An Efficient Authentication Scheme for Blockchain-Based Electronic Health Records

Tang, Fei; Ma, Shuai; Xiang, Yong; Lin, Changlu

doi:10.1109/access.2019.2904300

Cited by 121 publications

(56 citation statements)

References 20 publications

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“…The third category covers HIT’s alignment with the health organizations’ goals to achieve specific health care outcomes such as health care quality and system satisfaction; 10% (7/70) papers focused on addressing the inefficiency of current health systems, such as lengthy processing times and the inability to simultaneously process large data volumes [ 16 , 24 , 28 , 37 , 55 , 67 , 77 ]. With regard to the quality of patient care, quite often, missing or incorrect health data lead to repetitive lab tests or diagnostic errors, which can be detrimental to patients’ health; 9% (6/70) papers discussed how blockchain can reduce misdiagnosis and overtreatment [ 27 , 32 , 35 , 40 , 78 , 79 ].…”

Section: Resultsmentioning

confidence: 99%

The Current State of Research, Challenges, and Future Research Directions of Blockchain Technology in Patient Care: Systematic Review

Durneva¹,

Cousins²,

Chen³

2020

J Med Internet Res

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Background Blockchain offers a promising new distributed technology to address the challenges of data standardization, system interoperability, security, privacy, and accessibility of medical records. Objective The purpose of this review is to assess the research on the use of blockchain technology for patient care and the associated challenges and to provide a research agenda for future research. Methods This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We queried the Cumulative Index of Nursing and Allied Health Literature (CINAHL), PubMed, Excerpta Medica dataBASE (EMBASE), and Web of Science databases for peer-reviewed research articles published up to December 2019 that examined the implementation of blockchain technology in health care settings. We identified 800 articles from which we selected 70 empirical research articles for a detailed review. Results Blockchain-based patient care applications include medical information systems, personal health records, mobile health and telemedicine, data preservation systems and social networks, health information exchanges and remote monitoring systems, and medical research systems. These blockchain-based health care applications may improve patient engagement and empowerment, improve health care provider access to information, and enhance the use of health care information for medical research. Conclusions Blockchain health information technology (HIT) provides benefits such as ensuring data privacy and security of health data, facilitating interoperability of heterogeneous HIT systems, and improving the quality of health care outcomes. However, barriers to using blockchain technology to build HIT include security and privacy vulnerabilities, user resistance, high computing power requirements and implementation costs, inefficient consensus algorithms, and challenges of integrating blockchain with existing HIT. With 51% of the research focused on medical information systems such as electronic health record and electronic medical record, and 53% of the research focused on data security and privacy issues, this review shows that HIT research is primarily focused on the use of blockchain technologies to address the current challenges HIT faces. Although Blockchain presents significant potential for disrupting health care, most ideas are in their infancy.

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Section: Resultsmentioning

confidence: 99%

The Current State of Research, Challenges, and Future Research Directions of Blockchain Technology in Patient Care: Systematic Review

Durneva¹,

Cousins²,

Chen³

2020

J Med Internet Res

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show abstract

“…Moreover, in the proposed blockchain network, participants have the rights to make decisions, here the trust in the system is not forced but is implicitly guided by user intuition [28]. In fact, the system allows all participants in the blockchain network to accept and verify algorithmically the submitted transactions, e.g., submitting a new claim, before being recorded cryptographically on the block.…”

Section: Proposed Blockchain-based and Ai-driven Insurance Netwomentioning

confidence: 99%

A Secure AI-Driven Architecture for Automated Insurance Systems: Fraud Detection and Risk Measurement

