Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Mar 29, 2023
Date Accepted: Jan 31, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
A taxonomy of types of electronic health data
ABSTRACT
The health sector is highly digitised. This digitisation is enabling the collection of vast quantities of electronic data about health and wellbeing. The Information Communication Technologies collecting these data are varied depending on the area of healthcare but can include systems used by healthcare organisations, consumer and community sources such as information collected online, and passively collected data from technologies such as wearables and devices. Understanding the breadth of technologies, the health system uses to collect data, and the myriad ways it can be actioned is a challenge for researchers, consumers, health professionals, governments and other key stakeholders. This viewpoint aims to describe the Information Communication Technologies that collect electronic data within the health ecosystem. A secondary aim is to better understand how the data from these systems is being actioned for both primary and secondary uses. A purposeful review of the literature was undertaken to describe the different Information Communication Technologies that collect electronic health data and classify them into broad categories, and the ways in which these different electronic health data sources have been utilised to date. The review was augmented with the domain knowledge from the authors to develop use cases to illustrate how electronic health data could be actioned to improve health care in future. A taxonomy of electronic health data sources is presented. This taxonomy describes the ways in which data is currently being actioned for primary and secondary uses.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.