Ambient AI Scribes: Utilization and Impact on Documentation Practice

Presentation Time: 11:15 AM - 11:30 AM

Abstract Keywords: Documentation Burden, Large Language Models (LLMs), Informatics Implementation
Primary Track: Applications
Programmatic Theme: Clinical Informatics

This study examines the initial implementation and evaluation of an ambient digital scribe powered by large language models at Stanford Health Care. During the 3-month pilot period, the tool was utilized for over half of the encounters and resulted in decreased time spent on clinical documentation. Adoption of the tool and the resulting documentation practices varied between physicians, suggesting a need for further development of this technology to accommodate personal preferences to maximize its potential.

Speaker(s):
Stephen Ma, MD, PhD
Stanford University School of Medicine

Author(s):
Shreya Shah, MD - Stanford University; Margaret Smith, MBA - Stanford School of Medicine; April Liang, MD - Stanford University; Betsy Yang, MD - Stanford University; Yejin Jeong, BA - Stanford University; Anna Devon-Sand, MPH - Stanford University; Trevor Crowell, BA - Stanford University; Clarissa Delahaie, BAS - Stanford Health Care; Caroline Hsia, MEng - Stanford Health Care; Steven Lin, MD - Stanford University School of Medicine; Michael Pfeffer, MD - Stanford University; Christopher Sharp, MD - Stanford University School of Medicine; Patricia Garcia, MD - Stanford University, School of Medicine;