AHA Center for Health Innovation Market Scan

AHA Center for Health Innovation’s Market Scan articles provide insights and analysis on the field’s latest developments in health care disruption, transformation and innovation.

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The highly competitive post-pandemic labor market, particularly for specialists, is impacting the compensation packages health care providers are offering, experts say.
As hospitals and health systems continue to renew and strengthen the clinical workforce pipeline, they may want to take a closer look at how community colleges can help in this area.
A new study published this month in The Joint Commission Journal on Quality and Patient Safety finds that virtual MDRs combined with other interventions led to more than 60% of discharges being below the mean LOS at Yuma Regional Medical Center in Arizona and delivered other benefits.
ChatGPT has problems with accuracy in making cancer treatment recommendations, according to a study recently published in JAMA Oncology. Researchers from Mass General Brigham found that one-third of GPT’s 3.5 recommendations went at least partially against 2021 National Comprehensive Cancer…
A new plan will transition Blue Shield of California’s drug supply management from CVS Health’s PBM to five companies — a move the payer believes will save its 4.8 million members as much as $500 million a year in drug costs or about 10% to 15% of what it spends on drugs annually.
A new AHA Leadership Scan episode will examine how one AI-powered system was developed from 10 million images of patients’ hearts gathered over a 15-year period from more than 40,000 patients in landmark, multicenter clinical trials.
How to plan, execute and accelerate redesigned health care dominated discussions at the recent AHA Leadership Summit in Seattle, as hospital and health system leaders, retail care providers, innovators and entrepreneurs came together to assess what’s next for the field.
Interest among investors and health care leaders continues to rise in artificial intelligence (AI). Clinical support areas and diagnostic imaging continue to be the most promising applications of AI, but more novel uses of the technology for automating documentation are drawing interest.