Mobile App Gateway, Clinical & Translational Science Institute, Duke University, Durham, NC, United States.
School of Nursing, Duke University, Durham, NC, United States.
J Med Internet Res. 2020 Oct 28;22(10):e23314. doi: 10.2196/23314.
Mobile health (mHealth) technologies, such as wearable devices and sensors that can be placed in the home, allow for the capture of physiologic, behavioral, and environmental data from patients between clinic visits. The inclusion of these data in the medical record may benefit patients and providers. Most health systems now have electronic health records (EHRs), and the ability to pull and send data to and from mobile devices via smartphones and other methods is increasing; however, many challenges exist in the evaluation and selection of devices to integrate to meet the needs of diverse patients with a range of clinical needs. We present a case report that describes a method that our health system uses, guided by a telehealth model to evaluate the selection of devices for EHR integration.
移动医疗(mHealth)技术,如可放置在家中的可穿戴设备和传感器,可以在患者就诊之间捕获生理、行为和环境数据。将这些数据纳入病历可能使患者和医务人员受益。现在大多数医疗系统都有电子健康记录(EHR),通过智能手机和其他方法从移动设备中提取和发送数据的能力正在不断增强;然而,在评估和选择设备以集成以满足具有不同临床需求的多样化患者的需求方面,仍然存在许多挑战。我们呈现了一个案例报告,描述了我们的医疗系统使用的一种方法,该方法以远程医疗模型为指导,评估了 EHR 集成设备的选择。