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ChatEHR, is a system that enables the use of LLMs with the entire patient timeline spanning several years. ChatEHR enables automations - which are static combinations of prompts and data that perform a fixed task - and interactive use in the electronic health record (EHR) via a user interface (UI). The resulting ability to sift through patient medical records for diverse use-cases such as pre-visit chart review, screening for transfer eligibility, monitoring for surgical site infections, and chart abstraction, redefines LLM use as an institutional capability. This system, accessible after user-training, enables continuous monitoring and evaluation of LLM use.
ArXiv submission: https://arxiv.org/abs/2602.00074
News coverage
Origin story
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Aug - 2023 - Work begins on setting up securegpt.stanfordhealthcare.org
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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.