Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65630
Title: IoT-based asset management system for healthcare-related industries
Authors: Lee, CKM 
Cheng, MN 
Ng, CK 
Keywords: Fuzzy logic
Healthcare management
Internet of things
Neural network
Technology roadmapping
Issue Date: 2015
Publisher: SAGE Publications
Source: International journal of engineering business management, 2015, v. 7, 19 How to cite?
Journal: International journal of engineering business management 
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.
URI: http://hdl.handle.net/10397/65630
EISSN: 1847-9790
DOI: 10.5772/61821
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