Unified structured framework for mHealth analytics: building an open and collaborative community

Nguyen, H. D. and Poo, D. C. C. (2017) Unified structured framework for mHealth analytics: building an open and collaborative community. In: Meiselwitz, G. (ed.) Social Computing and Social Media. Applications and Analytics: 9th International Conference, SCSM 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part II. Series: Lecture notes in computer science (10283). Springer: Cham, pp. 440-450. ISBN 9783319585611 (doi: 10.1007/978-3-319-58562-8_34)

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Mobile health (mHealth) is going through a massive growth spurt that would promisingly transform healthcare delivery for a huge number of patients. The key to unlocking the full potential of mHealth is data analytics which is capable of revealing insights for personalised and just-in-time health interventions. Analysis of mHealth data is uniquely distinguished from conventional health analytics. Hence, this study proposes a Unified Structured Framework for mHealth Analytics (USF-mHA) as an open process model that can be adopted in mHealth apps. With the consideration of data and knowledge management, it provides a standardised guideline for mHealth developers to integrate analytics components with open standards for various stakeholders. Besides, the paper discusses a USF-mHA platform for building an open and collaborative community amongst patients, caregivers, and researchers. The study contributes to the cumulative theoretical development of mHealth analytics and standard methodologies.

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Nguyen, Dr Hoang D.
Authors: Nguyen, H. D., and Poo, D. C. C.
College/School:College of Science and Engineering > School of Computing Science
Published Online:13 May 2017

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