Doctor of Nursing Practice (DNP) Projects
Access Control
Open Access
Degree Program
Doctor of Nursing Practice
Degree Track
Family Nurse Practioner
Year Degree Awarded
2018
DOI
https://doi.org/10.7275/12125726
Month Degree Awarded
May
Keywords
medical terms, patient understanding, health literacy, chronic disease, electronic health record usability
Advisor
Dr. Pamela Aselton
Abstract
Background: Patients are increasingly given access to their electronic medical records (EMRs) to help them keep track of their care, but many may have a difficult time understanding what is in them. Programs such as NoteAid assist in translating medical records and may increase the number of patients who actively use their EMRs, a development which may improve the management of chronic diseases.
Purpose: To work on a translation system developed by the University of Massachusetts Informatics group to make outpatient records more understandable for adult patients with chronic disease by using and testing a machine-learning database (NoteAid). Patients’ self-management of chronic disease may improve, as they increase their understanding of medical terminology.
Methods: A test version of NoteAid was used with volunteer adult patients during face-to-face sessions in an outpatient office at a health system in Southeastern Pennsylvania. These sessions were used to test NoteAid’s effectiveness as a tool to improve patients’ understanding of their EMRs. Patients read their own office note from a recent visit without the use of NoteAid, and then interpreted the same note using it.
Results: 13 participants participated over a two-month period with 85% reporting they would use the system from a patient portal and 100% answering strongly agree or agree when asked if the NoteAid system helped them comprehend their clinical EMR notes.
Conclusions: Machine-learning databases like NoteAid have the potential to improve the management of chronic diseases. By integrating these systems into an informative and user-friendly portal, patients are afforded the opportunity to improve understanding of their EMRs.
Keywords: medical terms, patient understanding, health literacy, chronic disease, and electronic health record usability
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.