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Table of Contents
ChatEHR is a vendor-agnostic, internally governed platform that places the full longitudinal patient record—up to twenty million tokens—directly into a model's context window in real time. It is accessible both through an interface embedded in the EHR (40% usage) and through APIs (60% usage) that automate high-volume rote tasks. This ArXiv submission describes the usage in the first 3 months of launch.
Automations
Automations are fixed prompts applied to defined sets of patients, and performance is quantified using a clinician-curated gold-standard truth set and impact is measured during monitoring. There are seven automations for which information is publicly available.
- Streamline patient screening, which turns a 5 to 20 minutes chart review into near-real-time eligibility insights. Each day the automation narrows 150 patient charts to roughly 30 highly probable cases reducing screening time and helping appropriately fill SN1’s 24 beds, relieve capacity pressure, and getting patients to the right care setting faster.
User Interface
When users open a ChatEHR tab in the EHR, they first see a welcome menu (left) to select which patient data to load into context for the LLM, by selecting data sources and a time range. After launching ChatEHR, they see a chat window (right) where they can submit queries and receive responses, provide feedback (thumbs up/down), or start a new session by returning to the welcome menu.
Testimonials
The UI pilot concluded in June 2025, with a total of 150 users, 3000 chat sessions, and dozens of testimonials (below) and led to a full enterprise roll out in Sept 2025. In the first 3 months, 1075 users completed the training video and engaged in over 23,000 sessions with over 19B tokens processed. 180 APPs, 424 physicians, 151 residents, and 60 fellows used the UI at least once in the first 3 months of launch.
Current usage
The panels below show current usage as of July 2026. The top left panel shows usage by role and to top right shows usage by service line. The bottom left panel shows usage by time and day of week, and the bottom right panel shows the top 20 tasks performed by the users.
Our Journey
ChatEHR was made possible by embedding the data science team, which includes software engineers, product managers, and data scientists with direct access to academic researchers, in the IT organization. Because of this set up, what began as a sandbox in April 2023 was conceptualized as ChatEHR in November 2023, underwent multiple prototypes by mid-2024, leading to a pilot in early 2025 that scaled to 150 clinical users by August 2025, and a health system-wide roll out by September 2025.
News coverage
