Analysis of factors affecting IoT-based smart hospital design

被引:78
作者
Uslu, Banu Calis [1 ]
Okay, Ertug [2 ]
Dursun, Erkan [3 ]
机构
[1] Marmara Univ, Engn Fac, Dept Ind Engn, TR-34722 Istanbul, Turkey
[2] BSH Turkey, Poligon St,Buyaka 2 Residentials,8,1st, TR-34771 Istanbul, Turkey
[3] Marmara Univ, Fac Technol Elect & Elect Engn, TR-34722 Istanbul, Turkey
来源
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS | 2020年 / 9卷 / 01期
基金
英国科研创新办公室;
关键词
IoT; Smart hospital; Smart hospital design; IoT layers; HEALTH-CARE-SYSTEMS; THINGS IOT; BIG DATA; DATA INTEROPERABILITY; INTERNET; NETWORK; SENSOR; MODEL; FOG; ACCESS;
D O I
10.1186/s13677-020-00215-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:23
相关论文
共 204 条
[1]   DITrust Chain: Towards Blockchain-Based Trust Models for Sustainable Healthcare IoT Systems [J].
Abou-Nassar, Eman M. ;
Iliyasu, Abdullah M. ;
El-Kafrawy, Passent M. ;
Song, Oh-Young ;
Bashir, Ali Kashif ;
Abd El-Latif, Ahmed A. .
IEEE ACCESS, 2020, 8 :111223-111238
[2]   Scheduling Internet of Things requests to minimize latency in hybrid Fog-Cloud computing [J].
Aburukba, Raafat O. ;
AliKarrar, Mazin ;
Landolsi, Taha ;
El-Fakih, Khaled .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 111 :539-551
[3]   Scalability analysis of multiple LoRa gateways using stochastic geometry [J].
Aftab, Noman ;
Zaidi, Syed Ali Raza ;
McLernon, Des .
INTERNET OF THINGS, 2020, 9
[4]   The application of internet of things in healthcare: a systematic literature review and classification [J].
Ahmadi, Hossein ;
Arji, Goli ;
Shahmoradi, Leila ;
Safdari, Reza ;
Nilashi, Mehrbakhsh ;
Alizadeh, Mojtaba .
UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, 2019, 18 (04) :837-869
[5]   Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications [J].
Al-Fuqaha, Ala ;
Guizani, Mohsen ;
Mohammadi, Mehdi ;
Aledhari, Mohammed ;
Ayyash, Moussa .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04) :2347-2376
[6]  
Al-Joboury I.M., 2018, Iraqi J. Inform. Commun. Technol., V1, P18, DOI [10.31987/ijict.1.1.7, DOI 10.31987/IJICT.1.1.7]
[7]   Data Distribution Service (DDS) based implementation of Smart grid devices using ANSI C12.19 standard [J].
AL-Madani, Basem ;
Ali, Hassan .
14TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC 2017) / 12TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC 2017) / AFFILIATED WORKSHOPS, 2017, 110 :394-401
[8]  
Al-Qaseemi SA, 2016, PROCEEDINGS OF 2016 FUTURE TECHNOLOGIES CONFERENCE (FTC), P731, DOI 10.1109/FTC.2016.7821686
[9]   Price-based data delivery framework for dynamic and pervasive IoT [J].
Al-Turjman, Fadi .
PERVASIVE AND MOBILE COMPUTING, 2017, 42 :299-316
[10]   Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks [J].
Alarifi, Abdulaziz ;
Tolba, Amr .
COMPUTERS IN INDUSTRY, 2019, 106 :133-141