Peer-Reviewed Publication
JAMIA Open2025;8(1):ooaf013.February 1, 2025Journal Article
Enhancing clinical documentation with ambient artificial intelligence: a quality improvement survey assessing clinician perspectives on work burden, burnout, and job satisfaction.
Michael Albrecht1, Denton Shanks2, Tina Shah3, Taina Hudson1, Jeffrey Thompson4, Tanya Filardi5, Kelli Wright6, Gregory A Ator7, Timothy Ryan Smith8
1Department of Internal Medicine, University of Kansas Medical Center (KUMC), Kansas City, KS 66160, United States.
2Department of Family Medicine and Community Health, University of Kansas Medical Center (KUMC), Kansas City, KS 66160, United States.
3Abridge, Philadelphia, PA 19102, United States.
4Department of Biostatistics and Data Science, University of Kansas Medical Center (KUMC), Kansas City, KS 66160, United States.
5Department of Neurosurgery, University of Kansas Medical Center (KUMC), Kansas City, KS 66160, United States.
6Information Technology Services, University of Kansas Health System, Kansas City, KS 66160, United States.
7Department of Otolaryngology and Head and Neck Surgery, University of Kansas Medical Center (KUMC), Kansas City, KS 66160, United States.
8Department of Pediatrics, University of Kansas Medical Center (KUMC), Kansas City, KS 66160, United States.
Abstract
OBJECTIVE: This study evaluates the impact of an ambient artificial intelligence (AI) documentation platform on clinicians' perceptions of documentation workflow.
MATERIALS AND METHODS: An anonymous pre- and non-anonymous post-implementation survey evaluated ambulatory clinician perceptions on impact of Abridge, an ambient AI documentation platform. Outcomes included clinical documentation burden…
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