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        <description>HealthAdminBench: Evaluating Computer-Use Agents on Realistic Healthcare Administration Tasks

Healthcare administration accounts for $1 trillion of annual spend, representing an ideal application for LLM-based computer-use agents. While clinical applications of LLMs have received significant attention, no benchmark currently exists for evaluating LLMs on end-to-end administrative workflows. To address this gap, we introduce HEALTHADMINBENCH, which consists of four realistic</description>
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        <description>Informatics Consultation Service at Stanford

The Informatics Consultation service was an IRB approved project to study the use of routinely collected data on millions of individuals to provide on-demand evidence in those situations where good evidence is lacking. We informed clinical care decisions by summarizing “what happened to patients like mine” in the form a report with a descriptive summary of similar patients in Stanford’s clinical data warehouse, treatment choices made, and observed ou…</description>
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        <description>ChatEHR is a set of capabilities developed at Stanford Medicine, for using a set of Large Language Models (LLMs) with a single patient's longitudinal medical chart in context. There are two ways to use the ChatEHR capability:

	*  via a fixed prompt automation, which applies an existing set of criteria to a patient's record and returns a response based on that patient's record. Examples include decisions about transfer eligibility, referrals to certain services, and creating summaries of a hospi…</description>
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        <description>Lab Members

	*  Nigam Shah (PI)
	*  Alison Callahan (Research Scientist)
	*  Akshay Swaminathan (DBDS, 4th year MD / PhD student)
	*  Suhana Bedi (DBDS, 2nd year PhD student)
	*  Alyssa Unell (CS, 2nd year PhD student)
	*  Bobak Seddighzadeh (CI Fellow)
	*  Brenna Li (Postdoc)
	*  Lionel Jeremiah (Administrative Associate)</description>
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        <description>Dr. Nigam H. Shah, MBBS, PhD.

Titles: 

Professor of Medicine, and of Biomedical Data Science

Chief Data Scientist, Stanford Healthcare

Associate Dean, School of Medicine

Associate Director, Stanford Center for Biomedical Informatics Research

Affiliations:</description>
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        <description>There are multiple efforts on campus that focus on AI, Data Science and Digital innovation in Healthcare. Below is a listing of the ones I know.

Efforts in SOM

	*  Center for Artificial Intelligence in Medicine &amp; Imaging (AIMI), which aims to responsibly innovate and implement advanced AI methods and applications to enhance health for all.</description>
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