Related Experiment Video
Updated: Aug 6, 2026

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis (ALS)
Published on: February 21, 2011
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.
Background:
Documentation burden consumes an average of 31% of a nurse's 12-hour shift. This challenge necessitates nurse-led innovations to streamline charting and reclaim valuable time at the bedside.
Purpose:
This pilot program aimed to examine a nurse-led implementation of an artificial intelligence (AI)-powered voice documentation mobile application and evaluate outcomes related to documentation timeliness, application usage, patient experience, staff satisfaction, and incidental overtime.
Methods:
The six-month pilot was conducted on a 48-bed adult medical-surgical unit at a large academic medical center. It included 90 RNs and 33 certified nursing assistants. The mobile application enabled nursing staff to document directly into the electronic health record using voice commands. The project was guided by Kotter's eight-step change management model.
Results:
Documentation timeliness improved across all targeted tasks. Patient experience improved across all six Press Ganey domains, with percentile increases ranging from 7 to 41 points. Staff satisfaction survey results showed a majority agreed that the technology helped reduce documentation time. Usage grew from 14,231 documentation entries in January 2025 to over 35,000 by June. Incidental overtime decreased from an average of 97 to 48.5 hours per month.
Conclusion:
This pilot demonstrated that nurse-led implementation of an AI-powered voice documentation application can improve charting efficiency, patient experience, and staff outcomes. When nurses contribute to each stage of technology design and implementation, innovation thrives.
Related Concept Videos
Nursing Implementation
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning, patient...
Role of Communication in the Nursing Process III: Evaluation and Documentation
Methods of Documentation III: PIE
Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities
Nursing Evaluation
Section...