Avicenna Medical Blog

Care Management Weekly News Update 4/03/24

Posted by DeAnn Dennis on Wed, Apr 03, 2024 @ 11:45 AM

The U.S. Department of Health and Human Services (HHS) through the Office of the National Coordinator for Health Information Technology (ONC), today released the draft 2024–2030 Federal Health IT Strategic Plan for public comment. The draft plan outlines federal health IT goals and objectives that are focused on improving access to health data, delivering a better, more equitable health care experience, and modernizing our nation’s public health data infrastructure.

In 1996, two journal articles described potentially paradigm-shifting models for acute care: the hospitalist concept and Hospital at Home (HaH). Both models quickly accrued an evidence base demonstrating similar value propositions: providing care equal to or better than traditional hospital care at a significantly lower cost, all with high patient satisfaction. Yet, within a decade, the hospitalist model came to define inpatient medical care, while HaH gained little traction in the US health care system.

With AI being all the buzz in healthcare today, many questions about the technology still remain. At the 2024 SXSW conference, the technology garnered considerable attention across sessions. One panel on the future of AI in healthcare, which drew a particularly large crowd, had panelists discussing everything from concerns to potential to what's needed for safer, more integrated and more impactful systems. 

Fitch Ratings does not anticipate any credit impact on the not-for-profit (NFP) hospitals sector stemming from the recent cyber-attack on Change Healthcare (part of Optum Health and the payer UnitedHealthcare), despite its status as a billing clearing house for an estimated one-third of all hospitals in the U.S.

A recent survey of more than 200 oncologists by researchers at Dana-Farber Cancer Institute found broad agreement on how artificial intelligence can be responsibly integrated into some aspects of patient care. Respondents also expressed concern about medico-legal issues as well as how to protect patients from hidden biases of AI. While 76 percent of respondents noted that oncologists should protect patients from biased AI tools, only 28 percent were confident that they could identify AI models that contain such bias.


Tags: Weekly Industry News