List of ChatEHR Customers
Pleasanton, 94566 , FL,
United States
Since 2010, our global team of researchers has been studying ChatEHR customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased ChatEHR for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using ChatEHR for Chatbots and Conversational AI include: Stanford Health Care, a United States based Healthcare organisation with 11891 employees and revenues of $8.95 billion, Stanford Medicine, a United States based Healthcare organisation with 18000 employees and revenues of $8.90 billion and many others.
Contact us if you need a completed and verified list of companies using ChatEHR, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The ChatEHR customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Stanford Health Care | Healthcare | 11891 | $9.0B | United States | In-House Applications | ChatEHR | Chatbots and Conversational AI | 2023 | n/a |
In 2023 Stanford Health Care developed ChatEHR, an in-house conversational AI embedded into its electronic health record. ChatEHR is categorized as Chatbots and Conversational AI and lets clinicians query charts, generate summaries, and automate evaluative tasks to speed chart review and transfer decisions for patient care.
The implementation emphasized core functional modules typical of conversational clinical assistants, including natural language chart query, automated clinical summarization, and evaluative task automation to support disposition and transfer workflows. Configuration work focused on clinical context extraction, prompt tuning for clinician queries, and controls for scope of automation to keep decisioning within clinician oversight.
Integration work connected ChatEHR to Stanford Health Care's EHR patient record streams and role based access controls so the assistant could surface chart data, visit notes, and problem lists within clinician workflows. The project entered a controlled pilot in 2025 with roughly 33 clinicians in California, United States, targeting chart review and interfacility transfer decision points as the primary operational scope.
Governance emphasis included clinician safety review, iterative feedback loops from pilot users, and data access policies to align conversational outputs with clinical documentation standards. Rollout and workflow restructuring prioritized phased piloting, clinician training in conversational query patterns, and mechanisms to capture clinician edits for ongoing model and prompt governance.
|
 |
Stanford Medicine | Healthcare | 18000 | $8.9B | United States | In-House Applications | ChatEHR | Chatbots and Conversational AI | 2025 | n/a |
In 2025 Stanford Medicine deployed ChatEHR, a homegrown Chatbots and Conversational AI application that enables clinicians to perform voice based queries and conversational interactions with the electronic health record. ChatEHR is built on large language model techniques similar to GPT-4 and uses information from an individual patient record to generate responses and summaries in natural language.
The implementation focuses on functional capabilities typical of clinical conversational agents, including automated chart summarization, retrieval of longitudinal record elements, and conversational point of care queries to support chart review workflows. ChatEHR is designed to surface specific data points and condensed narrative summaries to streamline routine documentation review, the functionality explicitly excluding provision of medical advice or clinical decision support.
ChatEHR was integrated directly with Stanford Health Care's Epic electronic health record to enable secure access to patient data for query responses and summarization. The deployment is currently a controlled pilot at Stanford Hospital limited to about 30 clinicians, including physicians, nurses, physician assistants and nurse practitioners, who are acting as accuracy monitors and feedback contributors to refine the model and prompt handling.
Governance for the pilot emphasizes human oversight and iterative model refinement, with clinical monitoring in place to validate outputs and restrict use cases away from diagnostic guidance. Dr Michael Pfeffer, chief information and digital officer, participated in development and integration oversight to align the tool with clinician workflows. Stanford Medicine states the hope that ChatEHR will reduce administrative burden and save clinician time at the point of care while maintaining safeguards against clinical decision support use.
|
Buyer Intent: Companies Evaluating ChatEHR
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||