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Category: Insights

When AI Outperforms: From Scribing to Decisions

When AI Outperforms: From Scribing to Decisions

AI is moving beyond clerical automation into clinical decision-making. Systems that pair diagnostic performance with platform-level integration will
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Regulation, Private Capital, and Care Economics

Regulation, Private Capital, and Care Economics

CMS coverage tightening plus private equity ownership is compressing revenue predictability, prompting service rationalization and workforce shifts. Executives
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Who Owns Clinical AI Risk?

Who Owns Clinical AI Risk?

As AI adoption accelerates, legal and regulatory exposure is shifting from abstract risk to everyday operational decisions. Health
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AI Scribes That Fuel Burnout

AI Scribes That Fuel Burnout

Poorly integrated AI scribes and LLMs can increase clinicians' cognitive load through workflow mismatches, verification burdens, and hallucination
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States Rebuild the Healthcare Pipeline

States Rebuild the Healthcare Pipeline

States are reallocating funds from emergency hiring to upstream solutions — grants for education, innovation centers, and retention
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Medicare Pay, Regulation, and Physician Burnout

Time-to-Fill and Cost-to-Hire: Where Recruiting Breaks Down

Every open role on a staffing report tells a story — and more often than not, it isn't
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AI Scribes: Solving Burnout or Shifting It

AI Scribes: Solving Burnout or Shifting It

AI scribes lower documentation time but often reallocate cognitive and supervisory burdens to clinicians. The net effect on
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After 39 Days: What NYP’s Deal Signals

After 39 Days: What NYP’s Deal Signals

The NYP tentative agreement that ended a 39‑day nurses strike resolves immediate disruption but exposes structural workforce problems—chronic
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States Rewire Licensing to Recruit Immigrant Doctors

States Rewire Licensing to Recruit Immigrant Doctors

States are altering licensure and immigration pathways to accelerate hiring of internationally trained physicians, creating both near-term staffing
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Who Is Responsible for Clinical AI?

Who Is Responsible for Clinical AI?

Legal and ethical stakes for clinical AI are rising. This piece analyzes liability dynamics, how blame may be
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