VetDash: a clinical dashboard for enhancing measurement-based care in veteran health.

IF 3.4 Q2 HEALTH CARE SCIENCES & SERVICES
JAMIA Open Pub Date : 2025-07-31 eCollection Date: 2025-08-01 DOI:10.1093/jamiaopen/ooaf075
Santiago Allende, Hayley S Sullivan, Peter J Bayley
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引用次数: 0

Abstract

Objectives: Measurement-based care (MBC) improves clinical decision-making but remains underutilized in the Veterans Health Administration due to barriers such as provider awareness, time constraints, and user-experience limitations. This study describes the development of the War Related Illness and Injury Study Center Veteran Dashboard (VetDash), a patient-level clinical dashboard designed to integrate the VA's Collect, Share, Act model into the provider workflow.

Materials and methods: VetDash was developed using R Shiny, utilizing data from the WRIISC Clinical Intake Packet Database. It integrates patient-reported health data and military history into a dashboard hosted on a Linux-based Shiny Server within the VA's intranet.

Results: VetDash includes four modules: Patient Characteristics, Patient Health Symptoms, Patient Exposures, and Patient Self-Report Measures. Providers can visualize patient-reported symptoms, military exposures, and self-report measures, and compare patients to provider-defined cohorts.

Discussion and conclusion: VetDash facilitates MBC integration into the clinical workflow, potentially improving personalized patient care. Future research should evaluate its impact on clinical decisions, outcomes, and explore further enhancements.

VetDash:一个临床仪表板,用于加强退伍军人健康方面的基于测量的护理。
目的:基于测量的护理(MBC)改善了临床决策,但由于提供者意识、时间限制和用户体验限制等障碍,在退伍军人健康管理中仍未得到充分利用。本研究描述了与战争有关的疾病和伤害研究中心退伍军人仪表板(VetDash)的发展,这是一个病人级的临床仪表板,旨在将VA的收集、分享、行动模型集成到提供者工作流程中。材料和方法:VetDash是使用R Shiny开发的,利用了来自WRIISC临床摄入包数据库的数据。它将病人报告的健康数据和军事历史整合到一个仪表盘中,该仪表盘托管在VA内部网内基于linux的Shiny服务器上。结果:VetDash包括四个模块:患者特征、患者健康症状、患者暴露和患者自我报告测量。提供者可以可视化患者报告的症状、军事暴露和自我报告措施,并将患者与提供者定义的队列进行比较。讨论与结论:VetDash促进了MBC与临床工作流程的整合,有可能改善个性化的患者护理。未来的研究应评估其对临床决策和结果的影响,并探索进一步的增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
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