The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
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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In the citing paper
“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
In the citing paper
“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
In the citing paper
“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
Citations
Cites
MedRec: Using Blockchain for Medical Data Access and Permission Management
Azaria, A., Ekblaw, A., Vieira, T., & Lippman, A. (2016) · 2016 2nd International Conference on Open and Big Data (OBD) · doi:10.1109/obd.2016.11 · Cited by 2,526
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0574-6 · Cited by 1,240
Secure and Trustable Electronic Medical Records Sharing using Blockchain
Dubovitskaya, A., Xu, Z., Ryu, S., Schumacher, M., & Wang, F. (2017) · PubMed Central · doi:10.48550/arxiv.1709.06528 · Cited by 465
MediBchain: A Blockchain Based Privacy Preserving Platform for Healthcare Data
Omar, A. A., Rahman, M. S., Basu, A., & Kiyomoto, S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-72395-2_49 · Cited by 340
The epidemiology of malpractice claims in primary care: a systematic review
Wallace, E., Lowry, J., Smith, S. M., & Fahey, T. P. (2013) · BMJ Open · doi:10.1136/bmjopen-2013-002929 · Cited by 143
Zhou, C., Feng, J., Hu, J. H., & Ye, X. (2015) · Journal of Medical Systems · doi:10.1007/s10916-015-0412-2 · Cited by 39
Sibling intractable function families and their applications
Yuliang Zheng, A., T, T. H. M. I., & Pieprzyk, J. (1993) · Lecture notes in computer science · doi:10.1007/3-540-57332-1_10 · Cited by 28
Research works printed but not linked: 1
- Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., and Guizani, M., MeDShare: trustless medical data sharing among cloud service providers via blockchain. IEEE Access PP(99):1–1, 2017.
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Tandon, A., Dhir, A., Islam, A. K. M. N., & Mäntymäki, M. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103290 · Cited by 439
“Prior studies have promulgated the use of blockchain as a proficient method of managing medical data (Quaini et al., 2018; Hussein et al., 2018; Silva et al., 2019; Shen et al., 2019; Tian et al., 2019) and electronic personal health information or records (PHRs) (Roehrs et al.”
InfluentialA Systematic Review of Blockchain in Healthcare: Frameworks, Prototypes, and Implementations
Chukwu, E., & Garg, L. (2020) · IEEE Access · doi:10.1109/access.2020.2969881 · Cited by 299
Differential Privacy-Based Blockchain for Industrial Internet-of-Things
Gai, K., Wu, Y., Zhu, L., Zhang, Z., & Qiu, M. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2948094 · Cited by 281
Blockchain technology in healthcare: A systematic review
Saeed, H., Malik, H., Bashir, U., Ahmad, A., Riaz, S., Ilyas, M., Bukhari, W. A., & Khan, M. I. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266462 · Cited by 285
Hussien, H. M., Yasin, S. M., Udzir, S. N. I., Zaidan, A. A., & Zaidan, B. B. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1445-8 · Cited by 264
Metadata
- 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 › Computer Networks and Communications › 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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