Journal article

The use of self-quantification systems for personal health information: big data management activities and prospects

Manal Almalki, Kathleen Gray, Fernando Martin Sanchez



BACKGROUND: Self-quantification is seen as an emerging paradigm for health care self-management. Self-quantification systems (SQS) can be used for tracking, monitoring, and quantifying health aspects including mental, emotional, physical, and social aspects in order to gain self-knowledge. However, there has been a lack of a systematic approach for conceptualising and mapping the essential activities that are undertaken by individuals who are using SQS in order to improve health outcomes. In this paper, we propose a new model of personal health information self-quantification systems (PHI-SQS). PHI-SQS model describes two types of activities that individuals go through during their journey o..

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Funding Acknowledgements

This paper was written as part of a project exploring the concept of self-quantification in health and fitness applications. Seed funding for this project 'Self-omics: addressing the information and communication needs of the quantified individual for enabling participatory and personalised medicine', was provided by the University of Melbourne's Institute for a Broadband- Enabled Society (IBES). Almalki's PhD research is supported by a scholarship from king Abdullah foreign scholarship program and a top-up scholarship from IBES.