The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A Novel Medical Blockchain Model for Drug Supply Chain Integrity Management in a Smart Hospital
Open accessAbstract
At present, in pharmacology one of the most serious problems is counterfeit drugs. The Health Research Funding organization reported that in developing countries, nearly 10–30% of the drugs are fake. Counterfeiting is not the main issue itself, but, rather, the fact that, as compared to traditional drugs, these counterfeit drugs produce different side effects to human health. According to WHO, around 30% of the total medicine sold in Africa, Asia, and Latin America is counterfeit. This is the major worldwide problem, and the situation is worse in developing countries, where one out of every 10 medicines are either fake or do not follow drug regulations. The rise of Internet pharmacies has made it more difficult to standardize drug safety. It is difficult to detect counterfeits because these drugs pass through different complex distributed networks, thus forming opportunities for counterfeits to enter the authentic supply chain. The safety of the pharmaceutical supply chain has become a major concern for public health, which is a collective process. In this paper, we propose a novel drug supply chain management using Hyperledger Fabric based on blockchain technology to handle secure drug supply chain records. The proposed system solves this problem by conducting drug record transactions on a blockchain to create a smart healthcare ecosystem with a drug supply chain. A smart contract is launched to give time-limited access to electronic drug records and also patient electronic health records. We also carried out a number of experiments in order to demonstrate the usability and efficiency of the designed platform. Finally, we used Hyperledger Caliper as a benchmarking tool to conduct the performance of the designed system in terms of transactions per second, transaction latency, and resource utilization.
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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
Blockchain technology: principles and applications
Pilkington, M. (2016) · Research Handbook on Digital Transformations · doi:10.4337/9781784717766.00019 · Cited by 1,627
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
Blockchain technology in healthcare: The revolution starts here
Mettler, M. (2016) · 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2016.7749510 · Cited by 1,237
Towards blockchain-based intelligent transportation systems
Yuan, Y., & Wang, F.-Y. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795984 · Cited by 671
Blockchains everywhere - a use-case of blockchains in the pharma supply-chain
Bocek, T., Rodrigues, B. B., Strasser, T., & Stiller, B. (2017) · 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) · doi:10.23919/inm.2017.7987376 · Cited by 585 · cited 1×
“Blockchain technology can also be used to monitor cost, labor, as well as waste and emissions at every step of the supply chain [29].”
BackgroundOjo, A., & Adebayo, S. (2017) · Public Administration and Information Technology · doi:10.1007/978-3-319-63743-3_11 · Cited by 78
Cited by
Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102067 · Cited by 1,545
A Blockchain-Based Smart Contract System for Healthcare Management
Khatoon, A. (2020) · Electronics · doi:10.3390/electronics9010094 · Cited by 508
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
A novel blockchain-based electronic health record automation system for healthcare
Chelladurai, U., & Pandian, S. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-021-03163-3 · Cited by 210
A Data Verification System for CCTV Surveillance Cameras Using Blockchain Technology in Smart Cities
Khan, P., Byun, Y.-C., & Park, N. (2020) · Electronics · doi:10.3390/electronics9030484 · Cited by 144
Metadata
- Authors
- Jamil, F., Hang, L., Kim, K., & Kim, D.
- Venue
- Electronics
- Publisher
- MDPI AG
- Published
- 2019-05-07
- Volume
- 8
- Issue
- 5
- Pages
- 505
- ISSN
- 2079-9292 (ISSN-L)
- OpenAlex
- W2946228717
- Cited by
- 454
- References
- 7
- FWCI
- 62.79
- Type
- journal article
- Language
- en
- Open access
- gold
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.