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The new algorithm from Implicityevaluates implantable device data and monitors patients for changes that suggest they could experience severe heart failure symptoms in the near future. It was designed to alert clinicians up to weeks in advance.
The Rand Corporation is reporting that, in 2022, employers and private insurers paid hospitals an average 254% more than what Medicare would have spent for the same services in the same facilities.
Four of five hospital leaders trust the accuracy of their institution’s data. Yet almost half of useable data gets underutilized if not completely untapped for guiding business and clinical decisions.
Medicare’s Hospital Insurance (HI) Trust Fund has the wherewithal to pay the full bill for beneficiaries’ stays in hospitals, hospice sites and skilled nursing facilities for the next 12 years. But what then?
At a time when patient assaults against nurses are reportedly on the rise, cases that invert the equation only reinforce the public’s perception that hospitals are chaotic places.
In its annual outlook report released this week, Fitch Ratings says the coming calendar year will probably strike much of the sector as “another make or break” period.
It may hold that applying established people/process/technology principles can help hospitals move AI from experimental research settings to regulated clinical practice.
The agency is urging healthcare providers to transition away from these devices and seek out alternatives. It is even working with other manufacturers to try and get similar products on the market as quickly as possible.