Vanderbilt Electronic Health Record Voice Assistant Supports Clinicians.

IF 2.1 2区医学 Q4 MEDICAL INFORMATICS

Applied Clinical Informatics Pub Date : 2024-03-01 Epub Date: 2023-09-18 DOI:10.1055/a-2177-4420

Yaa A Kumah-Crystal, Christoph U Lehmann, Dan Albert, Tim Coffman, Hala Alaw, Sydney Roth, Alexandra Manoni, Peter Shave, Kevin B Johnson

{"title":"Vanderbilt Electronic Health Record Voice Assistant Supports Clinicians.","authors":"Yaa A Kumah-Crystal, Christoph U Lehmann, Dan Albert, Tim Coffman, Hala Alaw, Sydney Roth, Alexandra Manoni, Peter Shave, Kevin B Johnson","doi":"10.1055/a-2177-4420","DOIUrl":null,"url":null,"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.","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10937093/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Clinical Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2177-4420","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/18 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}

引用次数: 0

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.

查看原文本刊更多论文

范德堡电子健康记录语音助手为临床医生提供支持。

背景：电子健康记录（EHR）由于在分割的数据中进行耗时的搜索，给导航带来了挑战。语音助手可以通过自然语言查询和根据上下文对电子病历进行导航来改善临床工作流程：开发以语音为媒介的电子病历助手，并对医疗服务提供者进行访谈，为其未来的改进提供信息：范德比尔特电子病历语音助手（VEVA）是作为一个响应式网络应用程序开发的，旨在接受语音输入并执行相应的电子病历命令。范德比尔特医疗中心招募了 14 名医疗服务提供者参与与 VEVA 的互动，并分享他们使用该技术的经验。目的是评估 VEVA 的整体可用性，收集定性反馈意见，并详细说明提高其性能的建议：根据 14 个提供商的评估，VEVA 系统可用性的平均值为 81 分，高于第 50 百分位数 68 分的标准值。对于所有五项评估摘要（概述摘要、A1C 结果、血压、体重和健康维护），大多数医疗服务提供者都对 VEVA 给予了积极评价。有几位医疗服务提供者建议对该技术进行修改，使其在他们的实践中更加有用，包括总结当前的用药情况和改变 VEVA 的语速。其中 8 位医疗服务提供者（64%）表示愿意使用当前形式的 VEVA：结论：大多数医疗服务提供者认为我们的电子病历语音助手技术是可用的。通过进一步改进，VEVA 等语音助手工具有可能改善工作流程，并成为医疗保健领域有用的辅助工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Applied Clinical Informatics MEDICAL INFORMATICS-

CiteScore

4.60

自引率

24.10%

发文量

132

期刊介绍： ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.