![]() ![]() ![]() ![]() The new technology might help lighten those burdens. “What happens if the patient comes into the hospital and there’s a note that hasn’t been completed and we don’t know what’s been going on?” “When people are way behind in documentation, that creates problems,” Arzubi said. But it’s necessary to develop a record for future providers and, of course, insurers. Writing these notes is one of the big stressors in the health system: In the aggregate, it’s an administrative burden. Time and again, he’d get a list of providers who hadn’t yet finished their notes - their summaries of a patient’s condition and a plan for treatment. Still, those who are bullish on the tech think it’ll make some parts of their work much easier.Įric Arzubi, a psychiatrist in Billings, Montana, used to manage fellow psychiatrists for a hospital system. “The hype over these systems - even if everything we hope for is right long term - is totally out of control for the short term,” he said for a March article in The New York Times.įew in health care believe this latest form of AI is about to take their jobs (though some companies are experimenting - controversially - with chatbots that act as therapists or guides to care). Former Treasury Secretary Larry Summers tweeted recently: “It’s going to replace what doctors do - hearing symptoms and making diagnoses - before it changes what nurses do - helping patients get up and handle themselves in the hospital.”īut just weeks after OpenAI took another huge cash infusion, even Altman, its CEO, is wary of the fanfare. Other startups are considering selling AI transcription or other products to hospital systems or directly to patients. Right now, the company is licensing its technology to companies like Microsoft and selling subscriptions to consumers. But a new $10 billion round of funding from Microsoft has pushed the value of OpenAI to $29 billion, The Wall Street Journal reported. The venture has a complex, hybrid for- and nonprofit structure. OpenAI, started as a research venture seeded by Silicon Valley elites like Sam Altman, Elon Musk, and Reid Hoffman, has ridden the enthusiasm to investors’ pockets. It can explain genetics in a sonnet, for example. The frenzy was kicked off in December 2022 by Microsoft-backed OpenAI and its flagship product, ChatGPT, which answers questions with authority and style. The idea has been around for years, but the gold rush, and the marketing and media mania surrounding it, are more recent. The underlying technology relies on synthesizing huge chunks of text or other data - for example, some medical models rely on 2 million intensive care unit notes from Beth Israel Deaconess Medical Center in Boston - to predict text that would follow a given query. The specter of such problems inspired more than 1,000 technology leaders to sign an open letter in March urging that companies pause development on advanced AI systems until “we are confident that their effects will be positive and their risks will be manageable.” Even so, some of them are sinking more money into AI ventures. “Its capabilities will ultimately have a big impact.” Topol, like many other observers, wonders how many problems it might cause - like leaking patient data - and how often. “There’s something afoot that’s pretty exciting,” said Eric Topol, director of the Scripps Research Translational Institute in San Diego. The companies want their AI to take notes for physicians and give them second opinions - assuming they can keep the intelligence from “hallucinating” or, for that matter, divulging patients’ private information. Big firms that are familiar to folks in white coats - but maybe less so to your average Joe and Jane - are equally enthusiastic: Electronic medical records giants Epic and Oracle Cerner aren’t far behind. What use could health care have for someone who makes things up, can’t keep a secret, doesn’t really know anything, and, when speaking, simply fills in the next word based on what’s come before? Lots, if that individual is the newest form of artificial intelligence, according to some of the biggest companies out there.Ĭompanies pushing the latest AI technology - known as “generative AI” - are piling on: Google and Microsoft want to bring types of so-called large language models to health care. This article was originally featured on KFF Health News. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |