Providers utilize business intelligence to monitor referral patterns and collaborate with clinicians who order their services. Such analytics tools have also been deployed in the specialty to improve productivity, track patient satisfaction and bolster quality.
The collaboration between the chipmaker and Abridge, a developer of generative AI for healthcare, will involve data-sharing to improve Nvidia’s general-purpose models, which in turn will be used to make Abridge’s clinical offerings more efficient.
The Kentucky-based insurance giant had owned a 40% stake in the hospice company, stemming from its 2021 acquisition of Kindred Healthcare. Humana said a “consortium of investors" is making the buy, but few details were revealed.
The buyout, announced last summer, drew the attention of federal regulators at the Federal Trade Commission, concerned that competition for ambulatory surgery services would be stifled by the merger. To appease the agency, Ascension has agreed to divest from some centers previously owned by Amsurg.
When Mayo Clinic and Microsoft announced last week that they’re partnering to develop a frontier AI model for healthcare, observers could see where Mayo’s expertise in advanced digital medicine would interest Microsoft. The Big Tech behemoth has not been coy about its healthcare ambitions.
Oral decongestants containing phenylephrine were found not to be effective. However, nasal sprays of the same drug are not subject to the FDA’s proposed order.
Samantha Maltin, a former marketing executive at Sesame Workshop, will now lead branding and public outreach initiatives at St. Jude Children's Research Hospital.
With generative AI coming into its own, AI regulators must avoid relying too much on principles of risk management—and not enough on those of uncertainty management.
There’s no shortage of resources for healthcare workers who wish they knew AI well enough to talk shop with the technology pros who develop the models. The problem is weeding through the offerings to get to what will really work for you.
Discussions of AI governance may cause many an eye to glass over, but the discipline is as crucial to the ascent of AI in healthcare as big training datasets drawn from diverse patient populations.