TY - JOUR
T1 - Vanderbilt Electronic Health Record Voice Assistant Supports Clinicians
AU - Kumah-Crystal, Yaa A.
AU - Lehmann, Christoph U.
AU - Albert, Dan
AU - Coffman, Tim
AU - Alaw, Hala
AU - Roth, Sydney
AU - Manoni, Alexandra
AU - Shave, Peter
AU - Johnson, Kevin B.
N1 - Publisher Copyright:
© 2024. Thieme. All rights reserved.
PY - 2023/3/14
Y1 - 2023/3/14
N2 - 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.
AB - 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.
KW - EHRs and systems
KW - clinical data management
KW - clinical decision support
KW - human-computer interaction
KW - natural language processing
UR - http://www.scopus.com/inward/record.url?scp=85173016558&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85173016558&partnerID=8YFLogxK
U2 - 10.1055/a-2177-4420
DO - 10.1055/a-2177-4420
M3 - Article
C2 - 37722603
AN - SCOPUS:85173016558
SN - 1869-0327
VL - 15
SP - 199
EP - 203
JO - Applied Clinical Informatics
JF - Applied Clinical Informatics
IS - 2
ER -