Big data and IoT solution for patient behaviour monitoring

Kwok Tai Chui, Ryan Wen Liu, Miltiadis D. Lytras, Mingbo Zhao

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)

Abstract

The study of patient behaviours (vital sign, physical action and emotion) is crucial to improve one’s quality of life. The only solution for handling and managing millions of people’s behaviours and health would be big data and IoT technology because most of the countries are lack of medical professionals. In this paper, a big data and IoT-based patient behaviour monitoring system have proposed. Qualitative studies are carried out on the selected behaviours analytics, cardiovascular disease identification and fall detection. At last, authors have summarised the general challenges like trust, privacy, security and interoperability as well as special challenges in various sectors: government, legislators, research institutions, information technology companies and patients.

Original languageEnglish
Pages (from-to)940-949
Number of pages10
JournalBehaviour and Information Technology
Volume38
Issue number9
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • Behaviour analytics
  • big data
  • internet of things
  • knowledge discovery
  • machine learning analytics
  • patient monitoring

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