IoT-based asset management system for healthcare-related industries

Carman Ka Man Lee, Cheng Mei Na, Ng Chun Kit

Research output: Journal article publicationJournal articleAcademic researchpeer-review

28 Citations (Scopus)

Abstract

The healthcare industry has been focusing efforts on optimizing inventory management procedures through the incorporation of Information and Communication Technology, in the form of tracking devices and data mining, to establish ideal inventory models. In this paper, a roadmap is developed towards a technological assessment of the Internet of Things (IoT) in the healthcare industry, 2010-2020. According to the roadmap, an IoT-based healthcare asset management system (IoT-HAMS) is proposed and developed based on Artificial Neural Network (ANN) and Fuzzy Logic (FL), incorporating IoT technologies for asset management to optimize the supply of resources.

Original languageEnglish
Article number19
Number of pages9
JournalInternational Journal of Engineering Business Management
Volume7
DOIs
Publication statusPublished - 20 Nov 2015

Keywords

  • Fuzzy logic
  • Healthcare management
  • Internet of things
  • Neural network
  • Technology roadmapping

ASJC Scopus subject areas

  • Organizational Behavior and Human Resource Management
  • Management Science and Operations Research

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