Medical data management on blockchain with privacy
Abstract
Medical data are important in diagnosis, treatment, recovery, and medical accident investigation. The integrity and availability of medical data are the basic guarantee for the smooth operation of these activities. The privacy of medical data is a natural demand from the sensitivity of medical data. At present, there are mainly two ways to protect the privacy of medical data. One way is to store medical data in a local database and set up an access control strategy of the database. The other way is to encrypt medical data with the patient's key and to share the key when needed. The problem with the first method is that the data in the local database may be modified or deleted. The problem with the second method is that the key cannot be shared when the patient dies during the diagnosis and treatment. These two problems will damage the availability of data. This paper proposes to establish a shared key that could be reconstructed by the legitimate parties before the process of diagnosis and treatment begins. The data in the diagnosis and treatment process is encrypted and stored in a blockchain using the shared key. The proposal meets the integrity, availability and privacy requirements of medical data. It uses the sibling intractable function families (SIFF) to establish a shared key, and uses the Hyperledger Fabric to store encrypted data. The simulation shows that the system has good efficiency. Additionally, it is the first time to introduce SIFF to a blockchain application.
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Significant attention has been paid in the reviewed literature to maintaining data integrity.
“However, significant attention has been paid to the need to maintain data integrity (Hyla & Pejaś, 2019;Tian et al., 2019;Shen et al., 2019).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Tian et al., 2019
Medical and personal health records are generated and managed at multiple levels by patients via smart devices, healthcare service providers, and allied industries.
“Medical and personal health records are now generated and managed at multiple levels through patients via smart devices (Casado-Vara & Corchado, 2019), healthcare service providers, and allied industries, such as pharmaceutics, insurance, and research (Cios et al., 2019;Tian et al., 2019).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Tian et al., 2019
These concerns relate to technical limitations including node security, cryptographic security level, and data privacy during computations.
“These concerns are mainly related to the technical limitations of blockchain technology, such as the security of individual nodes (Griggs et al., 2018), the level of security enabled by the cryptographic elements incorporated in framework (Tian et al., 2019), and the maintenance of data privacy while requesters complete their computations (Yue et al., 2016).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Tian et al., 2019
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- Authors
- Tian, H., He, J., & Ding, Y.
- Affiliations
- Sun Yat-sen University (CN)
- Guilin University of Electronic Technology (CN)
- Corresponding author
- Tian, Haibo
- Venue
- Journal of Medical Systems
- Published
- 2019-01-03
- Volume
- 43
- Issue
- 2
- Pages
- 26-26
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2908026007
- Cited by
- 107
- References
- 7
- Citations by year
- 2026: 9 · 2025: 7 · 2024: 8 · 2023: 19 · 2022: 18 · 2021: 25 · 2020: 15 · 2019: 6
- FWCI
- 19.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Key R&D Program of China (2017YFB0802500)
- Natural Science Foundation of Guangdong Province (2015A030313133)
- Guangxi Key Laboratory of Cryptography and Information Security (No.GCIS201711)
- Fundamental Research Funds for the Central Universities (No.17lgjc45)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- medical data privacy, blockchain, data integrity, data availability, Hyperledger Fabric, encrypted data storage, patient data access control, key management
- MeSH terms
- Confidentiality, Humans, Computer Security, Electronic Health Records, Health Information Exchange
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