Related Experiment Videos
Tracing the Pen: Electronic Health Records Amid the Rise of Generative AI
Arash A Nargesi1,2,3, Jacqueline G You4,5, Danielle S Bitterman5,6,7
1Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Abstract:
Large language models (LLMs) are poised to transform physician interactions with electronic health records (EHRs) by assisting clinical documentation, drafting preliminary diagnostic reports, and supporting patient communication. While LLMs reduce administrative burden, their integration in clinical workflows introduces the risk of blending AI- and human-generated content within EHRs. This perspective reviews technological and policy solutions to ensure traceability of AI-generated content in EHRs to preserve clinical integrity.
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Methods of Documentation VII: EMR
Purpose of Health Records II
Purpose of Health Records I
Here's a breakdown of how health records serve these purposes:
Non-equilibrium in the Cell
Current Trends in Nursing II