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Internet of Things (IoT) and Big Data Analytics in Healthcare

  • Janya Chanchaichujit
  • Albert Tan
  • Fanwen Meng
  • Sarayoot Eaimkhong
Chapter

Abstract

This chapter presents an overview of the Internet of Things (IoT) and big data analytics in healthcare. The healthcare supply chain is introduced in order to understand the material and information flow and how healthcare data is utilized. The concept of IoT as an element of Industry 4.0 and the healthcare industry is explained. IoT aims to identify, track and authenticate objects and people, in particular medical devices and patient data, for further analysis, which is where big data analytics plays a major role. The chapter is followed by a discussion of how to use big data analytics in healthcare and the challenges of and strategies for implementing big data. It aims to bridge existing knowledge in the literature and draws upon a prior big data analytics project in Singapore as a case study. The chapter concludes by highlighting lessons learnt from the use of IoT and big data analytics case studies in the healthcare delivery system.

Keywords

Internet of Things (IoT) Big data analytics Preventive Intervention Diabetes Singapore 

Notes

Acknowledgement

The authors would like to express their sincere gratitude to Dr Albert Tan’s students at Curtin University, Singapore, Mr. Do Tran Phuang Uyen for conducting a literature review on IoT for this chapter.

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Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Janya Chanchaichujit
    • 1
  • Albert Tan
    • 2
  • Fanwen Meng
    • 3
  • Sarayoot Eaimkhong
    • 4
  1. 1.School of ManagementWalailak UniversityThasalaThailand
  2. 2.Malaysia Institute for Supply Chain InnovationShah AlamMalaysia
  3. 3.Department of Health Services & Outcomes ResearchNational Healthcare GroupSingaporeSingapore
  4. 4.National Science and Technology Development AgencyPathum ThaniThailand

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