Overview of Medical Data Management Solutions for Research Communities

Camarasu-Pop, Sorina; Cervenansky, Frédéric; Cardenas, Yonny; Nief, Jean-Yves; Benoit-Cattin, Hugues

doi:10.1109/ccgrid.2010.55

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Furthermore, Cloud Computing has become an essential resource for alleviating the scalability challenges arising from the rapid growth in HCPS devices and the massive amount of data they generate [55]. Sai Lohitha et al [56] provided a new technique to enhance data processing efficiency in Cloud-based systems.…”

Section: ) Cloud Computingmentioning

confidence: 99%

Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review

Khater,

Sallabi,

Serhani

et al. 2024

IEEE Access

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Cyber-physical systems (CPS) are recognized for their intelligence as they seamlessly interact with humans, enhancing the physical world through computation, communication, and control. Over the last few years, the evolution of CPS, including IoT components, has significantly impacted many facets of people's lifestyles. It has been immersed in a wide range of services and applications in various areas, including manufacturing, healthcare, and energy. However, the interrelationship between the cyber and physical worlds gives rise to a multitude of research problems and challenges. In the healthcare field, for instance, CPS introduces complexities related to interoperability, privacy, data security, and real-time data processing with critical implications for the reliability and safety of medical processes. To address these challenges and harness the full potential of CPS in healthcare, this paper, through a comprehensive literature review, aims to discuss cutting-edge CPS technologies and solutions that hold promise for healthcare applications. To this end, we propose a comprehensive architectural model that can serve as a benchmark for implementing CPS in healthcare applications. This model thoroughly details how services, components, and technologies can be integrated to transform massive raw data collected from the physical world into valuable information for an enhanced decision-making process. Finally, a use case on healthcare CPS is presented, outlining its characteristics, the role that different technologies have played in its development, and the major challenges in implementing such systems successfully. This study provides a cohesive understanding of the role CPS can play in empowering healthcare while offering insights into the challenges, and future research trends.INDEX TERMS Cyber-physical systems, Healthcare, Real-Time processing, IoT.

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Section: ) Cloud Computingmentioning

confidence: 99%

Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review

Khater,

Sallabi,

Serhani

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Furthermore, the current tendency is to use a cloud environment to share and manage massive amounts of distributed medical data, including EHR and lab test results, throughout the ehealth system. Cloud storage services offer a viable and scalable solution to such massive data management challenges [11] [12] [13] [14].…”

Section: Introductionmentioning

confidence: 99%

PRMS: Design and Development of Patients’ E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms

et al. 2022

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In the current digital era, personal data storage on public platforms is a major cause of concern with severe security and privacy ramifications. This is true especially in e-health data management since patient's health data must be managed following a slew of established standards. The Cloud Service Providers (CSPs) primarily provide computing and storage resources. However, data security in the cloud is still a major concern. In several instances, Blockchain technology rescues the CSPs by providing the robust security to the underlying data by encrypting data using the unique and secret keys. Each network user in Blockchain has its own unique and secret keys linked directly to the transaction keys as a digital signature to protect the data. However, Blockchain technology suffers from the latency and throughput issues in high workload scenarios. To overcome e-healthcare records privacy issues in a third-party cloud, we designed a Patient's E-Healthcare Records Management System (PRMS) that focuses on latency and throughput. A comprehensive performance analysis of PRMS is carried out on different third-party clouds to validate its applicability. Moreover, the proposed PRMS system is compared with Blockchain platforms such as Hyperledger Fabric v0.6 and Etherium 1.5.8 against latency and throughput by adjusting the workload for each platform up to 10,000 transactions per second. The proposed PRMS is compared to the Secure and Robust Healthcare-Based Blockchain (SRHB) approach using Yahoo Cloud Serving Benchmark (YCSB) and small bank datasets. The experimental results indicate that deploying PRMS on Amazon Web Services decreases System Execution Time (SET) and the Average Delay (AD) time by 2.4%, 8.33%, and 25.15%, 15.26%, respectively. Additionally, deploying PRMS on the Google Cloud Platform decreases System Execution Time (SET) and Average Delay (AD) by 2.27%, 2.4%, and 2.72%, 4.73% AD, respectively. The experimental results confirm the superiority of the PRMS under the high workload scenario over SRHB and its applicability in cloud data centers.

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Overview of Medical Data Management Solutions for Research Communities

Cited by 2 publications

References 16 publications

Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review

Empowering Healthcare With Cyber-Physical System—A Systematic Literature Review

PRMS: Design and Development of Patients’ E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms

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