ArticleJournal of cloud computing (Heidelberg, Germany)2020
Analysis of factors affecting IoT-based smart hospital design.
Article in Journal of cloud computing (Heidelberg, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Technological advancements and the use of key performance indicators in hospital management: a critical-conceptual review.Frontiers in health services · 2026Review
- From 5G smart hospitals to 6G-enabled learning hospitals: a governance-oriented framework for healthcare technology, policy, and responsible deployment.Frontiers in digital health · 2026Review
- Transition Toward Smart Hospitals: A Scoping Review of Features, Technologies, and Challenges.Health science reports · 2025Review
- An IoT based remote medical diagnosis system using one time pad cipher over MQTT protocol.Scientific reports · 2025Article
- Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises.Scientific reports · 2025Article
- Multi-resource constrained elective surgical scheduling with Nash equilibrium toward smart hospitals.Scientific reports · 2025Article
- Integrating 6G technology in smart hospitals: challenges and opportunities for enhanced healthcare services.Frontiers in medicine · 2025Article
- Forecasting the future of smart hospitals: findings from a real-time delphi study.BMC health services research · 2024Article
- ACGAN for Addressing the Security Challenges in IoT-Based Healthcare System.Sensors (Basel, Switzerland) · 2024Article
- Dynamical behaviour and meta heuristic optimization of a hospital management software system.Heliyon · 2024Article
- Analysis of Hospital Safety and Risk of Falls in the Elderly: A Cross-Sectional Study in Brazil.International journal of environmental research and public health · 2024Article
- Machine learning cryptography methods for IoT in healthcare.BMC medical informatics and decision making · 2024Article
- Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis.Sensors (Basel, Switzerland) · 2024Review
- Improving the latency for 5G/B5G based smart healthcare connectivity in rural area.Scientific reports · 2024Article
- Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics.The world journal of men's health · 2024Review
- Introduction to the cognitive hospital.Future healthcare journal · 2022Article
- User Utility Maximization in Narrowband Internet of Things for Prioritized Healthcare Applications.Sensors (Basel, Switzerland) · 2022Article
- Design and Optimisation of an Enterprise Digital Management System Based on IoT Monitoring.Computational intelligence and neuroscience · 2022Article
- Toward Rapid, Widely Available Autologous CAR-T Cell Therapy - Artificial Intelligence and Automation Enabling the Smart Manufacturing Hospital.Frontiers in medicine · 2022Article
- Real-Time Information Exchange Strategy for Large Data Volumes Based on IoT.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.