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 maker of popular GLP-1 agonists Wegovy and Ozempic said technology from OpenAI, the company behind ChatGPT, will allow it to sift through and make sense of massive datasets to identify potential new uses for its diabetes and obesity treatments.
Chapter, a technology company based in New York City, said it tripled its revenue last year by filling a market niche designing technology for seniors—specifically, those who have questions about the Medicare program.
The publicly traded EHR and cloud healthcare IT infrastructure company confirmed in a filing with the U.S. Securities and Exchange Commission that hackers were able to breach its network in March for roughly eight hours, gaining partial access to patient record stores. The incident is being investigated.
The policy shift by Aetna to reimburse hospital stays of fewer than five days as outpatient observation encounters went into effect in January. The insurer implemented the policy to reduce friction with hospitals that previously had to seek approval for inpatient reimbursement, which was often denied. Jefferson Health is challenging the changes in court.
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.