Design Concept of a Mental Health Monitoring Application with Explainable Assessments

De Silva, Upeka
Madanian, Samaneh
Templeton, John
Poellabauer, Christian
Schneider, Sandy
Narayanan, Ajit
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Association for Information Systems (AIS)

Mental health (MH) has become a global issue with increased numbers, especially after COVID-19. Digital phenotyping in mental healthcare provides a highly effective, scaled, cost-effective approach to handling global MH problems. We propose a conceptual design of an MH monitoring application for both patients and clinicians. The application is designed to monitor the overall MH status of individuals based on mood, stress, behaviour, and personality. Further, it proposes objective MH assessment from smartphone data and screening of MH via periodic, short, self-reported, standardized questionnaires. This solution yields customized explainable MH assessments for individual users and clinicians to build user trust and system credibility.

De Silva, Upeka; Madanian, Samaneh; Templeton, John Michael; Poellabauer, Christian; Schneider, Sandy; and Narayanan, Ajit, "Design Concept of a Mental Health Monitoring Application with Explainable Assessments" (2023). ACIS 2023 Proceedings. 28.
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© 2023 De Silva, Madanian, Templeton, Poellabauer, Schneider and Narayanan. This is an open-access article licensed under a Creative Commons Attribution-Non-Commercial 3.0 Australia License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and ACIS are credited.