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Indian Journal of Public Health Research & Development
Year : 2018, Volume : 9, Issue : 3
First page : ( 673) Last page : ( 682)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2018.00366.2

Designing Medical Service Management Model of users using Iot Devices

Jeong yoon-Su1, Shin Seung-Soo2

1Division of Information and Communication Convergence Engineering, Mokwon University, 88 Doanbuk-ro, Seogu, Daejeon

2Department of Information Security, Tongmyong University, 428, Sinseon-ro, Nam-gu, Busan, Korea

Online published on 14 May, 2018.

Abstract

IoT is used in various academic fields including healthcare. IoT is redesigning modern medical services from a technical, economic, and social point of view. Recently, IoT medical service has been attracting attention especially among various medical services. to prepare socially emerging elderly medical services. The proposal model not only enables disease management and diagnosis of patients who visited the hospital by using IoT device, but also assigns a probability value to the disease information attribute of the patient so that the diagnosis of the medical staff can be easily handled based on the information collected from the IoT device. In particular, the proposed model improves accessibility to patient disease information by providing health information to the diseases collected through IoT devices and linking them with each other. In addition, the proposed model guarantees the accuracy of disease information because it checks the similarity with existing disease by hierarchical structure of the information collected through IoT device. As a result of the performance evaluation, the accuracy of medical information processing of users receiving medical service using IoT devices was found to be 23.6% higher than that of users who do not use IoT devices. The efficiency of in-hospital medical service was improved by up to 31.8% than the users who did not use IoT device. Also, the processing time when IoT medical service was used was 25.9% less than when IoT medical service was not used. The higher the number of users who did not use IoT health services, the higher the average work overhead was on average 27.5% than the IoT health care users.

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Keywords

IoT, Medical Service, Healthcare, Management Model, Disease Information.

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