et al. 2020

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The private insurance sector is recognized as one of the fastest-growing industries. This rapid growth has fueled incredible transformations over the past decade. Nowadays, there exist insurance products for most high-value assets such as vehicles, jewellery, health/life, and homes. Insurance companies are at the forefront in adopting cutting-edge operations, processes, and mathematical models to maximize profit whilst servicing their customers claims. Traditional methods that are exclusively based on human-in-theloop models are very time-consuming and inaccurate. In this paper, we develop a secure and automated insurance system framework that reduces human interaction, secures the insurance activities, alerts and informs about risky customers, detects fraudulent claims, and reduces monetary loss for the insurance sector. After presenting the blockchain-based framework to enable secure transactions and data sharing among different interacting agents within the insurance network, we propose to employ the extreme gradient boosting (XGBoost) machine learning algorithm for the aforementioned insurance services and compare its performances with those of other state-of-the-art algorithms. The obtained results reveal that, when applied to an auto insurance dataset, the XGboost achieves high performance gains compared to other existing learning algorithms. For instance, it reaches 7% higher accuracy compared to decision tree models when detecting fraudulent claims. The obtained results reveal that, when applied to an auto insurance dataset, the XGboost achieves high performance gains compared to other existing learning algorithms. For instance, it reaches 7% higher accuracy compared to decision tree models when detecting fraudulent claims. Furthermore, we propose an online learning solution to automatically deal with real-time updates of the insurance network and we show that it outperforms another online state-of-the-art algorithm. Finally, we combine the developed machine learning modules with the hyperledger fabric composer to implement and emulate the artificial intelligence and blockchain-based framework.

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“…Okamoto et al [34] considered the limited number of attributes given to signers by a single trusted authority, and proposed a multi-authority ABS scheme. Tang et al [35] put forward an efficient authentication scheme for EHRs that implements fine-grained access control in a cloud computing environment. Liu et al [36] proposed an online/offline attribute-based signature scheme, which realizes data integrity and the privacy protection of signer identity with low local computing cost.…”

Section: A Attribute Based Signcryptionmentioning

confidence: 99%

A Blockchain-Assisted Verifiable Outsourced Attribute-Based Signcryption Scheme for EHRs Sharing in the Cloud

Yang

et al. 2020

IEEE Access

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The sharing of electronic health records (EHRs) has shown great advantages in the accurate treatment of patients and the development of medical institutions. However, it is easy to cause some security problems in the process of medical data sharing. Generally, after a patient's EHRs are generated by different medical institutions, they are outsourced to the cloud server (CS) by the authorized medical institutions for storage, which causes the patient to lose control of EHRs. Moreover, malicious medical institutions and semi-trusted cloud servers may collude to tamper with EHRs to seek benefits, which threatens the integrity of EHRs. Therefore, we propose a blockchain-assisted verifiable outsourced attribute-based signcryption scheme (BVOABSC) which realizes the secure sharing of EHRs in a multi-authority cloud storge environment. Firstly, we use the attribute-based signcryption algorithm to realize the confidentiality and unforgeability of the EHRs and protect the privacy of the signer. Secondly, it greatly reduces the computational burden of users by using verifiable outsourcing computation mechanism. Most of the designcryption calculation is performed by the cloud server, and the correctness of the generated partial designcryption ciphertext is verified by users. Furthermore, we use blockchain technology to protect outsourced EHRs from tampering by illegal users. Specifically, each operation on outsourced EHRs is stored as a transaction on the public blockchain, which ensures that EHRs cannot be modified. At the same time, the auditor can verify the integrity of the outsourced EHRs by checking the corresponding transactions. In addition, the smart contract created by the patient can solve the problems in cloud storage, such as tampering EHRs and returning incorrect results. Finally, security analysis and performance evaluation show that the proposed BVOABSC scheme satisfies stronger security and higher efficiency than similar schemes. INDEX TERMS Attribute-based signcryption, blockchain, cloud storage, electronic health records, verifiable outsourced calculation.

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An Efficient Authentication Scheme for Blockchain-Based Electronic Health Records

Cited by 121 publications

References 20 publications

The Current State of Research, Challenges, and Future Research Directions of Blockchain Technology in Patient Care: Systematic Review

The Current State of Research, Challenges, and Future Research Directions of Blockchain Technology in Patient Care: Systematic Review

A Secure AI-Driven Architecture for Automated Insurance Systems: Fraud Detection and Risk Measurement

A Blockchain-Assisted Verifiable Outsourced Attribute-Based Signcryption Scheme for EHRs Sharing in the Cloud

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