AI News

This blog publishes original analysis of developments in artificial intelligence in medicine.

Content is created by synthesizing reporting and research from reputable public sources with a focus on context, comparison, and implications rather than republishing news.

The Infrastructure Crisis Holding Healthcare AI Hostage: Why EMR Fragmentation Matters More Than Algorithms
Healthcare has invested $40 billion in AI, yet fragmented EMR systems are preventing algorithms from reaching their potential.
The Leadership Paradox: Governing AI in Medicine When the Future Is Already Here
Healthcare leaders face an unprecedented governance challenge: AI is already embedded in clinical workflows before consensus frameworks are
The Leadership Paradox: Governing AI in Medicine When the Future Is Already Here
Healthcare leaders face an unprecedented governance challenge: AI is already embedded in clinical workflows before consensus frameworks are
Navigating the AI Diagnostics Boom: Balancing Innovation, Risk, and Reliability in Healthcare
As AI diagnostic tools flood the healthcare market, organizations face a critical challenge: how to harness the technology's
The Dual Revolution: How AI is Transforming Both Healthcare Markets and Clinical Operations
AI is driving a dual transformation in healthcare—fueling a $65 billion wearable technology market through telemedicine integration while
The Dual Edge of AI in Healthcare: Advancing Research While Navigating Documentation Risks
AI is simultaneously accelerating life-saving drug research and raising concerns about clinical documentation integrity. This analysis explores how
The Regulatory Paradox: Accelerating AI Adoption While Rolling Back Transparency Requirements
As HHS pushes to accelerate AI adoption in clinical care while simultaneously rolling back transparency requirements, healthcare organizations
The AI Transparency Paradox: Can Healthcare Accelerate Adoption While Rolling Back Disclosure Rules?
The Trump administration's proposed HTI-5 rule eliminates Biden-era AI transparency requirements while seeking ways to accelerate clinical adoption
The EHR AI Arms Race: How 2026 Will Transform Clinical Workflows
Major EHR vendors are signaling that 2026 will mark a decisive shift from experimental AI pilots to enterprise-wide

The best candidates for your jobs, right in your inbox.

We’ll get back to you shortly

By submitting your information you agree to PhysEmp’s Privacy Policy and Terms of Use…