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PHR Based Life Health Index Mobile Service Using Decision Support Model

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Abstract

In modern society, interest in health is increasing and the development of medical devices and wireless communication enabled people to get healthcare services easily anytime and anywhere, i.e. ubiquitous healthcare. The development of IT convergence and network technology enabled users to obtain user-centered useful information easily through portable mobile devices as well as computers. Currently, healthcare related user-centered healthcare contents are being actively served and demand related to disease prevention or health promotion is steadily increasing. This paper proposes PHR-based life health index mobile services using a decision support model. A decision support model is developed by using health index related data of existing health weather index service and national health and nutrition survey provided by the Korea Meteorological Administration (KMA) and applications of the mobile environment are developed so that users can receive healthcare services easily anytime and anywhere. The developed mobile service application implemented its interface for the user’s convenient healthcare and was developed to enable interlocking with the user’s PHR information through web server. Unlike comprehensive and standardized index services of existing KMA health weather index and life health index service, the developed mobile service is serving the user’s health status in three stages of danger, alert, safety by using personalized PHR information. The development of the PHR-based life health index mobile service using the decision making model allowed users to check current health status index and obesity measurement, body mass index (BMI), abdominal obesity, potential obesity risk index etc. easily anytime and anywhere only with simple input in the interface of mobile application. Also, accurate and subdivided services can be offered to users and more personalized services enable users to use efficient healthcare service.

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Notes

  1. The R project, www.r-project.org.

  2. Korea Meteorological Administration, http://web.kma.go.kr/eng.

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Acknowledgments

This work was supported by the Korea Foundation for the Advancement of Science and Creativity (KOFAC), and funded by the Korean Government (MOE).

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Authors and Affiliations

  1. Intelligent System Laboratory, School of Computer Information Engineering, Sangji University, 83, Sangjidae-gil, Wonju-si, Gangwon-do, 220-702, Korea

    Hoill Jung

  2. School of Computer Information Engineering, Sangji University, 83, Sangjidae-gil, Wonju-si, Gangwon-do, 220-702, Korea

    Kyungyong Chung

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Correspondence to Kyungyong Chung.

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Jung, H., Chung, K. PHR Based Life Health Index Mobile Service Using Decision Support Model. Wireless Pers Commun 86, 315–332 (2016). https://doi.org/10.1007/s11277-015-3069-8

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