Enhancing Clinical Documentation with Ambient Artificial Intelligence: A Quality Improvement Survey Assessing Clinician Perspectives

2/1/2025 • JAMIA Open • License: CC BY 4.0

D. Albrecht (University of Kansas Medical Center)

Abstract

Objective: To assess clinician perspectives on ambient artificial intelligence (AI) used to enhance clinical documentation workflows at a large academic medical center. Methods: A quality improvement survey was administered at the University of Kansas Medical Center following implementation of an ambient AI documentation system. Clinician perspectives were evaluated across workflow ease, perceived impact on patient care, and overall satisfaction. Results: Clinicians were 7 times more likely to report that their workflow was easy (OR=6.91). 81% of respondents found the workflow easy, and 77% felt that patient care improved with ambient AI. Conclusions: Ambient AI for clinical documentation is perceived positively by clinicians, with improvements in workflow ease and perceived patient care quality. Further study is needed to examine long-term outcomes and specialty-specific considerations.

Source: View original

Clinical implications

Clinicians reported easier workflows and perceived improvements in patient care with ambient AI documentation at an academic medical center.

This product uses publicly available data from the U.S. National Library of Medicine (NLM), National Institutes of Health, Department of Health and Human Services; NLM is not responsible for the product and does not endorse or recommend this or any other product. Links to third-party publications are provided for research discovery.