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DOI: 10.1055/a-2177-4420
Vanderbilt Electronic Health Record Voice Assistant Supports Clinicians
Funding Research reported in this publication was supported by the Evelyn Selby Stead Fund for Innovation; The Vanderbilt Institute for Clinical and Translational Research; and The National Center for Advancing Translational Sciences of the National Institutes of Health [award number: UL1 TR003163]. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Abstract
Background Electronic health records (EHRs) present navigation challenges due to time-consuming searches across segmented data. Voice assistants can improve clinical workflows by allowing natural language queries and contextually aware navigation of the EHR.
Objectives To develop a voice-mediated EHR assistant and interview providers to inform its future refinement.
Methods The Vanderbilt EHR Voice Assistant (VEVA) was developed as a responsive web application and designed to accept voice inputs and execute the appropriate EHR commands. Fourteen providers from Vanderbilt Medical Center were recruited to participate in interactions with VEVA and to share their experience with the technology. The purpose was to evaluate VEVA's overall usability, gather qualitative feedback, and detail suggestions for enhancing its performance.
Results VEVA's mean system usability scale score was 81 based on the 14 providers' evaluations, which was above the standard 50th percentile score of 68. For all five summaries evaluated (overview summary, A1C results, blood pressure, weight, and health maintenance), most providers offered a positive review of VEVA. Several providers suggested modifications to make the technology more useful in their practice, ranging from summarizing current medications to changing VEVA's speech rate. Eight of the providers (64%) reported they would be willing to use VEVA in its current form.
Conclusion Our EHR voice assistant technology was deemed usable by most providers. With further improvements, voice assistant tools such as VEVA have the potential to improve workflows and serve as a useful adjunct tool in health care.
Keywords
EHRs and systems - human–computer interaction - clinical decision support - natural language processing - clinical data managementProtection of Human and Animal Subjects
This study was reviewed and approved by the Vanderbilt University Medical Center Institutional Review Board.
Publikationsverlauf
Eingereicht: 14. März 2023
Angenommen: 16. September 2023
Accepted Manuscript online:
18. September 2023
Artikel online veröffentlicht:
13. März 2024
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