Blockchain and Healthcare

Epiphaniou, Gregory; Daly, Herbert; Al-Khateeb, Haider

doi:10.1007/978-3-030-11289-9_1

Cited by 22 publications

(10 citation statements)

References 27 publications

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“…The records are saved with the ownership of data assets, which is essential while dealing with patients and other records in healthcare systems 45 [CSF8] Standard rules and regulations: The healthcare sectors can introduce their standards, rules, and regulations in a system while regulating blockchain 46 [CSF9] Emphases on cultural shift: Implementing blockchain in healthcare systems gives breakthrough changes in many areas of society and governance, showing the cultural shift.…”

Section: Initial Results and Analysismentioning

confidence: 99%

“…[CSF9] Emphases on cultural shift: Implementing blockchain in healthcare systems gives breakthrough changes in many areas of society and governance, showing the cultural shift. The whole process is transparent enough to claim the authenticity of data or reports collected from the healthcare system 46 [CSF 10] Focus by government organizations: The use cases of blockchain can help improve the process of authenticity as blockchain provides private keys to share data with other system providers.…”

Section: Initial Results and Analysismentioning

confidence: 99%

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Towards roadmap to implement blockchain in healthcare systems based on a maturity model

Akbar

Leiva

Rafi

et al. 2022

J Software Evolu Process

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Healthcare systems face various issues related to complex networks of intermediaries and a lack of transaction traceability. The most critical issues are the fragmentation of healthcare data, obstacles in providing efficient research and services, lack of clinical trial reporting, high cost and mismanagement of the drug supply chain, patient data security, and fake drugs. Blockchain technology has the potential to address these criticalities as it has in build traceability mechanisms and promises new business models by enabling incentive structures. This potential of blockchain gathers a high interest in the health industry. However, the implementation of blockchain in healthcare faces various issues as well. Currently, there are no practice-oriented maturity models to improve such an implementation. In this paper, we present a roadmap to develop a maturity model for blockchain in healthcare (MMBH) based on critical barriers (CBs), critical success factors (CSFs), and the best practices for blockchain implementation in healthcare systems. As a first step to develop the MMBH, in this paper, we present the initial results of a systematic literature review (SLR) to identify critical success factors for implementing blockchain in healthcare systems. We also applied fuzzy technique order preference by similarity to ideal solution (TOPSIS) to prioritize the identified CSFs.

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Section: Initial Results and Analysismentioning

confidence: 99%

Section: Initial Results and Analysismentioning

confidence: 99%

Towards roadmap to implement blockchain in healthcare systems based on a maturity model

Akbar

Leiva

Rafi

et al. 2022

J Software Evolu Process

View full text Add to dashboard Cite

show abstract

“…e gathered data of the patient are stored in a database. e block-chain technology is implemented on data stored in the database, and then data stored in blocks remain secured and help in ensuring privacy with utmost transparency [22,23].…”

Section: An Architecture Of 5g and Block-chainmentioning

confidence: 99%

“…The gathered data of the patient are stored in a database. The block-chain technology is implemented on data stored in the database, and then data stored in blocks remain secured and help in ensuring privacy with utmost transparency [ 22 , 23 ]. These secured data are then stored in cloud storage and data in cloud storage are also stored in secured storage so that they would be of help in the future for the treatment of patients by checking their previous data.…”

Section: Overview and Architecturementioning

confidence: 99%

Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoT

Hameed

Bajwa

Sarwar

et al. 2021

Journal of Healthcare Engineering

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The Internet of Health Thing (IoHT) has various applications in healthcare. Modern IoHTintegrates health-related things like sensors and remotely observed medical devices for the assessment and managment of a patient's record to provide smarter and efficient health diagnostics to the patient. In this paper, we proposed an IoT with a cloud-based clinical decision support system for prediction and observation of disease with its severity level with the integration of 5G services and block-chain technologies. A block-chain is a system for storing and sharing information that is secure because of its transparency. Block-chain has many applications in healthcare and can improve mobile health applications, monitoring devices, sharing and storing of the electronic media records, clinical trial data, and insurance information storage. The proposed framework will collect the data of patients through medical devices that will be attached to the patient, and these data will be stored in a cloud server with relevant medical records. Deployment of Block-chain and 5G technology allows for sending patient data securely at a fast transmission rate with efficient response time. Furthermore, a Neural Network (NN) classifier is used for the prediction of diseases and their severity level. The proposed model is validated by employing different classifiers. The performance of different classifiers is measured by comparing the values to select the classifier that is the best for the dataset. The NN classifier attains an accuracy of 98.98. Furthermore, the NN is trained for the dataset so that it can predict the result of the dataset class that is not labeled. The trained Neural Network predicts and intelligently shows the results with more accuracy than other classifiers.

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“…The data are stored in the interconnected and interlocked contended devices. According to Kestenbaum, if in any system of blockchain data are altered then, the system rejects the process [13].…”

Section: -2-advancement In Blockchain Technologiesmentioning

confidence: 99%

Integration of Next Generation IIoT with Blockchain for the Development of Smart Industries

et al. 2020

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In modern era, a wide range of smart industries is being focus on automation-based applications. Various technologies are rapidly implementing in Industrial Internet of Things (IIoT) for manufacturing sectors that helping to achieve advanced schedule production framework and on time delivery of products. The integration of IIoT platforms with the blockchain are challenging service in manufacturing system. The primary objective of this article is to characterize various issues and challenges that are implementing IIoT and blockchain in industries. The proposed work is an integration of IIoT and blockchain in industrial processes for solving the security issues in real-time. Also, identifying various enablers of blockchain and issues of IIoT from smart industries manufacturing using a survey tool is formed in the form of questionnaire. Based on these responses Decision Making Trial and Evaluation Laboratory (DEMATEL) technique has been implemented for categorizing these challenges into cause and effect. In this paper, we introduce the general layout with their key issues and challenges of IIoT and blockchain that signifies the safety requirements to design the IIoT and blockchain. Further, we describe how IIoT can be integrated to the blockchain for smart Industrial applications. Finally, various recommendations are the proposed to upcoming IIoT and blockchain developments. The proposed work will be highly beneficial for the smart industries to develop a next generation IIoT and blockchain based framework.

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Blockchain and Healthcare

Cited by 22 publications

References 27 publications

Towards roadmap to implement blockchain in healthcare systems based on a maturity model

Towards roadmap to implement blockchain in healthcare systems based on a maturity model

Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoT

Integration of Next Generation IIoT with Blockchain for the Development of Smart Industries

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