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.

Highlights

  • A “smart hospital” is a concept that emerged as a result of rapid digitalization across the healthcare industries with the use of key enabling technologies, mainly Internet of Things (IoT), data analytics, availability of personalized services and Artificial Intelligence (AI)

  • 4 Energy Consumption: The IoT network consists of smart devices that operate based on energy consumption and are designed to sense and react to changes in their environment

  • 4 main factors need to be considered, these are; 1 Selection of appropriate intelligent technology: In order to design appropriate intelligent decision-making systems, the designer should answer of the following questions; (a) When is the intelligent decision required? (b) Which type of intelligence is required for a smart hospital and why? (c) Which type of devices are needed? (d) Who needs to see intelligent results and who needs to be intelligent?

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Summary

Introduction

A “smart hospital” is a concept that emerged as a result of rapid digitalization across the healthcare industries with the use of key enabling technologies, mainly Internet of Things (IoT), data analytics, availability of personalized services and Artificial Intelligence (AI). The information exchange is provided with a continuous flow between patients, doctors, pharmaceutical and biomedical suppliers, etc In this sense, IoT uses advanced IT technology to integrate the various components of a (2020) 9:67 collaborative network to improve the efficiency, service capability, and flexibility between smart devices. Which data analytic methods will be used to analyze sensed data, including how the data will be collected from each stakeholder, should be defined These steps are exactly a perception system design and do increase the quality of the service (QoS), and ensure that the information required by each stakeholder is delivered in a timely and accurate manner. Hand, they can be used to transmit patient data to the smart hospital database

Data Acquisition Design
Selection of Data integration platforms
Energy Consumption
Communication Types
Security
Computing Technologies
Information Processing Design
Selection of appropriate intelligent technology
Database - Data Warehouse Design
Application Design
Service Platform
Current Technologies
Data-Driven Approach
Knowledge based approaches
Findings
Conclusions and future perspectives
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