背景:最近电子健康的增长是前所未有的,特别是在COVID-19大流行之后。在eHealth中,可穿戴技术越来越多地被采用,因为它可以在日常生活环境中提供慢性和急性条件的远程监控。可穿戴技术可用于监测和跟踪日常生活环境中身体和心理压力的关键指标,为临床医生提供有用的信息。关键挑战之一是以易于解释的方式向临床医生提供大量可穿戴数据,以做出明智的决定。
目的:这项研究的目的是设计一个可穿戴数据仪表板,名为CarePortal,呈现对临床医生有意义的可穿戴数据的分析可视化。该研究分为2个主要研究目标:了解临床医生对可穿戴数据解释和可视化的需求,并为Web应用程序开发系统架构,以可视化可穿戴数据和相关分析。
方法:我们使用了从116名经历创伤的青少年参与者收集的可穿戴数据集。两个星期,参与者佩戴MicrosoftBand,记录心率(HR)等生理传感器数据.共收集834天的HR数据。要设计CarePortal仪表板,我们使用参与式设计方法,直接与具有临床心理学和神经心理学背景的临床医生(利益相关者)进行互动.总共从罗德岛医院和马萨诸塞州纪念健康大学招募了8名临床医生。该研究涉及参与式研讨会的5个阶段,并从了解临床医生的需求开始。在研究结束时使用用户体验问卷来定量评估用户体验。生理指标,如每日和每小时最大值,minimum,平均,HR和HR变异性的SD,以及基于人力资源的活动水平,已确定。本研究调查了可穿戴数据的各种数据可视化绘图方法,包括雷达图,堆叠条形图,散点图与线图相结合,简单的条形图,和箱线图。
结果:在了解临床医生的需求后,我们创建了一个CarePortal仪表板。我们研讨会的结果表明,整体临床医生更喜欢汇总信息,如每日HR而不是连续HR,并希望看到可穿戴传感器数据在一段时间内的趋势(例如,days).在用户体验问卷中,获得1.4分,这表明CarePortal的使用令人兴奋(问题5),收到了类似的分数,表明CarePortal是领先的(问题8)。平均而言,临床医生报告说,CarePortal具有支持性,可用于做出知情决策.
结论:我们得出的结论是,与可穿戴传感器数据可视化技术集成的CarePortal仪表板将是未来临床医生可以接受的工具。
BACKGROUND: The recent growth of eHealth is unprecedented, especially after the COVID-19 pandemic. Within eHealth, wearable technology is increasingly being adopted because it can offer the remote monitoring of chronic and acute conditions in daily life environments. Wearable technology may be used to monitor and track key indicators of physical and psychological stress in daily life settings, providing helpful information for clinicians. One of the key challenges is to present extensive wearable data to clinicians in an easily interpretable manner to make informed decisions.
OBJECTIVE: The purpose of this research was to design a wearable data dashboard, named CarePortal, to present analytic visualizations of wearable data that are meaningful to clinicians. The study was divided into 2 main research objectives: to understand the needs of clinicians regarding wearable data interpretation and visualization and to develop a system architecture for a web application to visualize wearable data and related analytics.
METHODS: We used a wearable data set collected from 116 adolescent participants who experienced trauma. For 2 weeks, participants wore a Microsoft Band that logged physiological sensor data such as heart rate (HR). A total of 834 days of HR data were collected. To design the CarePortal dashboard, we used a participatory design approach that interacted directly with clinicians (stakeholders) with backgrounds in clinical psychology and neuropsychology. A total of 8 clinicians were recruited from the Rhode Island Hospital and the University of Massachusetts Memorial Health. The study involved 5 stages of participatory workshops and began with an understanding of the needs of clinicians. A User Experience Questionnaire was used at the end of the study to quantitatively evaluate user experience. Physiological metrics such as daily and hourly maximum, minimum, average, and SD of HR and HR variability, along with HR-based activity levels, were identified. This study investigated various data visualization graphing methods for wearable data, including radar charts, stacked bar plots, scatter plots combined with line plots, simple bar plots, and box plots.
RESULTS: We created a CarePortal dashboard after understanding the clinicians\' needs. Results from our workshops indicate that overall clinicians preferred aggregate information such as daily HR instead of continuous HR and want to see trends in wearable sensor data over a period (eg, days). In the User Experience Questionnaire, a score of 1.4 was received, which indicated that CarePortal was exciting to use (question 5), and a similar score was received, indicating that CarePortal was the leading edge (question 8). On average, clinicians reported that CarePortal was supportive and can be useful in making informed decisions.
CONCLUSIONS: We concluded that the CarePortal dashboard integrated with wearable sensor data visualization techniques would be an acceptable tool for clinicians to use in the future.