Determinants of RFID Adoption Intention in the Healthcare Industry for Patient Monitoring

2022 ◽  
pp. 197-213
Author(s):  
Bijoylaxmi Sarmah ◽  
Shampy Kamboj ◽  
Neeraj Kumar Phookan
Keyword(s):  
Data Storage ◽  
Radio Frequency Identification ◽  
Patient Management ◽  
Healthcare Sector ◽  
Healthcare Industry ◽  
Rfid Technology ◽  
Wireless Data ◽  
Automatic Retrieval ◽  
Frequency Identification ◽  
Adoption Intention

Radio frequency identification (RFID) technology holds tremendous potential in improving the patient management system in hospitals attaining global importance in the healthcare industry due to the spread of the COVID-19 pandemic at present. RFID assists in wireless data storage and automatic retrieval, making systems efficient, improving patient safety, and decreasing costs. Although RFID is an emerging technology in the healthcare industry, its adoption is yet to gather momentum. This chapter will provide a background for healthcare practitioners and researchers about RFID technologies in the healthcare sector. Moreover, an integrated conceptual framework will be proposed consisting of factors that influence RFID technology adoption intention in the healthcare industry. This study will be the first of its kind to identify and classify various factors of RFID adoption intention and provide a comprehensive model using an exploratory method laying the foundation for academicians and industry practitioners for the future scope of its research.

Radio frequency identification: the big role player in health care management

2011 ◽  
Vol 25 (5) ◽  
pp. 490-505 ◽  
Author(s):  
Yahia Zare Mehrjerdi
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Healthcare Management ◽  
Healthcare Industry ◽  
Rfid Technology ◽  
Technology Study ◽  
Content Type ◽  
The Road ◽  
Management Literature ◽  
Frequency Identification

PurposeThis paper seeks to review the fundamental concepts of radio frequency identification (RFID) and to discuss the fact that the road to success for healthcare systems is the thorough management of patients, employees, equipment, medications, and records throughout the industry. Thereafter, it aims to prepare a deep review of the technology, study seven new cases on the topic of healthcare management and deliver a broad applications area thereof.Design/methodology/approachThe paper identifies key elements of RFID through the review of healthcare management literature and case studies. For this purpose, seven cases from the healthcare industry are reviewed to demonstrate the extent of the applications of RFID in this area.FindingsTo make healthcare management systems functional and successfully operational, RFID solutions can be used to reduce operating costs through management of patients, employees, equipment, medications, and records to improve tracking and tracing, and preventing the lost of resources under any circumstances.Originality/valueThis paper delivers a review of RFID on the healthcare industry. For this reason, the basic and key point on RFID technology is discussed and seven cases from the literature are reviewed.

scholarly journals Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 776
Author(s):  
Xiaohui Tao ◽  
Thanveer Basha Shaik ◽  
Niall Higgins ◽  
Raj Gururajan ◽  
Xujuan Zhou
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Radio Frequency Identification ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Remote Patient Monitoring ◽  
Rfid Technology ◽  
Rpm System ◽  
Frequency Identification ◽  
Remote Patient

Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and gain patient related information in clinics. RPM can be achieved with noninvasive digital technology without hindering a patient’s daily activities and can enhance the efficiency of healthcare delivery in acute clinical settings. In this study, an RPM system was built using radio frequency identification (RFID) technology for early detection of suicidal behaviour in a hospital-based mental health facility. A range of machine learning models such as Linear Regression, Decision Tree, Random Forest, and XGBoost were investigated to help determine the optimum fixed positions of RFID reader–antennas in a simulated hospital ward. Empirical experiments showed that Decision Tree had the best performance compared to Random Forest and XGBoost models. An Ensemble Learning model was also developed, took advantage of these machine learning models based on their individual performance. The research set a path to analyse dynamic moving RFID tags and builds an RPM system to help retrieve patient vital signs such as heart rate, pulse rate, respiration rate and subtle motions to make this research state-of-the-art in terms of managing acute suicidal and self-harm behaviour in a mental health ward.

scholarly journals A Model of the Environmental Burden of RFID Technology in the Slovak Republic

2021 ◽  
Vol 13 (7) ◽  
pp. 3684
Author(s):  
Bibiana Bukova ◽  
Jiri Tengler ◽  
Eva Brumercikova
Keyword(s):  
Radio Frequency Identification ◽  
Slovak Republic ◽  
Electronic Waste ◽  
Rfid Tags ◽  
Rfid Technology ◽  
Environmental Burden ◽  
The Core ◽  
Regulatory Approach ◽  
Frequency Identification ◽  
Model Household

The paper focuses on the environmental burden created by Radio Frequency Identification (RFID) tags in the Slovak Republic (SR). In order to determine the burden there, a model example was created to calculate electronic waste produced by households in the SR by placing RFID tags into municipal waste. The paper presents a legislative regulatory approach towards the environmental impacts from using RFID tags in the SR, as well as an analysis of the environmental burden of using RFID tags throughout the world. The core of the paper is focused on the research conducted in order to calculate the environmental burden of a model household in the SR, where the number of used RFID tags per year was observed; then, the volume of e-waste produced by households of the Slovak Republic per year was determined. In the conclusion, we provide the results of the research presented and discuss including our own proposal for solving the problems connected with the environmental burden of RFID technology.

scholarly journals A Framework for Assessing the Value of RFID Implementation by Tier-One Suppliers to Major Retailers

