Personal Health Records: A Systematic Literature Review.
Personal Health Records: A Systematic Literature Review.
复制标题
个人健康记录：系统文献综述。
DOI：
10.2196/jmir.5876
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发表时间：
2017-01-06
影响因子：
7.4
通讯作者：
de Oliveira KS
中科院分区：
文献类型：
--
作者：
Roehrs A;da Costa CA;Righi RD;de Oliveira KS
信息和通信技术（ICT）已经改变了全球医疗保健领域。这一变化的主要驱动力之一是电子健康记录（EHR）。然而，仍然存在开放的问题和挑战，因为EHR通常反映了医疗保健提供者的部分观点，而患者没有能力控制或与他们的数据进行交互。此外，随着移动的和无处不在的计算的增长，关于个人健康的记录的数量呈指数级增长。这一运动被称为物联网（IoT），包括可穿戴计算技术和各种类型的健康相关传感器的广泛发展。这导致需要一种存储健康相关数据的集成方法，定义为个人健康记录（PHR），可供医疗保健提供者和患者使用。这种方法可以将联合收割机EHR与从传感器或其他可穿戴计算设备收集的数据相结合。这种统一的患者健康视图可以与提供者共享，提供者不仅可以使用以前的健康相关记录，还可以通过交互产生的数据扩展这些记录。PHR的另一个优势是患者可以与他们的健康数据进行交互，做出可能对他们的健康产生积极影响的决定。这项工作的目的是探讨最近的文献有关PHR的定义分类和识别的挑战和开放的问题。此外，这项研究特别试图确定与PHR有关的数据类型、标准、配置文件、目标、方法、功能和架构。实现这些目标的方法包括使用系统性文献综述方法，该方法由使用人群、干预、比较、结局和背景（PICOC）标准的研究问题指导。因此，我们回顾了过去10年发表的5000多项科学研究，选择了最重要的方法，并彻底调查了与PHR相关的医疗保健领域。我们开发了一个更新的分类，并确定了挑战，开放的问题，和当前的数据类型，相关标准，主要配置文件，输入策略，目标，功能和架构的PHR。所有这些结果有助于实现一个显着程度的覆盖面有关的技术PHR。
Information and communication technology (ICT) has transformed the health care field worldwide. One of the main drivers of this change is the electronic health record (EHR). However, there are still open issues and challenges because the EHR usually reflects the partial view of a health care provider without the ability for patients to control or interact with their data. Furthermore, with the growth of mobile and ubiquitous computing, the number of records regarding personal health is increasing exponentially. This movement has been characterized as the Internet of Things (IoT), including the widespread development of wearable computing technology and assorted types of health-related sensors. This leads to the need for an integrated method of storing health-related data, defined as the personal health record (PHR), which could be used by health care providers and patients. This approach could combine EHRs with data gathered from sensors or other wearable computing devices. This unified view of patients’ health could be shared with providers, who may not only use previous health-related records but also expand them with data resulting from their interactions. Another PHR advantage is that patients can interact with their health data, making decisions that may positively affect their health. This work aimed to explore the recent literature related to PHRs by defining the taxonomy and identifying challenges and open questions. In addition, this study specifically sought to identify data types, standards, profiles, goals, methods, functions, and architecture with regard to PHRs. The method to achieve these objectives consists of using the systematic literature review approach, which is guided by research questions using the population, intervention, comparison, outcome, and context (PICOC) criteria. As a result, we reviewed more than 5000 scientific studies published in the last 10 years, selected the most significant approaches, and thoroughly surveyed the health care field related to PHRs. We developed an updated taxonomy and identified challenges, open questions, and current data types, related standards, main profiles, input strategies, goals, functions, and architectures of the PHR. All of these results contribute to the achievement of a significant degree of coverage regarding the technology related to PHRs.