Patient-generated health data: Dimensions, challenges, and open questions

被引：13
作者：
Figueiredo M.C. [1 ]
Chen Y. [1 ]
机构：
[1] University of California, Irvine
来源：
Foundations and Trends in Human-Computer Interaction | 2020年 / 13卷 / 03期
关键词：
D O I：
10.1561/1100000080
中图分类号：
R96 [药理学]; R3 [基础医学]; R4 [临床医学];
学科分类号：
1001 ; 1002 ; 100602 ; 100706 ;
摘要：
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. © 2010 Lippincott Williams and Wilkins. All rights reserved.
引用
收藏
页码：165 / 297
页数：132
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