Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review.

Karandeep S Singh Kaitlin Drouin Lisa P Newmark Malina Filkins Elizabeth Silvers Paul A Bain Donna M Zulman Jae-Ho Lee Ronen Rozenblum Erika Pabo Adam B Landman Elissa V Klinger David Westfall Bates

Published in: JMIR mHealth and uHealth (2016)

Most apps described in the literature could not be located on the iOS or Android app stores, and existing research does not robustly evaluate the potential of mobile apps. Whereas apps may be useful in patients with chronic conditions, data do not support this yet. Although we had 2-3 reviewers to screen and assess abstract eligibility, only 1 reviewer abstracted the data. This is one limitation of our study. With respect to the 40 articles (22.9%, 40/175) that were assigned to 2 reviewers (of which 3 articles were excluded), inter-rater agreement was significant on the majority of items (17 of 30) but fair-to-moderate on others.

Keyphrases

electronic health record
big data
systematic review
case report
machine learning
data analysis
risk assessment
artificial intelligence
human health