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.
Help4Mood is a system for supporting the treatment of people with depression in the community. Relevant aspects of the patient's condition are monitored; summaries and trends are shared with the clinician. In this paper, we describe how the decision to provide for integration into clinical practice has affected design and implementation of Help4Mood. We excluded useful functionality such as medication reminders and moved to a laptop as a secure platform.
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