DocumentCode
65875
Title
Development of mHealth Applications for Pre-Eclampsia Triage
Author
Dunsmuir, Dustin T. ; Payne, Beth A. ; Cloete, Garth ; Petersen, Christian Leth ; Gorges, Matthias ; Lim, Jungyoul ; von Dadelszen, Peter ; Dumont, Guy A. ; Ansermino, J. Mark
Author_Institution
Dept. of Anesthesiology, Pharmacology & Therapeutics, Univ. of British Columbia, Vancouver, BC, Canada
Volume
18
Issue
6
fYear
2014
fDate
Nov. 2014
Firstpage
1857
Lastpage
1864
Abstract
The development of mobile applications for the diagnosis and management of pregnant women with pre-eclampsia is described. These applications are designed for use by community-based health care providers (c-HCPs) in health facilities and during home visits to collect symptoms and perform clinical measurements (including pulse oximeter readings). The clinical data collected in women with pre-eclampsia are used as the inputs to a predictive model providing a risk score for the development of adverse outcomes. Based on this risk, the applications provide recommendations on treatment, referral, and reassessment. c-HCPs can access patient records across multiple visits, using multiple devices that are synchronized using a secure Research Electronic Data Capture server. A unique feature of these applications is the ability to measure oxygen saturation with a pulse oximeter connected to a smartphone (Phone Oximeter). The mobile health application development process, including challenges encountered and solutions are described.
Keywords
biomedical telemetry; electronic health records; health care; medical computing; mobile computing; obstetrics; oximetry; patient diagnosis; patient treatment; smart phones; Phone Oximeter; Research Electronic Data Capture server; adverse outcomes; c-HCP; clinical data; clinical measurements; community-based health care providers; health facilities; home visits; mHealth applications; mobile application development; mobile health application development process; multiple devices; multiple visits; oxygen saturation; patient records; pre-eclampsia triage; predictive model; pregnant women diagnosis; pregnant women management; pulse oximeter readings; reassessment; referral; risk score; smartphone; treatment; Data collection; Decision trees; Mobile handsets; Predictive models; Pregnancy; Protocols; Risk management; Decision support; mobile health (mHealth) application; oxygen saturation; pre-eclampsia; predictive model; risk score;
fLanguage
English
Journal_Title
Biomedical and Health Informatics, IEEE Journal of
Publisher
ieee
ISSN
2168-2194
Type
jour
DOI
10.1109/JBHI.2014.2301156
Filename
6716019
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