Toward Relieving Clinician Burden by Automatically Generating Progress Notes

This talk from the Stanford University MedAI Group Exchange Sessions features Dr. Sarvesh Soni discussing innovative approaches to automatically generate progress notes from electronic health record data. Learn about a novel framework designed to alleviate clinician burden by automating the creation of SOAP notes using structured patient chart data. Dr. Soni, a Research Fellow at the National Library of Medicine, presents baseline evaluations using large language models and proposes a hybrid framework that leverages web-based LLMs in a privacy-preserving manner to overcome limitations of local models. The presentation addresses key challenges in clinical natural language processing and outlines promising directions for future research in this field. The 54-minute session includes an interactive discussion and Q&A, representing part of Stanford's weekly MedAI series that critically examines the intersection of artificial intelligence and medicine.