In much the same way people can chat with large language models like GPT-4, Stanford Health Care clinicians can now interact with a patient’s medical records through an artificial intelligence-backed software called ChatEHR. The technology, currently in a pilot stage, enables them to ask questions about a patient’s medical history, automatically summarize charts and perform other tasks. ChatEHR uses information from individual’s health records to provide its response.

AI can augment the practice of physicians and other health care providers, but it’s not helpful unless it’s embedded in their workflow and the information the algorithm is using is in a medical context, said Nigam Shah, MBBS, PhD, chief data science officer at Stanford Health Care, who led the team in developing the technology. ChatEHR is secure; it’s pulling directly from relevant medical data; and it’s built into the electronic medical record system, making it easy and accurate for clinical use.

The software has been in development since 2023, when a team of Stanford Medicine researchers led by Shah; Anurang Revri, vice president and chief enterprise architect for Stanford Health Care’s Technology and Digital Services; and others recognized the potential of large language models and were inspired to create something useful for clinicians.

ChatEHR opens up a new way for clinicians to interact with electronic health records in a more streamlined and efficient manner, whether that’s asking for a summary of the entire chart or retrieving specific data points relevant to the patient’s care, said Michael Pfeffer, MD, chief information and digital officer for Stanford Health Care and the School of Medicine, who helped lead the development and integration of the software. This is a unique instance of integrating LLM capabilities directly into clinicians’ practice and workflow. We’re thrilled to bring this to the workforce at Stanford Health Care.

Source: https://med.stanford.edu/news/all-news/2025/06/chatehr.html#:~:text=%E2%80%9CChatEHR%20can%20help%20them%20get,with%20the%20patient's%20medical%20record.%E2%80%9D