Ranjan, Y;
Folarin, AA;
Stewart, C;
Conde, P;
Dobson, R;
Rashid, Z;
(2019)
Challenges & solutions in a hybrid mHealth mobile app.
In:
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers.
(pp. pp. 183-186).
ACM
Preview |
Text
RADAR-base_aRMT_poster_final.pdf - Accepted Version Download (761kB) | Preview |
Abstract
The paper describes the various problems and challenges encountered during the development and remote data collection in a cross-platform hybrid application developed for remote monitoring of participants and what solutions were implemented to mitigate them. These problems and challenges are universal for hybrid applications and this paper digs deep into these in the domain of large-scale, long-duration mHealth research studies. From technical issues to issues with user compliance, this paper discusses the core problems inherent to these types of studies and technologies, and how to mitigate them.
Type: | Proceedings paper |
---|---|
Title: | Challenges & solutions in a hybrid mHealth mobile app |
Event: | The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 ACM International Symposium on Wearable Computers |
ISBN-13: | 978-1-4503-6869-8 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3341162.3343778 |
Publisher version: | https://doi.org/10.1145/3341162.3343778 |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | mHealth, mobile context sensing, wearable sensors, data collection platform, cross platform mobile application, ionic, cordova, firebase, push notification, hybrid application, compliance |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10087388 |
Archive Staff Only
View Item |