Unified Structured Framework for mHealth Analytics: Building an Open and Collaborative Community

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 int...

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Bibliographic Details
Published inSocial Computing and Social Media. Applications and Analytics pp. 440 - 450
Main Authors Nguyen, Hoang D., Poo, Danny Chiang Choon
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Data fusion
Data sensors
Health analytics
Mobile health (mHealth)
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Summary: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.
ISBN:3319585614
9783319585611
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-58562-8_34