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AI-Powered Voice Documentation: A Nurse-Led Pilot Program

Ryan Trias1, Bernice Coleman, Cynthia Bowers

  • 1Ryan Trias is a nurse professional development practitioner, surgical nursing, at Cedars-Sinai Medical Center in Los Angeles, CA, where Bernice Coleman is director of nursing research and quality and an associate professor of biomedical sciences; Scott Mondejar is an assistant nurse manager, surgical nursing; Golda Morales is an associate director, surgical nursing; and Peachy Hain is the executive director of surgical nursing. Cynthia Bowers is an associate professor at the University of Indianapolis School of Nursing, Indianapolis, IN. Contact author: Ryan Trias, ryan.trias@cshs.org. The authors have disclosed no potential conflicts of interest, financial or otherwise.

The American Journal of Nursing
|July 23, 2026
PubMed
Summary

Nurse-led implementation of AI voice documentation improved charting efficiency and patient experience. This innovation reduced overtime and increased staff satisfaction by streamlining clinical documentation.

Keywords:
artificial intelligencechange modeldocumentation burdennursing innovationpatient experiencevoice documentation

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