PDF(Pubmed)
Abstract：
The health sector is highly digitized, which is enabling the collection of vast quantities of electronic data about health and well-being. These data are collected by a diverse array of information and communication technologies, including systems used by health care organizations, consumer and community sources such as information collected on the web, and passively collected data from technologies such as wearables and devices. Understanding the breadth of IT that collect these data and how it can be actioned is a challenge for the significant portion of the digital health workforce that interact with health data as part of their duties but are not for informatics experts. This viewpoint aims to present a taxonomy categorizing common information and communication technologies that collect electronic data. An initial classification of key information systems collecting electronic health data was undertaken via a rapid review of the literature. Subsequently, a purposeful search of the scholarly and gray literature was undertaken to extract key information about the systems within each category to generate definitions of the systems and describe the strengths and limitations of these systems.
摘要：
卫生部门高度数字化，这使得能够收集大量关于健康和福祉的电子数据。这些数据是由各种各样的信息和通信技术收集的，包括医疗机构使用的系统，消费者和社区来源，如网络上收集的信息，并被动地从可穿戴设备和设备等技术中收集数据。了解收集这些数据的IT广度以及如何采取行动，对于数字医疗工作人员中与健康数据互动作为其职责的重要部分来说是一个挑战，而不是信息学专家。此观点旨在提出一种分类方法，对收集电子数据的通用信息和通信技术进行分类。通过快速审查文献，对收集电子健康数据的关键信息系统进行了初步分类。随后，对学术和灰色文献进行了有目的的搜索，以提取有关每个类别中系统的关键信息，以生成系统的定义并描述这些系统的优势和局限性。
