposed HIPAA AI rule and its impact on healthcare AI compliance.

Community

The Expanding Role of Chief AI Officers in Healthcare: A Comprehensive Overview for 2025