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 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.
Around the world, 3 of 4 workers who routinely handle information are now using generative AI on the job. And almost half of them are new to the technology, having begun using it only over the past half-year.
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.
Hospital employment models, reimbursement policies and private equity have all led to a massive reduction in the number of cardiologists working for a private practice, ACC President Cathie Biga, MSN, told Cardiovascular Business.
Commercial health insurers tend to reimburse providers considerably more per service than their governmental counterparts. However, they’re also much more likely to initially deny claims.
The National Science Foundation (NSF) is setting up seven new institutes for studying foundational AI. Two of the initiatives have healthcare as a prime focus.
Every industry on earth is buzzing over the promise and potential of ChatGPT and similarly sharp AI models, whether “large language” or another generative form. Healthcare is no exception. But shouldn’t it be?
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.