In the absence of a federal framework to monitor the impact of artificial intelligence in the clinic, the Coalition for Health AI (CHAI) is stepping in on post-deployment oversight. The Food and Drug Administration (FDA) lacks the capability to assess how models are performing in the real world after they are authorized for use by the agency. The failure to monitor AI products in the post-deployment phase has been a major hurdle for the industry to adopt AI.
The Centers for Medicare & Medicaid Services (CMS) under the Trump administration is cutting Medicaid-related programs that address health-related social needs or bolster healthcare infrastructure. It says this spending duplicates resources available through other federal and state programs or isn’t directly tied to healthcare services.
The volume of EHR messages sent to U.S. oncologists increased 19% between 2019 and 2022, according to a study published March 3 in JNCI: Journal of the National Cancer Institute. EHR burden is often associated with burnout and a decrease in physician well-being, the study authors wrote.
The Trump administration is floating a 2.4% pay raise for inpatient hospital’s payments for fiscal year 2026, alongside adjustments to quality reporting programs and a call for public suggestions on deregulation and promoting wellness. The bump reflects a projected hospital market basket update of 3.2%, which is reduced by a 0.8 percentage point productivity adjustment, the Centers for Medicare & Medicaid Services' (CMS') explained in a Friday fact sheet on the proposed Inpatient Prospective Payment Systems (IPPS) and Long-Term Care Hospital Prospective Payment System (LTCH PPS).
Managing algorithmic bias is one of the key focus areas for AI governance groups at academic medical centers, and new research from the Icahn School of Medicine at Mount Sinai in New York provides a good reminder of why that equity focus is so important. Researchers found that generative AI models may recommend different treatments for the same medical condition based solely on a patient’s socioeconomic and demographic background.
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