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.
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.
On Tuesday, a judge formally rejected a motion by the company to have the case dismissed. Carelon Behavioral Health, a subsidiary of Elevance, is accused of publishing an inaccurate directory of providers for those seeking mental health services.
The cloud infrastructure company said in a recent investor meeting that its heavy spending on AI has been complicated by the global GPU and CPU shortage. Some 10,000 workers have reportedly been laid off, but the true number is unknown.
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.
For whatever reason, the grownups seem to get all the attention when talk turns to AI in healthcare. All the kiddos get to do is look on and listen in. Now comes a worthy little effort to balance the seesaw.