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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 hospital course of stay. About 60% of our usage is via automations.
- via a user interface, which is available as a tab inside of Epic Hyperspace to allow care providers (clinicians, nurses, pharmacists) to ask questions of a given patient's medical record. About 40% of usage is via the UI.
This ArXiv submission describes 7 automations and 1075 users have trained to become routine users of the UI, engaging in 23,000 sessions in the first 3 months of launch. Below is what users say …
Testimonials
News coverage
Origin story
- Apr 06, 2023 - Data Science team sets up SHCOpenAISandbox at http://goto.stanford.edu/shcopenaisandbox
- Aug - 2023 - Work begins on setting up securegpt.stanfordhealthcare.org
- Nov 01, 2023 - chatEHR is conceptualized at TDS while building https://securegpt.stanfordhealthcare.org/
- Nov 08, 2023 - A working demo is created by a student as an AI-CARE project.
- Jan 29, 2024 - SecureGPT, launched for Stanford School of Medicine and Stanford Health Care
- Jan - March, 2024 - Proof of concept work in ENT referral and Nursing summarization using SecureGPT.
- May - 2024 - the concept of using an LLM in context with a single patient record is fleshed out
- June 10, 2024 - second demo and prototype
- June 19, 2024 - presentation to Data Science Exec Committee, and permission to build
- July 2024 - First automation use-case implemented to automate chart review for inter-facility transfers
- Aug 15, 2024 - Backend architecture overhaul
- Aug 23, 2024 - Alpha testers get access to the UI
- Jan - 2025 - First user gets access for UI
- June 5, 2025 - Announcement of the pilot, with 30+ active users
- July 2, 2025 - Ramp up to 89 users (clinicians, nurses, residents, fellows, PAs, care managers, MD students)
- Aug 1, 2025 - Pilot ramped up to ~150 users, and closed new enrollment into the pilot
- Sept 9, 2025 - Broad roll out to all providers, and APPs.