Patient-Generated Health Data: Dimensions, Challenges, and Open Questions

Found. Trends Hum. Comput. Interact. Pub Date : 2020-04-21 DOI:10.1561/1100000080

Mayara Costa Figueiredo, Yunan Chen

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引用次数: 27

Abstract

In this review, we present an overview of patient-generated health data (PGHD) research, focusing on important aspects that inform and define studies in the area. We start by exploring a fundamental question: what is patient-generated health data? We list the main terms and definitions identified from previous research and generate a set of seven key dimensions for understanding PGHD: (1) the health focus of the study, (2) the type of data, (3) who proposes the use of PGHD, (4) whose data are collected, (5) who are the intended users, (6) how PGHD is collected and used, and (7) the duration of PGHD use. We describe these dimensions and discuss their importance to research PGHD. We then present a discussion of the impact of PGHD and related practices in people’s lives and the debates concerning the consequences, both positive and negative, that may arise. Mayara Costa Figueiredo and Yunan Chen (2020), “Patient-Generated Health Data: Dimensions, Challenges, and Open Questions”, Foundations and Trends® in Human– Computer Interaction: Vol. 13, No. 3, pp 165–297. DOI: 10.1561/1100000080. Full text available at: http://dx.doi.org/10.1561/1100000080

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患者生成的健康数据:维度、挑战和开放问题

在这篇综述中，我们概述了患者产生的健康数据(PGHD)研究，重点关注了该领域研究的重要方面。我们从探索一个基本问题开始:什么是患者生成的健康数据?我们列出了从以前的研究中确定的主要术语和定义，并生成了一套理解PGHD的七个关键维度:(1)研究的健康焦点，(2)数据类型，(3)谁提出使用PGHD，(4)谁收集数据，(5)谁是预期用户，(6)如何收集和使用PGHD，以及(7)使用PGHD的持续时间。我们描述了这些维度，并讨论了它们对研究PGHD的重要性。然后，我们讨论了PGHD和相关实践对人们生活的影响，以及可能出现的积极和消极后果的辩论。Mayara Costa Figueiredo和Yunan Chen(2020)，“患者生成的健康数据:维度，挑战和开放问题”，人机交互的基础和趋势®:第13卷，第3期，第165-297页。DOI: 10.1561 / 1100000080。全文可在:http://dx.doi.org/10.1561/1100000080

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Found. Trends Hum. Comput. Interact.

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