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What would it be like to chat with health records the way one could with ChatGPT?
Initially posed by a medical student, this question sparked the development of ChatEHR at Stanford Health Care. Now in production, the tool accelerates chart reviews for emergency room admissions, streamlines patient transfer summaries and synthesizes information from complex medical histories.
In early pilot results, clinical users have experienced significantly sped-up information retrieval; notably, emergency physicians saw 40% reduced chart review time during critical handoffs, Michael A. Pfeffer, Stanford’s SVP and chief information and digital officer, said today in a fireside chat at VB Transform.
This helps to decrease physician burnout while improving patient care, and builds upon decades of work medical facilities have been doing to collect and automate critical data.
“It’s such an exciting time in healthcare because we’ve been spending the last 20 years digitizing healthcare data and putting it into an electronic health record, but not really transforming it,” Pfeffer said in a chat with VB editor-in-chief Matt Marshall. “With the new large language model technologies, we’re actually starting to do that digital transformation.”
How ChatEHR helps reduce ‘pajama time,’ get back to real face-to-face interactions
Physicians spend up to 60% of their time on administrative tasks rather than direct patient care. They often put in significant “pajama time,” sacrificing personal and family hours to complete administrative tasks outside of regular work hours.
One of Pfeffer’s big goals is to streamline workflows and reduce those extra hours so clinicians and administrative staff can focus on more important work.
For example, a lot of information comes in through online patient portals. AI now has the ability to read messages from patients and draft responses that a human can then review and approve for sending.
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