Research Article
Managing Data in Help4Mood
@ARTICLE{10.4108/trans.amsys.01-06.2013.e2, author={Maria K. Wolters and Juan Mart\^{\i}nez-Miranda and Soraya Estevez and Helen F. Hastie and Colin Matheson}, title={Managing Data in Help4Mood}, journal={EAI Endorsed Transactions on Ambient Systems}, volume={1}, number={01-06}, publisher={ICST}, journal_a={AMSYS}, year={2013}, month={3}, keywords={XML, depression, SNOMED CT, decision support}, doi={10.4108/trans.amsys.01-06.2013.e2} }- Maria K. Wolters
Juan Martínez-Miranda
Soraya Estevez
Helen F. Hastie
Colin Matheson
Year: 2013
Managing Data in Help4Mood
AMSYS
ICST
DOI: 10.4108/trans.amsys.01-06.2013.e2
Abstract
Help4Mood is a system that supports the treatment of people with depression in the community. It collects rich cognitive, psychomotor, and motor data through a Personal Monitoring System and a Virtual Agent, which is then analysed by a Decision Support System; analysis results are fed back to patients and their treating clinicians. In this paper, we describe how the complex data is managed and discuss ethical issues. Data is stored in functional units that correspond to treatment relevant entities. Custom XML DTDs are defined for each unit, which are used to exchange information between system components. As far as possible, observations and findings are coded using SNOMED CT to ensure interoperability with other applications such as Electronic Health Records.
Copyright © 2013 Wolters et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
