Date of Award
Summer 7-20-2025
Document Type
Scholarly Project
Degree Name
Doctor of Nursing Practice (DNP)
First Advisor
Robin Kirschner, EdD, DNP, RN, NEA-BC, CNL, CNE
Second Advisor
Kellie Creaser, DNP, PMHNP-BC, FNP-C
Abstract
Practice Problem: Traditional documentation practices place a significant burden on psychiatric mental health nurse practitioners (PMHNP) in outpatient mental health clinics (MHC), contributing to provider burnout and negatively impacting the patient-provider relationship. Preserving practicing PMHNPs is essential across the United States, but imperative in medically underserved areas where mental health services are limited.
PICOT: In PMHNPs (Population), does the use of AI scribing software (Intervention) compared to traditional documentation methods (Comparison) reduce documentation time and increase provider satisfaction (Outcome) over a ten-week period (Time)?
Evidence: This Doctor of Nursing Practice (DNP) scholarly project was informed by evidence obtained from 15 articles, including one randomized controlled trial, four quasi-experimental studies, seven non-experimental or qualitative studies, and three expert opinions or case studies. The body of evidence supported the use of AI scribes to reduce documentation time, improve documentation quality, and enhance the experience of both patients and providers.
Intervention: AI scribing software was employed to improve documentation efficiency for a PMHNP at an outpatient MHC. Efficiency was evaluated by measuring documentation time, documentation quality, and user satisfaction.
Outcome: The use of AI scribing software led to an average reduction of 4 minutes and 47 seconds per note and a 2.23% improvement in documentation quality, both of which were found to be statistically significant by the Mann-Whitney U test. Additionally, results from a 5-point Likert scale survey indicated user satisfaction and the intention to continue using the AI scribe after project completion.
Conclusion: This pilot DNP project supports the use of AI scribing software as a strategy to reduce documentation time while improving documentation quality and potentially alleviating burnout experienced by PMHNPs in outpatient MHCs.
Recommended Citation
Moore, E. A. (2025). Implementation of Artificial Intelligence for Scribing in an Outpatient Mental Health Clinic. [Doctoral project, University of St Augustine for Health Sciences]. SOAR @ USA: Student Scholarly Projects Collection. https://doi.org/10.46409/sr.YLXR8882
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Included in
Health Information Technology Commons, Psychiatric and Mental Health Commons, Quality Improvement Commons
Comments
Scholarly project submitted to the University of St. Augustine for Health Sciences in partial fulfillment of the requirements for the degree of Doctor of Nursing Practice.