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Almost 15% of more than 5,500 U.S. adults—representing around 14 million individuals—have skipped a doctor visit after feeling satisfied enough with health advice they received from AI.
Demonstrated cost-effectiveness is a highly motivating factor in getting healthcare workers to adopt measures for preventing and controlling healthcare-associated infections.
If the budget makes it through Congress intact as submitted—a big if even with the president’s party in the majority in both chambers—healthcare is in for some strict belt-tightening.
The Department of Health and Human Services is looking to replace lab animals with AI models. Even more bullish on AI is the new boss at the Centers for Medicare and Medicaid Services.
GenAI initiatives are complex and—in some cases—costly. “As such, the main rationale for pursuing them needs to be business growth, not workforce reductions.”
The authors of the survey report note that AI tools mentioned by respondents run the gamut from automated appointment reminders to dynamic “care gap” messaging.
Some AI decision-support models have a proclivity for recommending aggressive care pathways. And doing so on the basis of patient demographics, not medical necessity.
As applications of AI spread rapidly across healthcare, ambient scribes are poised to become one of the fastest technology adoptions in the history of the sector.
Sending helpful alerts through email and the electronic health record can make a significant impact on patient care, according to new data presented at ACC.25 and published in Circulation.
As TAVR continues to grow in popularity, researchers noted, it becomes more and more important to know how different complications impact long-term outcomes.