Blockchain Medical Data Sharing

Xia, Qi; Gao, Jianbin; Amofa, Sandro

doi:10.1002/9781119790839.ch11

Cited by 3 publications

(2 citation statements)

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“…Other studies have presented various approaches and frameworks, each providing unique benefits and facing its limitations and challenges [17][18][19][20]. Despite these promising efforts, these studies have left certain challenges unaddressed.…”

Section: Related Workmentioning

confidence: 99%

BioChainReward: A Secure and Incentivised Blockchain Framework for Biomedical Data Sharing

Elkhodr,

Gide,

Darwish

et al. 2023

IJERPH

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In the era of digital healthcare, biomedical data sharing is of paramount importance for the advancement of research and personalised healthcare. However, sharing such data while preserving user privacy and ensuring data security poses significant challenges. This paper introduces BioChainReward (BCR), a blockchain-based framework designed to address these concerns. BCR offers enhanced security, privacy, and incentivisation for data sharing in biomedical applications. Its architecture consists of four distinct layers: data, blockchain, smart contract, and application. The data layer handles the encryption and decryption of data, while the blockchain layer manages data hashing and retrieval. The smart contract layer includes an AI-enabled privacy-preservation sublayer that dynamically selects an appropriate privacy technique, tailored to the nature and purpose of each data request. This layer also features a feedback and incentive mechanism that incentivises patients to share their data by offering rewards. Lastly, the application layer serves as an interface for diverse applications, such as AI-enabled apps and data analysis tools, to access and utilise the shared data. Hence, BCR presents a robust, comprehensive approach to secure, privacy-aware, and incentivised data sharing in the biomedical domain.

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Section: Related Workmentioning

confidence: 99%

BioChainReward: A Secure and Incentivised Blockchain Framework for Biomedical Data Sharing

Elkhodr,

Gide,

Darwish

et al. 2023

IJERPH

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“…This research proposes a mechanism to handle four key research points: access control, interaction, privacy, and security of the Digital Twin. The need for secure data, reliable storage, trusted computing and other cooperative mechanisms with mutually beneficial interactions can be addressed using the blockchain [6][7][8][9] where a network of institutions and users collaborate to share data, collectively confer consensus-based validity on transactions, and PLOS ONE maintain a single coherent transactions history. Provenance of data and transactions can also be guaranteed since the blockchain provides rigorous mechanisms for data integrity using digital signatures and cryptographic hashes with timestamps [10].…”

Section: Introductionmentioning

confidence: 99%

Blockchain-secure patient Digital Twin in healthcare using smart contracts

Amofa,

Xia,

Xia

et al. 2024

PLoS ONE

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Modern healthcare has a sharp focus on data aggregation and processing technologies. Consequently, from a data perspective, a patient may be regarded as a timestamped list of medical conditions and their corresponding corrective interventions. Technologies to securely aggregate and access data for individual patients in the quest for precision medicine have led to the adoption of Digital Twins in healthcare. Digital Twins are used in manufacturing and engineering to produce digital models of physical objects that capture the essence of device operation to enable and drive optimization. Thus, a patient’s Digital Twin can significantly improve health data sharing. However, creating the Digital Twin from multiple data sources, such as the patient’s electronic medical records (EMR) and personal health records (PHR) from wearable devices, presents some risks to the security of the model and the patient. The constituent data for the Digital Twin should be accessible only with permission from relevant entities and thus requires authentication, privacy, and provable provenance. This paper proposes a blockchain-secure patient Digital Twin that relies on smart contracts to automate the updating and communication processes that maintain the Digital Twin. The smart contracts govern the response the Digital Twin provides when queried, based on policies created for each patient. We highlight four research points: access control, interaction, privacy, and security of the Digital Twin and we evaluate the Digital Twin in terms of latency in the network, smart contract execution times, and data storage costs.

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