Dr. Jayne Curbside Consult 6/9/25 – HIStalk
- Stanford Medicine is developing ChatEHR,an AI-driven platform designed to streamline how clinicians access and utilize data within electronic health records (EHR).
- The ChatEHR platform aims to provide quick and effective querying of medical records, a capability that could significantly benefit clinicians.
- Early experiences with EHRs showed that summary screens, tables, and dashboards have limitations in capturing narrative information found in provider notes.
Stanford Medicine’s ChatEHR platform represents a meaningful leap forward in healthcare IT, utilizing AI to revolutionize how clinicians access and use electronic health record (EHR) data. The platform directly addresses the challenges clinicians face managing complex EHR systems by offering fast and effective data querying. This innovative approach aims to improve access to narrative details often buried within provider notes, wich is critical for better patient care. Early tests wiht Stanford Hospital clinicians show promise, hinting at the potential to reduce details-seeking fragmentation and enhance decision-making. Unlike vendor-driven systems,ChatEHR allows for tailored integration of various data sources,including legacy records. News Directory 3 highlights the progress. Discover what’s next as ChatEHR develops automated tasks and expands across stanford Medicine.
Stanford’s ChatEHR Platform aims to Revolutionize EHR Data Access
Updated June 09,2025
Stanford Medicine is developing ChatEHR,an AI-driven platform designed to streamline how clinicians access and utilize data within electronic health records (EHR). The initiative seeks to address the increasing complexity of EHR systems and the challenges they pose to efficient patient care.
The ChatEHR platform aims to provide quick and effective querying of medical records, a capability that could significantly benefit clinicians. The goal is to improve access to narrative details often buried within provider notes, which can be crucial for understanding a patient’s condition.
Early experiences with EHRs showed that summary screens, tables, and dashboards have limitations in capturing narrative information found in provider notes. Harnessing AI to improve access to this information could provide real value, according to project leaders.
The platform is reminiscent of having a human scribe, anticipating questions and quickly locating answers. The goal is to reduce the fragmentation of thought processes that occur when clinicians must concurrently search for information while interacting with patients and care teams.
Unlike vendor-driven approaches, chatehr allows for the incorporation of local customizations and data from various sources, including different EHRs, legacy records, health information exchanges, and state registries.
Currently, ChatEHR is in limited use, with just over 30 clinicians at Stanford Hospital providing feedback on its performance and usability. The team plans to expand the rollout to other clinicians within the organization.
The development team is also working on automated tasks, such as evaluating records of potential transfer patients and assessing patients for hospice placement.
A key feature under development is the inclusion of metadata or citations to identify the origin of data within summaries, which is considered essential for gaining clinicians’ trust.
what’s next
The Stanford team will continue to refine ChatEHR based on clinician feedback, focusing on expanding its functionality and ensuring its reliability. Broader implementation across Stanford Medicine facilities is planned, with ongoing development of automated tasks to further enhance its utility.