Blockchain-Enabled healthcare system for detection of diabetes

Chen, Mengji; Malook, Taj; Rehman, Ateeq Ur; Muhammad, Yar; Alshehri, Mohammad Dahman; Akbar, Aamir; Bilal, Muhammad; Khan, Muazzam A.

doi:10.1016/j.jisa.2021.102771

Cited by 55 publications

(26 citation statements)

References 21 publications

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“…While reviewing the projects, we divided the systems into two main topics: genomic data sharing and EHR sharing. While genomic data sharing studies are respectively Nebula Genomics, Zenome, Genecoin, Gene-Chain and DNATIX, the other studies; Medrec, IRYO, Coral Health, Patientory, Medicalchain, GemOS, e-Estonia, Liu et al (2019), IBM's Medical-Blockchain, Al Omar et al (2019), Tanwar, Parekh & Evans (2020, Niu et al (2020), Veeramakali et al (2021, Połap, Srivastava & Yu (2021), Chen et al (2021) and Arul et al (2021) are EHR sharing studies. To demonstrate the evolution of blockchain in EHR sharing systems, we divided the timeline into three parts: (i) proof of concept era, (ii) blockchain development era, and (iii) blockchain as a platform era.…”

Section: Discussionmentioning

confidence: 99%

“…When examined in Table 3, the main features of projects in the blockchain development era and blockchain as a platform era are seen. Among these 9 studies, while Liu et al ( 2019), IBM's Medical-Blockchain, Al Omar et al (2019), Tanwar, Parekh & Evans (2020 and Niu et al (2020) are in the blockchain development era; Veeramakali et al ( 2021), Połap, Srivastava & Yu (2021), Chen et al (2021) and Arul et al (2021) are in the blockchain as a platform era. Considering all the work, they are designed as private blockchains.…”

Section: Discussionmentioning

confidence: 99%

“…This table shows (i) the blockchain type, platform and consensus mechanism, (ii) data-keeping strategy, (iii) performance evaluation, and (iv) the supports such as disease prediction or patient monitoring. Proposed platforms in this time window are as follows; Liu et al ( 2019), IBM's Medical-Blockchain, Al Omar et al (2019), Tanwar, Parekh & Evans (2020, Niu et al (2020), Veeramakali et al (2021, Połap, Srivastava & Yu (2021), Chen et al (2021) and Arul et al (2021).…”

Section: Blockchain-based Systemsmentioning

confidence: 99%

“…It is promoted for removing centralized control and resolving AI problems by allowing secure sharing of data and resources among different nodes of the IoT network. For all these reasons, nowadays, it has been started to work on combining blockchain-based IoMT with AI techniques (Veeramakali et al, 2021;Połap, Srivastava & Yu, 2021;Chen et al, 2021).…”

Section: Artificial Intelligence and Blockchain Based Medical Data Managementmentioning

confidence: 99%

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Blockchain for genomics and healthcare: a literature review, current status, classification and open issues

Dedeturk

Soran

Bakır-Güngör

2021

PeerJ

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The tremendous boost in the next generation sequencing technologies and in the “omics” technologies resulted in the generation of hundreds of gigabytes of data per day. Nowadays, via integrating -omics data with other data types, such as imaging and electronic health record (EHR) data, panomics studies attempt to identify novel and potentially actionable biomarkers for personalized medicine applications. In this respect, for the accurate analysis of -omics data and EHR, there is a need to establish secure and robust pipelines that take the ethical aspects into consideration, regulate privacy and ownership issues, and data sharing. These days, blockchain technology has picked up significant attention in diverse fields, including genomics, since it offers a new solution for these problems from a different perspective. Blockchain is an immutable transaction ledger, which offers secure and distributed system without a central authority. Within the system, each transaction can be expressed with cryptographically signed blocks, and the verification of transactions is performed by the users of the network. In this review, firstly, we aim to highlight the challenges of EHR and genomic data sharing. Secondly, we attempt to answer “Why” or “Why not” the blockchain technology is suitable for genomics and healthcare applications in detail. Thirdly, we elucidate the general blockchain structure based on the Ethereum, which is a more suitable technology for the genomic data sharing platforms. Fourthly, we review current blockchain-based EHR and genomic data sharing platforms, evaluate the advantages and disadvantages of these applications, and classify these applications using different metrics. Finally, we conclude by discussing the open issues and introducing our suggestion on the topic. In summary, to facilitate the diagnosis, monitoring and therapy of diseases with the effective analysis of -omics data with other available data types, through this review, we put forward the possible implications of the blockchain technology to life sciences and healthcare.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Blockchain-based Systemsmentioning

confidence: 99%

Section: Artificial Intelligence and Blockchain Based Medical Data Managementmentioning

confidence: 99%

See 2 more Smart Citations

Blockchain for genomics and healthcare: a literature review, current status, classification and open issues

