scholarly journals Baby Boomers’ Adoption of Consumer Health Technologies: Survey on Readiness and Barriers

2014 ◽  
Vol 16 (9) ◽  
pp. e200 ◽  
Author(s):  
Cynthia LeRouge ◽  
Craig Van Slyke ◽  
Deborah Seale ◽  
Kevin Wright
Author(s):  
Michael F. Rayo ◽  
Morgan C. Fitzgerald ◽  
Ryan C. Gifford ◽  
Dane A. Morey ◽  
Morgan E. Reynolds ◽  
...  

We introduce the concept of machine fitness assessment, which is the process of correctly determining the degree of fit between a machine’s inferences on a specific world and the world itself. We describe its importance in complex, high-stakes worlds, including healthcare, and how it will be critically important to realize the potential of consumer health technologies that promise institutional-quality health diagnosis and planning in decidedly non-institutional settings (e.g., our homes, offices, or anywhere else).


2017 ◽  
Vol 26 (01) ◽  
pp. 152-159 ◽  
Author(s):  
A. M. Lai ◽  
P.-Y. S. Hsueh ◽  
Y. K. Choi ◽  
R. R. Austin

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.


2019 ◽  
Vol 6 (2) ◽  
pp. e8885 ◽  
Author(s):  
Eun Kyoung Choe ◽  
Marisa E Duarte ◽  
Hyewon Suh ◽  
Wanda Pratt ◽  
Julie A Kientz

2014 ◽  
Vol 3 (1) ◽  
pp. e2 ◽  
Author(s):  
Ginger White ◽  
Kelly Caine ◽  
Kay Connelly ◽  
Rebecca Selove ◽  
Tom Doub

2017 ◽  
Vol 26 (01) ◽  
pp. 152-159 ◽  
Author(s):  
A. M. Lai ◽  
P.-Y. S. Hsueh ◽  
Y. K. Choi ◽  
R. R. Austin

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.


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