Integrating AI into the electronic medical record can make patient data more usable and dependable for end-users, according to a review of the relevant scientific literature published this month in the American Journal of Clinical and Medical Research.
Generative AI of the “large language” kind has been an attention hog over the past 10 or 11 months. The buzz has been so loud and constant that it’s all but asking to be dismissed as hype.
Do you know who owns your personal favorite doctor’s practice? Could it be a healthcare conglomerate? An insurance company? A private equity firm? Amazon?
It’s easy to see the appeal of cross-market hospital mergers to the marrying partners. How these long-distance entwinements help patients is a separate question.
The final list also included diabetes drugs sold by Boehringer Ingelheim and Merck. The first round of drug price negotiations reduced the Medicare prices for 10 popular drugs by up to 79%.
HHS has thought through the ways AI can and should become an integral part of healthcare, human services and public health. Last Friday—possibly just days ahead of seating a new secretary—the agency released a detailed plan for getting there from here.
Philips is recalling the software associated with its Mobile Cardiac Outpatient Telemetry devices after certain high-risk ECG events were never routed to trained cardiology technicians as intended. The issue, which lasted for two years, has been linked to more than 100 injuries.
