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 [[https://arxiv.org/abs/2602.00074 | 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 =====

{{ ::chatehr-testimonials.png?nolink  }}


===== News coverage =====

  - [[https://www.statnews.com/2026/01/28/stanford-research-ai-validation-tools-ai-prognosis/| Stanford’s health AI validation tools you should know about]]
  - [[https://www.statnews.com/2026/01/28/stanford-penn-hospitals-build-electronic-health-record-chatbots/ | Why some hospitals are making their own ChatGPTs for patient records]]
  - [[https://med.stanford.edu/news/all-news/2025/06/chatehr.html|Stanford News - Clinicians can ‘chat’ with medical records through new AI software, ChatEHR]]
  - [[https://news.stanford.edu/stories/2025/06/ai-medical-records-chat-ehr|AI lets clinicians ‘chat’ with medical records]]
  - [[https://www.mobihealthnews.com/news/stanford-medicines-chatehr-expedites-chart-review-process|MobiHealthNews - Stanford Medicine's ChatEHR expedites the chart review process]]
  - [[https://www.healthcareitnews.com/news/new-chatehr-tool-enables-clinical-conversation-stanford|HealthcareITNews - New 'ChatEHR' tool enables clinical conversation at Stanford]]
  - [[https://www.beckershospitalreview.com/healthcare-information-technology/ai/stanford-pilots-chatehr/|Becker's - Stanford pilots ChatEHR]]
  - [[https://yesilscience.com/stanford-medicine-introduces-chatehr-for-efficient-chart-reviews/|Stanford Medicine Introduces ChatEHR for Efficient Chart Reviews]]
  - [[https://www.medicaleconomics.com/view/stanford-s-chatehr-lets-doctors-talk-to-the-chart-and-it-talks-back|Stanford’s ChatEHR lets doctors talk to the chart — and it talks back]]

===== Origin story =====

  * Apr 06, 2023 - Data Science team sets up SHCOpenAISandbox at [[http://goto.stanford.edu/shcopenaisandbox|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/|https://securegpt.stanfordhealthcare.org/]]
  * Nov 08, 2023 - A working demo is created by a student as an [[https://shahlab.stanford.edu/ai-care|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.