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Yearb Med Inform 2017; 26(01): 152-159
DOI: 10.15265/IY-2017-016
Section 7: Consumer Health Informatics
Survey
Georg Thieme Verlag KG Stuttgart

Present and Future Trends in Consumer Health Informatics and Patient-Generated Health Data

A. M. Lai
1   Institute for Informatics, Washington University in St. Louis, USA
,
P.-Y. S. Hsueh
2   Computational Health Behavior and Decision Science, Center for Computational Health, IBM T.J. Watson Research Center, USA
,
Y. K. Choi
3   Department of Biomedical Informatics and Medical Education, University of Washington, USA
,
R. R. Austin
4   School of Nursing, University of Minnesota, USA
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Publikationsverlauf

11. September 2017

Publikationsdatum:
11. September 2017 (online)

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Summary

Objectives: Consumer Health Informatics (CHI) and the use of Patient-Generated Health Data (PGHD) are rapidly growing focus areas in healthcare. The objective of this paper is to briefly review the literature that has been published over the past few years and to provide a sense of where the field is going.

Methods: We searched PubMed and the ACM Digital Library for articles published between 2014 and 2016 on the topics of CHI and PGHD. The results of the search were screened for relevance and categorized into a set of common themes. We discuss the major topics covered in these articles.

Results: We retrieved 65 articles from our PubMed query and 32 articles from our ACM Digital Library query. After a review of titles, we were left with 47 articles to conduct our full article survey of the activities in CHI and PGHD. We have summarized these articles and placed them into major categories of activity. Within the domain of consumer health informatics, articles focused on mobile health and patient-generated health data comprise the majority of the articles published in recent years.

Conclusions: Current evidence indicates that technological advancements and the widespread availability of affordable consumer-grade devices are fueling research into using PGHD for better care. As we observe a growing number of (pilot) developments using various mobile health technologies to collect PGHD, major gaps still exist in how to use the data by both patients and providers. Further research is needed to understand the impact of PGHD on clinical outcomes.

Keywords

Consumer health information/methods - patient-generated health data - mHealth - user-computer interface - consumer participation in delivery of health care
 

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