MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain
Abstract
With the development of electronic information technology, electronic medical records (EMRs) have been a common way to store the patients' data in hospitals. They are stored in different hospitals' databases, even for the same patient. Therefore, it is difficult to construct a summarized EMR for one patient from multiple hospital databases due to the security and privacy concerns. Meanwhile, current EMRs systems lack a standard data management and sharing policy, making it difficult for pharmaceutical scientists to develop precise medicines based on data obtained under different policies. To solve the above problems, we proposed a blockchain-based information management system, MedBlock, to handle patients' information. In this scheme, the distributed ledger of MedBlock allows the efficient EMRs access and EMRs retrieval. The improved consensus mechanism achieves consensus of EMRs without large energy consumption and network congestion. In addition, MedBlock also exhibits high information security combining the customized access control protocols and symmetric cryptography. MedBlock can play an important role in the sensitive medical information sharing.
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The 'medblock' study failed to provide enough privacy of the patient's identity.
“Although the study [61] ensured higher security concept, it failed to provide enough privacy of the patient's identity.”
From Proof-of-familiarity: a privacy-preserved blockchain scheme for collaborative medical decision-making (2019) · cites this paper as [61]
Cites
Attribute-based encryption for fine-grained access control of encrypted data
Goyal, V., Pandey, O., Sahai, A., & Waters, B. R. (2006) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/1180405.1180418 · Cited by 5,092 · see citing works
Decentralizing Privacy: Using Blockchain to Protect Personal Data
Zyskind, G., Nathan, O., & Pentland, A. '. (2015) · 2015 IEEE Security and Privacy Workshops · doi:10.1109/spw.2015.27 · Cited by 2,617 · see citing works
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 · see citing works
Li, M., Yu, S., Zheng, Y. R., Ren, K., & Lou, W. (2012) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2012.97 · Cited by 1,189 · see citing works
MeDShare: Trust-Less Medical Data Sharing Among Cloud Service Providers via Blockchain
Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., & Guizani, M. (2017) · IEEE Access · doi:10.1109/access.2017.2730843 · Cited by 1,148 · see citing works
Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?
Esposito, C., Santis, A. D., Tortora, G., Chang, H., & Choo, K. R. (2018) · IEEE Cloud Computing · doi:10.1109/mcc.2018.011791712 · Cited by 857 · see citing works
ID-Based Blind Signature and Ring Signature from Pairings
Zhang, F., & Kim, K. (2002) · Lecture notes in computer science · doi:10.1007/3-540-36178-2_33 · Cited by 537 · see citing works
Guo, R., Shi, H., Zhao, Q., & Zheng, D. (2018) · IEEE Access · doi:10.1109/access.2018.2801266 · Cited by 505 · see citing works
‘Big data’, Hadoop and cloud computing in genomics
O’Driscoll, A., Daugelaite, J., & Sleator, R. D. (2013) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2013.07.001 · Cited by 432 · see citing works
Perera, G. C., Holbrook, A. M., Thabane, L., Foster, G., & Willison, D. J. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.11.005 · Cited by 223 · see citing works
Fan, K., Ren, Y., Wang, Y., Li, H., & Yang, Y. (2018) · IET Communications · doi:10.1049/iet-com.2017.0619 · Cited by 177 · see citing works
Self-citationUnpatients—why patients should own their medical data
Kish, L. J., & Topol, E. J. (2015) · Nature Biotechnology · doi:10.1038/nbt.3340 · Cited by 166 · see citing works
Verifiable searchable encryption with aggregate keys for data sharing system
Liu, Z., Li, T., Li, P., Jia, C., & Li, J. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.024 · Cited by 137 · see citing works
Cloud-Based Commissioning of Constrained Devices using Permissioned Blockchains
Hardjono, T., & Smith, N. (2016) · doi:10.1145/2899007.2899012 · Cited by 136 · see citing works
BSS: block-based sharing scheme for secure data storage services in mobile cloud environment
Khan, A. N., Kiah, M. L. M., Ali, M., Madani, S. A., Khan, A. U. R., & Shamshirband, S. (2014) · The Journal of Supercomputing · doi:10.1007/s11227-014-1269-8 · Cited by 72 · see citing works
Decentralised Runtime Monitoring for Access Control Systems in Cloud Federations
Ferdous, M. S., Margheri, A., Paci, F., Yang, M., & Vladimiro Sassone, C. (2017) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2017.178 · Cited by 53 · see citing works
Efficient and secure attribute-based signature for monotone predicates
Gu, K., Jia, W., Wang, G., et al. (2016) · Acta Informatica · doi:10.1007/s00236-016-0270-5 · Cited by 51 · see citing works
Wang, Y., Li, P., Tian, Y., Ren, J., & Li, J. (2016) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2614991 · Cited by 51 · see citing works
Secure Multiparty Data Sharing in the Cloud Using Hardware-Based TPM Devices
Thilakanathan, D., Chen, S., Nepal, ., et al. (2014) · IEEE ... International Conference on Cloud Computing · doi:10.1109/cloud.2014.39 · Cited by 20 · see citing works
Flexible CP-ABE Based Access Control on Encrypted Data for Mobile Users in Hybrid Cloud System
Li, W., Li, X.-L., Wen, Q., et al. (2017) · Journal of Computer Science and Technology · doi:10.1007/s11390-017-1776-1 · Cited by 19 · see citing works
Keyword Search With Access Control Over Encrypted Cloud Data
Shen, Z., Shu, J., & Xue, W. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2634018 · Cited by 14 · see citing works
Mishra, B., & Jena, D. (2016) · IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) · doi:10.1109/ccem.2016.016 · Cited by 11 · see citing works
Efficient ways of prime number generation for ring signatures
Salazar, J. L., Tornos, J. L., & Piles, J. J. (2015) · IET Information Security · doi:10.1049/iet-ifs.2014.0547 · Cited by 4 · see citing works
[P3–255]: ELECTRONIC MEDICAL RECORD (EMR) PREDICTORS OF UNDIAGNOSED DEMENTIA
Lee, S. J., Larson, E. B. B., Dublin, S., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.06.1469 · Cited by 3 · see citing works
[P3–253]: REAL WORLD ADMINISTRATION OF THE ALZHEIMER's DISEASE ASSESSMENT SCALE‐COGNITIVE
Black, C. M., Ritchie, C., Wood, R. P., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.06.1467 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Blockchain technology in healthcare: a systematic review
Agbo, C. C., Mahmoud, Q. H., & Eklund, J. M. (2019) · Healthcare · doi:10.3390/healthcare7020056 · Cited by 1,131 · see citing works
Blockchain for industry 4.0: a comprehensive review
Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2988579 · Cited by 766 · see citing works
Blockchain in healthcare and health sciences—A scoping review
Hasselgren, A., Kralevska, K., Gligoroski, D., Pedersen, S. A., & Faxvaag, A. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.104040 · Cited by 676 · see citing works
“Interoperability 18 [36] Electronic health records Sharing healthcare data for clinical and research purposes.”
BackgroundBlockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research
Khezr, S., Moniruzzaman, M., Yassine, A., & Benlamri, R. (2019) · Applied Sciences · doi:10.3390/app9091736 · Cited by 575 · see citing works
MedChain: efficient healthcare data sharing via Blockchain
Shen, B., Guo, J., & Yang, Y. (2019) · Applied Sciences · doi:10.3390/app9061207 · Cited by 412 · see citing works
Self-citationThe benefits and threats of blockchain technology in healthcare: A scoping review
Abu-elezz, I., Hassan, A., Nazeemudeen, A., Househ, M., & Abd-alrazaq, A. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104246 · Cited by 375 · see citing works
A survey on the adoption of blockchain in IoT: challenges and solutions
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2021) · Blockchain: Research and Applications · doi:10.1016/j.bcra.2021.100006 · Cited by 365 · see citing works
A review of secure and privacy-preserving medical data sharing
Jin, H., Luo, Y., Li, P., & Mathew, J. (2019) · IEEE Access · doi:10.1109/access.2019.2916503 · Cited by 293 · see citing works
Lightweight blockchain for healthcare
Ismail, L., Materwala, H., & Zeadally, S. (2019) · IEEE Access · doi:10.1109/access.2019.2947613 · Cited by 260 · see citing works
Medchain: a design of blockchain-based system for medical records access and permissions management
Daraghmi, E.-Y., Daraghmi, Y.-A., & Yuan, S.-M. (2019) · IEEE Access · doi:10.1109/access.2019.2952942 · Cited by 196 · see citing works
Blockchain in Healthcare: A Patient-Centered Model
Huang, X. (2019) · Biomedical Journal of Scientific & Technical Research · doi:10.26717/bjstr.2019.20.003448 · Cited by 167 · see citing works
Blockchain-Enabled Information Sharing Within a Supply Chain: A Systematic Literature Review
Wan, P. K., Huang, L., & Holtskog, H. (2020) · IEEE Access · doi:10.1109/access.2020.2980142 · Cited by 160 · see citing works
Blockchain applications in the biomedical domain: A scoping review
Drosatos, G., & Kaldoudi, E. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.01.010 · Cited by 145 · see citing works
“[34] 2018 Journal Health records Implementation”
BackgroundYang, J., Onik, M. M. H., Lee, N.-Y., Ahmed, M., & Kim, C.-S. (2019) · Applied Sciences · doi:10.3390/app9071370 · Cited by 91 · see citing works
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange
Song, R., Xiao, B., Song, Y., Guo, S., & Yang, Y. (2023) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2023.3293279 · Cited by 59 · see citing works
Self-citationHyperledger fabric platform for healthcare trust relations—Proof-of-Concept
Nedaković, A., Hasselgren, A., Kralevska, K., & Gligoroski, D. (2023) · Blockchain: Research and Applications · doi:10.1016/j.bcra.2023.100156 · Cited by 22 · see citing works
- Authors
- Fan, K., Wang, S., Ren, Y., Li, H., & Yang, Y.
- Affiliations
- Xidian University (CN)
- Corresponding author
- Fan, Kai
- Venue
- Journal of Medical Systems
- Published
- 2018-06-21
- Volume
- 42
- Issue
- 8
- Pages
- 136-136
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2809143401
- Cited by
- 631
- References
- 25
- Citations by year
- 2026: 27 · 2025: 74 · 2024: 93 · 2023: 114 · 2022: 108 · 2021: 94 · 2020: 74 · 2019: 45 · 2018: 2
- FWCI
- 86.44
- 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 (2017YFB0802300)
- National Natural Science Foundation of China (61772403, U1401251)
- Natural Science Basic Research Plan in Shaanxi Province of China (2017JM6004)
- National 111 Program of China (B16037, B08038)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- electronic health records, health data sharing, blockchain, distributed ledger technology, consensus algorithms, access control, symmetric encryption, data privacy, personalized medicine
- MeSH terms
- Confidentiality, Humans, Computer Security, Privacy, Information Dissemination, Electronic Health Records
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