Volume 9, Issue 4 (3-2023)                   jhbmi 2023, 9(4): 267-276 | Back to browse issues page


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Yadegari F, Asosheh A. Introducing a Service Model in IoT-based Smart Hospital. jhbmi 2023; 9 (4) :267-276
URL: http://jhbmi.ir/article-1-734-en.html
PhD in Computer and Telecommunication Engineering (voice transmission), Assistant Professor, Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
Abstract:   (1369 Views)
Introduction: Nowadays, the world of technology is facing a growing phenomenon called the Internet of Things (IoT). The purpose of this study is to provide the infrastructure requirements, service model, and conceptual model for a smart hospital based on IoT, which is a safe and reliable method due to the integration of exchanges between objects.
Method: In this strategic applied study, the infrastructure requirements of a smart hospital based on IoT are explained explains. First, basic requirements were prepared through library studies and, by setting up a questionnaire for medical staff and specialists in medical informatics, information technology, and health information technology, they were evaluated and then finalized using the Delphi technique. Then, based on extracted requirements, the service model of a smart hospital was presented. Finally, the conceptual model of IoT-based smart hospital infrastructure was suggested.
Results: Thirty functional and non-functional requirements for IoT-based smart hospital infrastructure were determined. After that, the proposed model of services that can be provided in the hospital, including infrastructure, core and value-added services, was presented. Then, a conceptual model that includes the health ecosystem of the country, consisting of the levels of communication and information infrastructure, digital service systems, and the health system was provided.
Conclusion: Agreement on the requirements, service and conceptual model, will help to design and implement the IoT-based smart hospital and make it more accurate and simple, according to factors affecting such as precision, speed and reliability in healthcare.
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Type of Study: Original Article | Subject: Artificial Intelligence in Healthcare
Received: 2022/11/23 | Accepted: 2023/02/7

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