Day: February 11, 2026

Ambient AI Scribes: Gains, Risks, Governance
Ambient AI scribes are delivering measurable clinician time-savings and documentation improvements, but they also create new privacy, security,
AI Readiness: Health Systems Must Build Foundations
Healthcare organizations are piloting AI, but fragmented data, weak governance, and workforce gaps are preventing scalable deployments. This
Guardrails for AI Mental Health
AI-driven mental health tools are being deployed faster than governance frameworks, creating safety and equity risks. This post
VA's EHR Reset Meets AI for Suicide Prevention
The VA’s concurrent reboot of its EHR program and prioritization of AI for clinical needs like suicide prevention
AI Regulation: Healthcare's Fragmented Crossroads
Federal health guidance is pushing for faster AI-enabled care even as state and local rules proliferate, creating a
Outcomes-Driven Standards for Clinical AI
AI validation in healthcare is shifting from technical metrics to outcomes-based evidence captured in real-world settings. This post
AI, EHRs, and Data Integrity
Health systems are embedding AI into EHRs to improve clinical care and efficiency, but inconsistent data quality and
Deliberate AI Adoption in Academic Medicine
Academic medical centers are adopting AI through disciplined governance, clinician engagement, rigorous validation, and targeted hiring. This post
AI Scribes and EHR Modernization
AI scribes and EHR upgrades promise to cut clinician documentation time, but rapid adoption exposes gaps in governance,
Closing AI Accountability Gaps in Healthcare
As AI systems move from pilots to production, accountability gaps are surfacing: models become obsolete, influence diagnosis and

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