Accessing antecedents and outcomes of RFID implementation in health care

Reyes, Pedro; Li, Suhong; Visich, John K.

doi:10.1016/j.ijpe.2011.09.024

Cited by 54 publications

(27 citation statements)

References 55 publications

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“…This study could provide references pertaining to the predictions of important variables influencing the use of telecare and the relationship among these variables for researchers in related fields, technology developers, and policy makers [22–24]. …”

Section: Discussionmentioning

confidence: 99%

Model Construction for the Intention to Use Telecare in Patients with Chronic Diseases

Huang

Lee

2013

International Journal of Telemedicine and Applications

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Objective. This study chose patients with chronic diseases as study subjects to investigate their intention to use telecare. Methods. A large medical institute in Taiwan was used as the sample unit. Patients older than 20 years, who had chronic diseases, were sampled by convenience sampling and surveyed with a structural questionnaire, and a total of 500 valid questionnaires were collected. Model construction was based on the Health Belief Model. The reliability and validity of the measurement model were tested using confirmatory factor analysis (CFA), and the causal model was explained by structural equation modeling (SEM). Results. The priority should be on promoting the perceived benefits of telecare, with a secondary focus on the external cues to action, such as promoting the influences of important people on the patients. Conclusion. The findings demonstrated that patients with chronic diseases use telecare differently from the general public. To promote the use and acceptance of telecare in patients with chronic diseases, technology developers should prioritize the promotion of the usefulness of telecare. In addition, policy makers can strengthen the marketing from media and medical personnel, in order to increase the acceptance of telecare by patients with chronic diseases.

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Section: Discussionmentioning

confidence: 99%

Model Construction for the Intention to Use Telecare in Patients with Chronic Diseases

Huang

Lee

2013

International Journal of Telemedicine and Applications

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“…In a study carried out by [25], it was found out that managers agreed that incorporating RFID in healthcare could have many benefits as better patient care security and safety, and, as a result, improved organizational performance. The final result of improving those areas directly leads to increasing patient safety in healthcare environments because it gives them personalized care and carefully controls "the five rights" in the patients' care procedures, that is, Right patient, Right drug, Right dose, Right route, and Right time.…”

Section: Rfid Technologymentioning

confidence: 99%

The use of e-health technology in healthcare environment: The role of RFID technology

Madanian

2016

2016 10th International Conference on E-Commerce in Developing Countries: With Focus on E-Tourism (ECDC)

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E-health technologies are designed specifically for facilitating challenges in the healthcare environment, and in 2003 the area of e-health technologies was identified by the SDO Programme Board as an important area for future research [1]. E-health encompasses a variety of technologies from telemedicine and mobile health to big data, Electronic Healthcare Record (EHR), Decision Support System (DSS), Radio Frequency Identification (RFID), and a wide range of health services the final goal of which is to increase the quality of data, to reduce health errors, to enhance the health status of patients, and above all to facilitate taking care of the health requirement of the population [2].Among e-health technologies, RFID technology is chosen since it is considered one of the top 20 technologies until 2020 [3], and its usage in healthcare has become more popular because of its unique characteristics over the other e-health technologies.In this paper the attempt is to investigate the impact of ehealth technologies on today needs of healthcare industries with a special focus on the advantages of using RFID technology in healthcare.

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“…Harris et al (2015) also identify personnel reluctance to change or to learn new technology as a barrier. A lack of understanding about how IoT works, the possible benefits, and how to make the business case for IoT implementation were also found to be barriers by a number of researchers [19,[32][33][34]. Reyes et al (2012) also includes calculating the return on investment and the payback period in this category [34].…”

Section: Operationalmentioning

confidence: 99%

A Systematic Review of Impediments Blocking Internet of Things Adoption by Governments

Brous

Janssen

2015

Open and Big Data Management and Innovation

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Abstract. The Internet of Things (IoT) has high promises and might provide many benefits, yet has been given scant attention in e-government literature. Within the IoT, physical objects, "things", are networked and connected to the Internet. These "things" are able to identify themselves to and communicate with other devices or "things". There are many impediments blocking the adoption of IoT, and there is limited insight in these barriers. In this paper, impediments for the adoption of IoT are investigated by conducting a literature review and carrying out two case studies. The impediments found in literature were confirmed and extended using the case studies. Results show that impediments are interrelated and occur on the strategic, tactical and operational level. For adoption the impediments needs to be addressed in concert. Research on e-governance can benefit from understanding these interrelated impediments.

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Accessing antecedents and outcomes of RFID implementation in health care

Cited by 54 publications

References 55 publications

Model Construction for the Intention to Use Telecare in Patients with Chronic Diseases

Model Construction for the Intention to Use Telecare in Patients with Chronic Diseases

The use of e-health technology in healthcare environment: The role of RFID technology

A Systematic Review of Impediments Blocking Internet of Things Adoption by Governments

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