Tiase Victoria L, Hull William, McFarland Mary M, Sward Katherine A, Del Fiol Guilherme, Staes Catherine, Weir Charlene, Cummins Mollie R
University of Utah, College of Nursing, The Value Institute, NewYork-Presbyterian Hospital, New York, New York, USA.
University of Utah, College of Nursing, Salt Lake City, Utah, USA.
JAMIA Open. 2020 Dec 5;3(4):619-627. doi: 10.1093/jamiaopen/ooaa052. eCollection 2020 Dec.
Patient-generated health data (PGHD) are clinically relevant data captured by patients outside of the traditional care setting. Clinical use of PGHD has emerged as an essential issue. This study explored the evidence to determine the extent of and describe the characteristics of PGHD integration into electronic health records (EHRs).
In August 2019, we conducted a systematic scoping review. We included studies with complete, partial, or in-progress PGHD and EHR integration within a clinical setting. The retrieved articles were screened for eligibility by 2 researchers, and data from eligible articles were abstracted, coded, and analyzed.
A total of 19 studies met inclusion criteria after screening 9463 abstracts. Most of the study designs were pilots and all were published between 2013 and 2019. Types of PGHD were biometric and patient activity (57.9%), questionnaires and surveys (36.8%), and health history (5.3%). Diabetes was the most common patient condition (42.1%) for PGHD collection. Active integration (57.9%) was slightly more common than passive integration (31.6%). We categorized emergent themes into the 3 steps of PGHD flow. Themes emerged concerning resource requirements, data delivery to the EHR, and preferences for review.
PGHD integration into EHRs appears to be at an early stage. PGHD have the potential to close health care gaps and support personalized medicine. Efforts are needed to understand how to optimize PGHD integration into EHRs considering resources, standards for EHR delivery, and clinical workflows.
患者生成的健康数据（PGHD）是患者在传统护理环境之外收集的具有临床相关性的数据。PGHD的临床应用已成为一个重要问题。本研究探索了相关证据，以确定PGHD整合到电子健康记录（EHR）中的程度并描述其特征。
2019年8月，我们进行了一项系统的范围综述。我们纳入了在临床环境中实现了PGHD与EHR完全、部分或正在进行整合的研究。由两名研究人员对检索到的文章进行资格筛选，并对符合条件的文章的数据进行提取、编码和分析。
在筛选了9463篇摘要后，共有19项研究符合纳入标准。大多数研究设计为试点研究，且所有研究均发表于2013年至2019年之间。PGHD的类型包括生物特征和患者活动（57.9%）、问卷调查（36.8%）以及健康史（5.3%）。糖尿病是PGHD收集最常见的患者疾病（42.1%）。主动整合（57.9%）比被动整合（31.6%）略为常见。我们将新出现的主题归纳为PGHD流程的三个步骤。出现了有关资源需求、数据传输至EHR以及审查偏好的主题。
PGHD整合到EHR中似乎尚处于早期阶段。PGHD有潜力缩小医疗保健差距并支持个性化医疗。需要做出努力，以了解如何在考虑资源、EHR数据传输标准和临床工作流程的情况下优化PGHD与EHR的整合。
