Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
J Med Internet Res. 2024 May 31;26:e47682. doi: 10.2196/47682.
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.
卫生部门高度数字化，这使得大量关于健康和福祉的电子数据得以收集。这些数据由各种信息和通信技术收集，包括医疗保健组织使用的系统、消费者和社区来源，例如在网络上收集的信息，以及来自可穿戴设备和设备等技术的被动收集数据。了解收集这些数据的 IT 范围以及如何对其采取行动，对于作为其职责一部分与健康数据交互但不是信息学专家的数字卫生劳动力的很大一部分来说是一个挑战。本观点旨在提出一种分类法，对收集电子数据的常见信息和通信技术进行分类。通过对文献的快速审查，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针对性的搜索，以提取每个类别的系统中的关键信息，从而生成系统的定义并描述这些系统的优势和局限性。
