The National Institutes of Health April 3 released a study that found an artificial intelligence screening tool was as effective as health care providers in identifying hospitalized adults at risk for opioid use disorder and referring them to inpatient addiction specialists. When compared with patients who received consultations with providers, patients screened by AI had 47% lower odds of hospital readmission within 30 days after their initial discharge, saving nearly $109,000 in care costs. 
 

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Jim VandeHei, CEO of Axios; Marc Boom, M.D., AHA board chair and president and CEO of Houston Methodist; Anne Klibanski, M.D., president and CEO of Mass…
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Centers for Medicare & Medicaid Services Administrator Mehmet Oz, M.D., and CMS Deputy Administrator and Director of Medicaid and CHIP Dan Brillman sat…
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The Health Sector Coordinating Council’s Cybersecurity Working Group has released a guide on third-party artificial intelligence risk and AI supply…
Chairperson's File
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More than 1,000 leaders from hospitals and health systems across the country will gather in Washington, D.C., early next week at the 2026 AHA Annual…
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Few patient populations are more vulnerable to the shifting winds around health care today than Medicare beneficiaries who need specialized, high-acuity and…
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The Centers for Medicare & Medicaid Services April 2 issued a proposed rule that would update hospice payment rates for fiscal year 2027. Overall, CMS…