2008 ◽  
Vol 3 (1) ◽  
pp. 55-70
Author(s):  
Dharmaraj Veeramani ◽  
Jenny Tang ◽  
Alfonso Gutierrez
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Return On Investment ◽  
Real Life ◽  
Data Capture ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Frequency Identification ◽  
The Impact

Radio frequency identification (RFID) is a rapidly evolving technology for automatic identification and data capture of products. One of the barriers to the adoption of RFID by organizations is difficulty in assessing the potential return on investment (ROI). Much of the research and analyses to date of ROI in implementing RFID technology have focused on the benefits to the retailer. There is a lack of a good understanding of the impact of RFID at upper echelons of the supply chain. In this paper, we present a framework and models for assessing the value of RFID implementation by tier-one suppliers to major retailers. We also discuss our real-life application of this framework to one of Wal-Mart’s top 100 suppliers

Improving logistics processes of surgical instruments: case of RFID technology

2017 ◽  
Vol 23 (2) ◽  
pp. 448-466 ◽  
Author(s):  
Afrooz Moatari-Kazerouni ◽  
Ygal Bendavid
Keyword(s):  
Radio Frequency Identification ◽  
Business Processes ◽  
Surgical Instruments ◽  
Hospital Environment ◽  
Rfid Technology ◽  
Content Type ◽  
Realistic Potential ◽  
Simulation Techniques ◽  
Frequency Identification ◽  
Management Project

Purpose Since mid-2000s, hospitals have begun implementing radio-frequency identification (RFID) technology in order to improve their operations. The purpose of this paper is to explore the potential of RFID technology in improving the traceability of surgical instruments in a hospital environment. Design/methodology/approach A case study is conducted at a teaching hospital in Montreal, Canada. Business process reengineering approach and simulation techniques are used to assess the realistic potential of the RFID technology. The application of different scenarios and how they influence the efficiency of process flow between the central sterilization department and operating rooms of the hospital is investigated. Findings Research outcomes demonstrated how tagging individual instruments or their sets lead to reduction of the time spent in re-processing the soiled instrument as well as the reduction of costs related to staff. Furthermore, specific key performance indicators are identified and eventual issues related to implementation of the re-designed processes are discussed. Originality/value Implementing RFID-enabled solutions in hospital context is still an emerging phenomenon that involves various stakeholders in a change management project. While implementing RFID technology can benefit hospitals by improving business processes and workflows, the adoption is still slow, especially for managing surgical instruments. It is, hence, crucial to compare the advantages and drawbacks of RFID-enabled surgical instruments solutions with other well-established traceability technologies such as barcoding.

A RFID-Based Monitoring System for Abnormal Logistics Events in Internal Material Supply Chain

2011 ◽  
Vol 179-180 ◽  
pp. 949-954 ◽  
Author(s):  
Xiao Hua Cao ◽  
Juan Wan
Keyword(s):  
Supply Chain ◽  
Monitoring System ◽  
Radio Frequency Identification ◽  
Accurate Information ◽  
Prototype System ◽  
Rfid Technology ◽  
Material Management ◽  
Production Logistics ◽  
Material Supply ◽  
Frequency Identification

Internal material supply management for manufacturing workshops usually suffers from message delay and abnormal logistics events, which seriously holdback the reactivity capability of production system. As a rapid, real-time, accurate information collection tools, Radio Frequency identification (RFID) technology has become an important driver in the production and logistics activities. This paper presents a new idea that uses RFID technology to monitor real-timely the abnormal logistics events which occur at each work space in the internal material supply chain and proposes its construction method in details. With the experimental verification of prototype system, the proposed RFID-based monitoring system can find in time the abnormal logistics events of internal material supply chain and largely improve the circulation velocity of production logistics, and reduce the rate of mistake which frequently occurred in traditional material management based on Kanban.

An RFID-Driven Graphical Formalized Deduction for Describing the Time-Sensitive State and Position Changes of Work-in-Progress Material Flows in a Job-Shop Floor

2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Pingyu Jiang ◽  
Wei Cao
Keyword(s):  
Radio Frequency Identification ◽  
Manufacturing Systems ◽  
Job Shop ◽  
Numerical Control ◽  
Shop Floor ◽  
Cnc Milling ◽  
Rfid Technology ◽  
Material Flows ◽  
Work In Progress ◽  
Frequency Identification

As a key advanced manufacturing technology in next generation manufacturing systems, radio frequency identification (RFID) technology is considered to be one of the most promising technological innovations with the potential to increase visibility and improve efficiency. Therefore, research about RFID and its applications are increasing by blasting with all kinds of RFID models in various fields, especially in manufacturing. By introducing RFID technology into the job-shop floor, this paper proposes a systematic RFID-driven graphical formalized deduction model (rfid-GFDM) for describing the time-sensitive state and position changes of work-in-progress (WIP) material flows and guiding where to deploy RFID devices and how to use them for collecting real-time on-site data. Four steps including RFID configuration based on the process flow model, state blocks model, automatic event generation, and extended event-driven model are proposed one by one to support the implementation of rfid-GFDM. The nature of RFID technology is revealed, too. A use case about a computer numerical control (CNC) milling system is studied, and it demonstrates the feasibility of the proposed model. Finally, the possibility of popularizing the model to other field is discussed, too. It is expected to establish a normative RFID modeling method that will facilitate the convenience of RFID applications in a broad scope.

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