Date of Award
Summer 7-13-2025
Document Type
Scholarly Project
Degree Name
Doctor of Nursing Practice (DNP)
First Advisor
Janice Dunlap, DNP, ARNP, AGPCNP-BC, ACNS-BC
Second Advisor
Bryleigh Carver, DNP, FNP-BC
Third Advisor
Carmella Walling, MSN, FNP-BC
Abstract
Practice Problem: Completion of electronic medical records (EMRs) is an ongoing problem for providers, facilities, and insurance reimbursement. Current completion of EMRs lack standardized processes to make EMRs completion easier for providers with their busy workday and allow optimal time for patient care.
PICOT: For healthcare providers at primary clinics (P) will implementing speech recognition dictation (SRD) for data entry into the electronic medical records (EMRs) (I) compared to the current practice of manually typing all data causing long medical record turnaround times (c) improve medical record completion within 30 days (O) over 10-weeks (T).
Evidence: Evidence that was collected reinforce the implementation of SRDs. Evidence notes three themes of manual data entry, chart audits, and voice recognition software.
Intervention: This quality improvement project aimed to implement speech recognition dictation (SRD) for providers to use to improve completion rates of EMRs. This project was implemented over an 8-week period.
Outcome: A two tailed paired sample t-test was used to examine EMRs completion rates improving with increasing pre-intervention (M = 0.68, SD = 0.22) to post-intervention (M = 0.90, SD = 0.08), t (19) = -4.07, p < .001. Provider satisfaction was varied in the survey with less than 50% of providers planning to continue to use the implementation after the project’s completion.
Conclusion: Completion rates increased with the implementation of SRD. Barriers were noted during the project to effect longevity due to provider satisfaction. Future policy implementation and effective training along with advancement of the software could influence providers to stick to the implementation.
Recommended Citation
Losely, P. (2025). Impact of Primary Care Healthcare Providers Patient Electronic Medical Records Completion Rates Using Speech Recognition Dictation. [Doctoral project, University of St Augustine for Health Sciences]. SOAR @ USA: Student Scholarly Projects Collection. https:/doi.org/10.46409/sr.HNYG8817
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Included in
Family Practice Nursing Commons, Health Information Technology Commons, Patient Safety 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.