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Innovative mHealth Solution for Reliable Patient Data Empowering Rural Healthcare in Developing Countries

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Big Data Analytics in Healthcare

Part of the book series: Studies in Big Data ((SBD,volume 66))

Abstract

Rural healthcare is a global issue. However, collection of health related data in a “timely and reliable” manner—as highlighted by World Health Organization in its 2018 “Monitoring Health for the Sustainable Development Goals” report remains a big challenge. This chapter reviews the general problems associated with collection of health data from rural areas where large percentages of populations of developing countries live. Two cases: one involving an innovative mHealth mobile tablet App (N+Care) designed to be used in rural areas in developing countries under a Japanese government funded research project and another a private initiative (A3: Anywhere Anytime Access) in India to provide mHealth services for providing remote medical care for remote populations. Both cases are intended to improve the credibility of data collection from rural areas in developing countries.

Jay Rajasekera and Yoshie Mori acknowledge the funding from Grant-in-Aid for Scientific Research by Japanese Government that contributed to findings in this chapter.

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Author information

Authors and Affiliations

  1. Graduate School of Business and Commerce, Tokyo International University, Kawagoe, Japan

    Jay Rajasekera

  2. Symbiosis Institute of Operations Management, Symbiosis International University, Pune, India

    Aditi Vivek Mishal

  3. Graduate School of Health Sciences, Gunma University, Maebashi, Japan

    Yoshie Mori

Authors
  1. Jay Rajasekera
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  2. Aditi Vivek Mishal
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  3. Yoshie Mori
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Corresponding author

Correspondence to Aditi Vivek Mishal .

Editor information

Editors and Affiliations

  1. Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, India

    Anand J. Kulkarni

  2. Université Paris-Est Créteil Val de Marne, Créteil, France

    Patrick Siarry

  3. ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior, Madhya Pradesh, India

    Pramod Kumar Singh

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  5. School of Engineering and Computer Science, Victoria University of Wellington, Kelburn, New Zealand

    Mengjie Zhang

  6. School of Computer Science, University of Sydney, Sydney, Australia

    Albert Zomaya

  7. Odette School of Business, University of Windsor, Windsor, ON, Canada

    Fazle Baki

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Rajasekera, J., Mishal, A.V., Mori, Y. (2020). Innovative mHealth Solution for Reliable Patient Data Empowering Rural Healthcare in Developing Countries. In: Kulkarni, A., et al. Big Data Analytics in Healthcare. Studies in Big Data, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-030-31672-3_6

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