Ambient Artificial Intelligence Scribe Adoption and Documentation Time in the Emergency Department
Early ED implementation of ambient AI scribes showed low but highly skewed adoption, with physicians favoring lower acuity, noninterpreted encounters. When used, ambient AI was associated with shorter on-shift documentation time, total electronic health record time, and note length.
Authors
- Christian Rose (ORCID: https://orcid.org/0000-0002-5115-649X)
- Ian Brown (ORCID: https://orcid.org/0000-0003-0656-2621)
- Neetha Sama
- Maia Winkel
- Mia Karamatsu
- Luke Morris
- Anna Frye
- Eileen Wahl
- Allie Gubbels
- Jae-yeon Lee
- Al’ai Alvarez
- Carl Preiksaitis
Institutions
- Stanford Health Care (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Annals of Emergency Medicine
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1016/j.annemergmed.2025.12.017
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 17.70