“…The increase in the number of devices, applications, and parties increases the risk of data compromise. Integrity ensures the health data offered to any entity or captured via a system are consistent and accurate through the intended information and not modified in any method [ 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 ]. E-health cloud requires high reliability.…”
Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.
“…The increase in the number of devices, applications, and parties increases the risk of data compromise. Integrity ensures the health data offered to any entity or captured via a system are consistent and accurate through the intended information and not modified in any method [ 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 ]. E-health cloud requires high reliability.…”
Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.
“…The related works, including Blockchain technologies, pulled from the two databases (Scopus and Web of Science) using keywords ("Blockchain", "Lightweight", "IoT", "healthcare"), are about 76 works. From these previous proposed works, 31 of them ( [34], [36]- [65]) are retained. These last offer lightweight blockchain solutions to secure health monitoring systems based on the Internet of Things.…”
Nowadays, information represents an important resource for any organization and to ensure its management, it is important to set up an information system. The latter being essential in various fields, it can bring improvements in the care of patients and in the quality of health services. However, the use of information and communication technologies on the quality of health services was exclusive in developed countries. It is with this in mind that we have focused our study on the proposal of architecture to make hospital intelligent based on the Internet of Things (IoT) and the Blockchain. To do this, we used three databases namely Scopus, Web of Science and PubMed. First, we collected references to open-source Hospital Information Systems (OS HIS) and we were able to extract thirteen popular projects of which seven are active and 6 are not. Then, we continued our study with the seven active projects. Second, we collected references to IoT architectures for healthcare and after extensive reading we opted for a three-layer architecture (perception layer, network layer and application layer). Third, we collected references to lightweight blockchains and after in-depth reading of the documents found, we selected the Hyperledger foundation which was created to ensure the promotion of blockchain through an open-source ecosystem. As a result, we were able to come up with a three-layer architecture which is on the concepts of IoT and Blockchain. The proposed work is promising and can be used as a reference for the deployment of a hospital information system in an environment with limited resources.
“…Prior to introducing a reference IoT-based architecture, it is essential to comprehend the general idea of IoT. IoT is defined as “the interconnection of heterogeneous devices that can be controlled and adjusted remotely over a wireless infrastructure in order to eliminate human interactions and increase productivity” [ 66 ]. In another article [ 67 ], IoT is defined as a collection of computing devices that can monitor and transmit data from an environment over the Internet in order to provide consumers with services and information.…”
Section: Ehealth: An Overview Of Architecturesmentioning
confidence: 99%
“…In terms of important technological efforts in establishing IoT-based architectures for eHealth systems, the authors of [ 66 ] discussed current IoT-based designs in the literature and also proposed a three-layered architecture. These layers consisted of a perceptron, a network layer, and an application layer.…”
Section: Ehealth: An Overview Of Architecturesmentioning
The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in the study and development of eHealth systems. Although it is almost impossible to cover all aspects of eHealth in a single discussion, three critical areas have gained traction. These include the need for acceptable eHealth architectures, the development of mobile health (mHealth) technologies, and the need to address eHealth system security concerns. Existing survey articles lack a synthesis of the most recent advancements in the development of architectures, mHealth solutions, and innovative security measures, which are essential components of effective eHealth systems. Consequently, the present article aims at providing an encompassing survey of these three aspects towards the development of successful and efficient eHealth systems. Firstly, we discuss the most recent innovations in eHealth architectures, such as blockchain-, Internet of Things (IoT)-, and cloud-based architectures, focusing on their respective benefits and drawbacks while also providing an overview of how they might be implemented and used. Concerning mHealth and security, we focus on key developments in both areas while discussing other critical topics of importance for eHealth systems. We close with a discussion of the important research challenges and potential future directions as they pertain to architecture, mHealth, and security concerns. This survey gives a comprehensive overview, including the merits and limitations of several possible technologies for the development of eHealth systems. This endeavor offers researchers and developers with a quick snapshot of the information necessary during the design and decision-making phases of the eHealth system development life cycle. Furthermore, we conclude that building a unified architecture for eHealth systems would require combining several existing designs. It also points out that there are still a number of problems to be solved, so more research and investment are needed to develop and deploy functional eHealth systems.
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