Dedeturk

Soran

Bakır-Güngör

2021

PeerJ

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“…In the future, substandard drugs will not be allowed into the healthcare system [15]. Blockchain-based machine learning solution for analyzing patient health data [16]. Mobile apps were used to collect outpatient data [17].…”

Section: Iirelated Workmentioning

confidence: 99%

Implementation of Blockchain Consortium to Prioritize Diabetes Patients’ Healthcare in Pandemic Situations

Subramanian

Thampy

2021

IEEE Access

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Diabetes is a metabolic disorder caused by high blood sugar levels, which can harm the kidneys, the heart, the eyes, and blood vessels. During the Covid-19 pandemic, diabetes patients were most affected. In the existing healthcare system, medical data is available in paper form or through a central server. Accessing the data from the central system and sharing it with all stakeholders would be a critical task during the pandemic. This research work deals with the design and implementation of a diabetes blockchain consortium. It can help all healthcare stakeholders to efficiently prioritize the needs of diabetes patients during a pandemic, such as oxygen beds, vaccinations, diabetes compensation, telemedicine, 5G-integrated remote location support, and other related records. The Ethereum sandbox simulation design is utilized to secure diabetes patients' healthcare records. The Interplanetary file system (IPFS) encrypts health data and sends it to the blockchain to ensure the privacy of personal healthcare information. The NEM symbol blockchain is used to develop this consortium as a proof-of-concept (PoC) model. Each stakeholder in a consortium is assigned NEM generated QR code to track records as a distributed ledger. A smart contract designed to run the diabetes blockchain application. Attribute-based encryption (ABE) authenticates users and restricts malicious nodes. Certainly, this research suggests aggregation of transactions and blocks in the blockchain, which would increase transaction speed, minimize transaction fees, and consume less power in a future blockchain design.

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MobEdge: Mobile blockchain‐based privacy‐edge scheme for healthcare Internet of Things‐based ecosystems

Deshmukh

Pathak

Bothe

2022

Concurrency and Computation

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Summary Centralized healthcare Internet of Things (HIoT)‐based ecosystems are challenged by high latency, single‐point failures, and privacy‐based attacks due to data exchange over open channels. To address the challenges, the shift has progressed toward decentralized HIoT setups that infuse computation closer to a patient node via edge services. As HIoT data are critical and sensitive, trust among stakeholders is a prime concern. To address the challenges, researchers integrated blockchain (BCH) into edge‐based HIoT models. However, the integration of lightweight BCH is required with an edge for proper interplay and leverage effective, scalable, and energy‐efficient computational processes for constrained HIoT applications. Owing to the existing gap, this article proposes a scheme MobEdge, that fuses lightweight BCH, and edge computing to secure HIoT. A local BCH client model is set up that forwards data to edge sensor gateways. The shared data are secured through an access tree control lock scheme that preserves the privacy of health records. For security and signing purposes, we have considered signcryption, and the validated records meta‐information are stored in an on‐chain structure. The scheme is compared on two grounds, security and simulation grounds. On the security front, we do cost evaluation and present a formal analysis model using the Automated Validation of Internet Security Protocols and Applications tool. An edge‐based BCH setup use‐case is presented, and parameters like mining cost, storage cost, edge servicing latency, energy consumption, BCH network usage, and transaction signing costs are considered. In the simulation, the mining cost is 0.6675 USD, and improvement of storage costs are improved by 18.34%, edge‐servicing latency is 384 ms, and signcryption improves the signing cost by 36.78% against similar schemes, that indicates the scheme viability in HIoT setups.

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Blockchain-Enabled healthcare system for detection of diabetes

Cited by 55 publications

References 21 publications

Blockchain for genomics and healthcare: a literature review, current status, classification and open issues

Blockchain for genomics and healthcare: a literature review, current status, classification and open issues

Implementation of Blockchain Consortium to Prioritize Diabetes Patients’ Healthcare in Pandemic Situations

MobEdge: Mobile blockchain‐based privacy‐edge scheme for healthcare Internet of Things‐based ecosystems

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