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A collective intelligence framework for lifestyle management pro mental health systems

  • Femi Isiaq
  • , Drishty Sobnath

Research output: Contribution to journalArticlepeer-review

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Abstract

Health Information Management Systems are becoming a central fixture in healthcare settings, but only a few frameworks exist to provide guidelines for the development of an innovative and sustainable system. This study employs a collective intelligence approach by corroborating knowledge, skills and contributions of various stakeholders to develop a Framework for Lifestyle Management pro Mental Health Management Systems (FLMMHS). A mixed-methods approach was employed and covered in two principal phases namely; document analysis (analysis of existing facts about mental health in the body of knowledge) and empirical analysis (experts’ validation using four core parameters namely; efficacy, effectiveness, simplicity and flexibility). FLMMHS’ components are apportioned into three core layers namely; Research Design Evaluation (RDE wrapper), Guidelines and Requirements (G&R), and Diagnosis Prevention Alleviation (DPA). While these components are flexibly designed to allow seamless system integration, its comprehensive representation serves as an implementation platform for the development of mental health systems. Although the suitability of FLMMHS for system development is based on the premise of lifestyle management for mental health, successful evaluation following qualitative and quantitative measures by expert judges impresses its aptness for the development mental health management systems.
Original languageEnglish
Pages (from-to)138-150
JournalInternational Journal on Advances in Life Sciences
Volume11
Issue number3 & 4
Publication statusPublished - 2019

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