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      Analysis of factors affecting IoT-based smart hospital design

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          Abstract

          Currently, rapidly developing digital technological innovations affect and change the integrated information management processes of all sectors. The high efficiency of these innovations has inevitably pushed the health sector into a digital transformation process to optimize the technologies and methodologies used to optimize healthcare management systems. In this transformation, the Internet of Things (IoT) technology plays an important role, which enables many devices to connect and work together. IoT allows systems to work together using sensors, connection methods, internet protocols, databases, cloud computing, and analytic as infrastructure. In this respect, it is necessary to establish the necessary technical infrastructure and a suitable environment for the development of smart hospitals. This study points out the optimization factors, challenges, available technologies, and opportunities, as well as the system architecture that come about by employing IoT technology in smart hospital environments. In order to do that, the required technical infrastructure is divided into five layers and the system infrastructure, constraints, and methods needed in each layer are specified, which also includes the smart hospital’s dimensions and extent of intelligent computing and real-time big data analytic. As a result of the study, the deficiencies that may arise in each layer for the smart hospital design model and the factors that should be taken into account to eliminate them are explained. It is expected to provide a road map to managers, system developers, and researchers interested in optimization of the design of the smart hospital system.

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          Most cited references 192

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          Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

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            Internet of Things in Industries: A Survey

             Li Xu,  Wu-bin He,  Shancang Li (2014)
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              Artificial Intelligence (AI) applications for COVID-19 pandemic

              Background and aims Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.
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                Author and article information

                Contributors
                bcalis@marmara.edu.tr
                okayertug@gmail.com
                erkandursun@marmara.edu.tr
                Journal
                J Cloud Comp
                Journal of Cloud Computing
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2192-113X
                26 November 2020
                26 November 2020
                2020
                : 9
                : 1
                Affiliations
                [1 ]GRID grid.16477.33, ISNI 0000 0001 0668 8422, Engineering Faculty, Department of Industrial Engineering, , Marmara University, ; Istanbul, 34722 Turkey
                [2 ]BSH Turkey, Poligon Street, Buyaka 2 Residentials, 8, 1st, Istanbul, 34771 Turkey
                [3 ]GRID grid.16477.33, ISNI 0000 0001 0668 8422, Faculty of Technology, Electrical and Electronics Engineering, , Marmara University, ; Istanbul, 34722 Turkey
                Article
                215
                10.1186/s13677-020-00215-5
                7689393
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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                Research
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                © The Author(s) 2020

                iot, smart hospital, smart hospital design, iot layers

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