Ben Warner
@bencwarnerML for Health | CS Ph.D. Student @AIHealthWashU @WUSTL | he/him
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@_shinnew__
💡Congratulations to Seunghwan (Nigel) Kim, @bencwarner, @DrDaphneLew, @SunnyLouMD, and @TKannampallil on their recent publication in @jamia_journal! Learn more here: academic.oup.com/jamia/advance-… #WashUMed
We conceptualized “action-as-language” and characterized clinician behaviors using a language model based on audit log action sequences.Led by #NigelKim along with @bencwarner @SunnyLouMD @DrDaphneLew Published in @jamia_journal: academic.oup.com/jamia/advance-…
New JAMIA paper from my collaborators and I using language models trained on EHR audit log data to measure behavior, action changes, and much more! Go check it out here:
We conceptualized “action-as-language” and characterized clinician behaviors using a language model based on audit log action sequences.Led by #NigelKim along with @bencwarner @SunnyLouMD @DrDaphneLew Published in @jamia_journal: academic.oup.com/jamia/advance-…
Our new work: jamanetwork.com/journals/jaman… showed that for resident physicians, secure messaging use was linked with an increase in telephone use. Results suggest that use of EHR-integrated messaging channels do not replace of existing channels, but add to the communication burden.
Excited to share new work on surfacing health equity-related biases in LLMs. We design rubrics covering 6 dimensions of bias, release EquityMedQA, a collection of 7 adversarial datasets, and conduct a large-scale human evaluation study with Med-PaLM 2. arxiv.org/abs/2403.12025
just setting up my twttr 👋 Interested in the frontier of #AI and #healthcare? Follow us to keep up with the groundbreaking research here at the @WUSTL Al for Health Institute.
New publication out! We used mobile phone data to explore changes in consumption to unhealthy food due to COVID-19: Using Mobile Phone Data to Assess Socio-Economic Disparities in Unhealthy Food Reliance during the COVID-19 Pandemic | Health Data Science spj.science.org/doi/10.34133/h…
I’ll be presenting a #ML4H2023 Findings paper I worked on with @TKannampallil and Seunghwan Kim done @WashUi2db tomorrow. Come visit me at poster session 2 if you’re interested in tabular LMs for Epic EHR audit logs! huggingface.co/papers/2311.06…
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