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The potential for LLM #AI to do accurate triage in the emergency department for patient acuity JAMA Network Open Atul Butte jamanetwork.com/journals/jaman…

Out today in JAMA Network Open! Cross-sectional study w/ 10 000 pairs of ED visits, OpenAI GPT accurately identified the patient w/ higher acuity when given pairs of deidentified presenting histories. Work by Chris Williams Travis Zack Brenda Miao Madhumita Sushil Michelle Wang

In one of the first studies to test whether AI can help triage real-world ER patients, new UCSF research suggests AI could one day help doctors make one of the most critical decisions in medicine: who to give urgent medical care to first sfchronicle.com/health/article… via San Francisco Chronicle

Tune into ABC7 News live at 5.30 pm PT tonight where I'll be discussing our findings abc7news.com/watch/11065007/ Atul Butte

Eric Topol JAMA Network Open Atul Butte We commend Chris Williams Atul Butte and team on this new work. In this JAMA Network Open editorial we offer some thoughts on the study's promising findings and important caveats for advancing this important area of work @AriBFriedman Gary Weissman jamanetwork.com/journals/jaman…

#AI can help triage patients in emergency departments, a study in JAMA Network Open finds. But lead author Dr. Christopher Williams cautions: “First we need to know if it works & understand how it works, & then be careful & deliberate in how it is applied." ucsfh.org/3UOoOxF

Excited to be at AMIA #CIC24 in Minneapolis this week alongside an incredible UCSF Health UCSF DoC-IT team, giving a talk on how #LLMs can be used to identify barriers to optimal patient care #qualityimprovement Join us at 9.30 am CT Wednesday in Marquette 2&3!

PhD exit talk by Brenda Miao Brenda Miao happening on Thursday 2pm UC San Francisco Byers Auditorium, with reception to follow! Join us in celebrating Brenda's PhD work! Uncovering Strategies For Personalized Treatment Selection Using Large Language Models Healthcare data has never been so

Thanks to KCBS 106.9 FM/740 AM for having me on air!

Excited to announce our latest paper "Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset" published today! Tom Edinburgh Paul Elbers AriErcole dx.plos.org/10.1371/journa…

UCSF's Town Hall this Friday, 7/12 will include Bakar postdoc Chris Williams "How AI Can Help Emergency Department Prioritization" - new time at 12-1pm. Tune in! coronavirus.ucsf.edu/town-halls#Tow… His recent work: ucsf.edu/news/2024/05/4…

Excited to announce our latest paper "Enhancing emergency department charting: Using Generative Pre-trained Transformer-4 (GPT-4) to identify laceration repairs"! Congrats to Karan Bains and the rest of the team! Atul Butte Aaron Kornblith onlinelibrary.wiley.com/doi/10.1111/ac…

#AI is helpful in an ER setting but shouldn't be blindly trusted, UCSF’s Dr. Chris Williams tells KRON4 News. It can help answer exam questions & draft notes—"but it’s not currently designed for situations that call for multiple considerations," he explains. ucsfh.org/3U5bhRF

Excited to be at #AMIA2024 in SF this week, giving two talks (both today!): ➡️ Evaluating Large Language Models for Drafting ED Discharge Summaries ➡️ Utilizing GPT-4 to determine reasons for missed follow-up colonoscopy following abnormal non-invasive colorectal cancer screening

Standing room only and multiple hallway spillovers in these LLM talks! #AMIA2024 AMIA with talks on #Gatortron, generating DC summaries Chris Williams UCSF Health, HTN NLP Jiancheng Ye, extracting #SDOH by Tim @IAIM_NU Yuan Luo 🎉

Chris Williams presenting our results on use of GPT to find out why patients are not getting follow up colonoscopies after a positive FIT test #quality #AI with Urmimala Sarkar, MD, MPH Julia Adler-Milstein funded by The Doctors Company UCSF DoC-IT

Thrilled to announce our latest paper 'Physician- and Large Language Model–Generated Hospital Discharge Summaries', out today in JAMA Internal Medicine!