IoT-Based Asset Management System for Healthcare-Related Industries

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.

Internet of Things: A systematic review of the business literature from the user and organisational perspectives

“…Put differently, "the Internet of Things will allow people and things to be connected any time, any place, with anything and anyone, ideally using any path/network and any service" [1]. The term "things" acts as a new dimension of the extension of current existing human and application interaction, thus enabling people and objects to be connected, exchanging real time information via any path [1][2][3][4].…”

“…IoT technologies do not only contribute to the operation and management of business enterprises, but they also benefit social organisations such as hospitals. For instance, the healthcare industry can optimise inventory and asset management procedures by utilising IoT technologies in tracking and tracing objects, data mining, information collection and utilisation [3]. Following the roadmap of healthcare by IoT technologies from 2010 to 2020 developed by Man et al [3], studies in this domain have considered leveraging IoT technologies in medical asset management, optimising medical resources, monitoring the healthcare situation, and home healthcare.…”

“…For instance, the healthcare industry can optimise inventory and asset management procedures by utilising IoT technologies in tracking and tracing objects, data mining, information collection and utilisation [3]. Following the roadmap of healthcare by IoT technologies from 2010 to 2020 developed by Man et al [3], studies in this domain have considered leveraging IoT technologies in medical asset management, optimising medical resources, monitoring the healthcare situation, and home healthcare. The availability of increasing cheap wearable, implanted, and environmental sensors and RFID evokes the potential to develop personal Smart-Health systems and to produce and manage participatory medical knowledge [70].…”

“…The Internet of Things (IoT) promises a new technological paradigm, by connecting anything and anyone at any time and any place, using any path/network and any service [1][2][3][4]. The IoT vision is that of a "smart world" which is equipped with sensing technologies and smart components.…”

Knowledge management in cyberphysical systems: determining the quality requirements for health systems with the Kano model

“…The implementation of the IoT in healthcare systems depends on the transformation speed of the healthcare systems, on the investment of IT companies in this sector, and on the openness of customers to adopting and trusting the new healthcare delivery model. These factors could lead to the reorganisation from the actual hospital-centric model towards a hospital-home balanced model, and finally towards the home-centric healthcare model that is expected to be implemented in the next 15 years (Man et al, 2015). The healthcare management system needs to take into account the fact that the adoption of digitalisation and big data in medicine is pushing healthcare organisations to develop and invest in smart health technological solutions.…”