Abstract
Only a small minority of mobile healthcare technologies that have been successful in pilot studies have subsequently been integrated into healthcare systems. Understanding the reasons behind this discrepancy is crucial if such technologies are to be adopted. We believe that the mismatch is due to a breakdown in the relation between technical soundness of the original mobile health (mHealth) device design, and integration into healthcare provision workflows. Quantitative workflow modelling provides an opportunity to test this hypothesis. In this paper we present our current progress in developing a clinical workflow model for mobile eye assessment in low-income settings. We test the model for determining the appropriateness of design parameters of a mHealth device within this workflow, by assessing their impact on the entire clinical workflow performance.
Original language | English |
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Title of host publication | 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Publisher | IEEE |
Pages | 7312-7315 |
Number of pages | 4 |
ISBN (Electronic) | 9781424492718 |
DOIs | |
Publication status | Published - 5 Nov 2015 |
Event | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015: "Biomedical Engineering: a bridge to improve the Quality of Health Care and the Quality of Life" - MiCo Milano Convention Centre, Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 Conference number: 37 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=40742 (EMBC 2015 conference information) |
Publication series
Name | Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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Publisher | IEEE |
ISSN (Print) | 1094-687X |
ISSN (Electronic) | 1558-4615 |
Conference
Conference | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
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Abbreviated title | EMBC 2015 |
Country/Territory | Italy |
City | Milan |
Period | 25/08/15 → 29/08/15 |
Internet address |
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ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics