Ryu Borim, Kim Nari, Heo Eunyoung, Yoo Sooyoung, Lee Keehyuck, Hwang Hee, Kim Jeong-Whun, Kim Yoojung, Lee Joongseek, Jung Se Young
Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.
Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.
J Med Internet Res. 2017 Dec 7;19(12):e401. doi: 10.2196/jmir.8867.
Personal health record (PHR)-based health care management systems can improve patient engagement and data-driven medical diagnosis in a clinical setting.
The purpose of this study was (1) to demonstrate the development of an electronic health record (EHR)-tethered PHR app named MyHealthKeeper, which can retrieve data from a wearable device and deliver these data to a hospital EHR system, and (2) to study the effectiveness of a PHR data-driven clinical intervention with clinical trial results.
To improve the conventional EHR-tethered PHR, we ascertained clinicians' unmet needs regarding PHR functionality and the data frequently used in the field through a cocreation workshop. We incorporated the requirements into the system design and architecture of the MyHealthKeeper PHR module. We constructed the app and validated the effectiveness of the PHR module by conducting a 4-week clinical trial. We used a commercially available activity tracker (Misfit) to collect individual physical activity data, and developed the MyHealthKeeper mobile phone app to record participants' patterns of daily food intake and activity logs. We randomly assigned 80 participants to either the PHR-based intervention group (n=51) or the control group (n=29). All of the study participants completed a paper-based survey, a laboratory test, a physical examination, and an opinion interview. During the 4-week study period, we collected health-related mobile data, and study participants visited the outpatient clinic twice and received PHR-based clinical diagnosis and recommendations.
A total of 68 participants (44 in the intervention group and 24 in the control group) completed the study. The PHR intervention group showed significantly higher weight loss than the control group (mean 1.4 kg, 95% CI 0.9-1.9; P<.001) at the final week (week 4). In addition, triglyceride levels were significantly lower by the end of the study period (mean 2.59 mmol/L, 95% CI 17.6-75.8; P=.002).
We developed an innovative EHR-tethered PHR system that allowed clinicians and patients to share lifelog data. This study shows the effectiveness of a patient-managed and clinician-guided health tracker system and its potential to improve patient clinical profiles.
ClinicalTrials.gov NCT03200119; https://clinicaltrials.gov/ct2/show/NCT03200119 (Archived by WebCite at http://www.webcitation.org/6v01HaCdd).
基于个人健康记录(PHR)的医疗保健管理系统可以提高临床环境中患者的参与度和数据驱动的医学诊断。
本研究的目的是(1)展示一款名为MyHealthKeeper的电子健康记录(EHR)绑定的PHR应用程序的开发,该应用程序可以从可穿戴设备检索数据并将这些数据传输到医院EHR系统,以及(2)通过临床试验结果研究基于PHR数据驱动的临床干预的有效性。
为了改进传统的EHR绑定的PHR,我们通过一个共创研讨会确定了临床医生对PHR功能和该领域常用数据的未满足需求。我们将这些需求纳入MyHealthKeeper PHR模块的系统设计和架构中。我们构建了该应用程序,并通过进行为期4周的临床试验来验证PHR模块的有效性。我们使用一款市售的活动追踪器(Misfit)收集个人身体活动数据,并开发了MyHealthKeeper手机应用程序来记录参与者的每日食物摄入模式和活动日志。我们将80名参与者随机分为基于PHR的干预组(n = 51)或对照组(n = 29)。所有研究参与者都完成了一份纸质调查问卷、一项实验室检查、一次体格检查和一次意见访谈。在为期4周的研究期间,我们收集了与健康相关的移动数据,研究参与者两次前往门诊,并接受了基于PHR的临床诊断和建议。
共有68名参与者(干预组44名,对照组24名)完成了研究。在最后一周(第4周),PHR干预组的体重减轻明显高于对照组(平均1.4 kg,95%CI 0.9 - 1.9;P <.001)。此外,在研究期结束时,甘油三酯水平显著降低(平均2.59 mmol/L,95%CI 17.6 - 75.8;P =.002)。
我们开发了一种创新的EHR绑定的PHR系统,该系统允许临床医生和患者共享生活日志数据。本研究表明了患者管理和临床医生指导的健康追踪系统的有效性及其改善患者临床状况的潜力。
ClinicalTrials.gov NCT03200119;https://clinicaltrials.gov/ct2/show/NCT03200119(由WebCite存档于http://www.webcitation.org/6v01HaCdd)。