Abstract
In the health industry, the transparency of product data registration in the supply chain is a critical aspect in determining the source of genetic data. Various upcoming technologies, such as blockchain, can help with this challenge. Blockchain is a shared and immutable database that makes recording transactions and tracking assets in a commercial network easier. Currently, genetic information is regarded as a vital asset in the health sector, as more precise diagnostic samples in medical genomics enable improved treatments for patients suffering from a variety of disorders. Since actions connected to the storage or management of data might have several areas of vulnerability, this paper describes the development of a technological model employing Blockchain as technology to assure the protection of genetic information in the private health sector. Furthermore, unauthorized activities such as registration and access control in the exchange of genetic information have been carried out, primarily through entities that manage the eligibility of users with genomics information and grant access to specific data sets, demonstrating a lack of harmonization in access policies between the owners of genetic information and the health entities that manage it. A proof-of-concept was carried out to evaluate the model’s capabilities and ensure that a larger-scale deployment could be carried out. Experts agreed with our proposal, and consumers would be prepared to employ proof of concept to assure traceability and security of their data, according to the evaluation.
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Notes
- 1.
Chief Resolution (In Spanish) N 490-2019-J - https://bit.ly/2RQ0k5X.
- 2.
Emerging Tech 2015: Digital Genome - https://bit.ly/3ePkBDm.
- 3.
Smart Contracts and Chaincode - https://bit.ly/3kvgwG2.
References
Andola, N., Raghav, Gogoi, M., Venkatesan, S., Verma, S.: Vulnerabilities on hyperledger fabric. Pervasive Mob. Comput. 59, 101050 (2019)
Appelhanz, S., Osburg, V.S., Toporowski, W., Schumann, M.: Traceability system for capturing, processing and providing consumer-relevant information about wood products: system solution and its economic feasibility. J. Clean. Prod. 110, 132–148 (2016)
Arroyo-Mariños, J.C., Mejia-Valle, K.M., Ugarte, W.: Technological model for the protection of genetic information using blockchain technology in the private health sector. In: ICT4AWE (2021)
Benil, T., Jasper, J.: Cloud based security on outsourcing using blockchain in e-health systems. Comput. Netw. 178, 107344 (2020)
Bernstein, D.: Containers and cloud: From LXC to docker to kubernetes. IEEE Cloud Comput. 1(3), 81–84 (2014)
Cheikhrouhou, O., Koubâa, A.: Blockloc: secure localization in the internet of things using blockchain. In: IWCMC, pp. 629–634. IEEE (2019)
Chen, Y., Ding, S., Xu, Z., Zheng, H., Yang, S.: Blockchain-based medical records secure storage and medical service framework. J. Medical Syst. 43(1), 1–9 (2019)
Cheng, X., Chen, F., Xie, D., Sun, H., Huang, C.: Design of a secure medical data sharing scheme based on blockchain. J. Medical Syst. 44(2), 52 (2020)
Choi, T.M.: Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains. Transp. Res. Part E: Log. Transp. Review 128, 17–29 (2019)
FAO: E-agriculture in action: Blockchain for agriculture opportunities and challenges. Food and Agriculture Organization of the United Nations and the International Telecommunication Union (2019)
Figorilli, S., et al.: A blockchain implementation prototype for the electronic open source traceability of wood along the whole supply chain. Sensors 18(9), 3133 (2018)
Francisco, K., Swanson, D.: The supply chain has no clothes: technology adoption of blockchain for supply chain transparency. Logistics 2(1), 2 (2018)
Fu, J., Wang, N., Cai, Y.: Privacy-preserving in healthcare blockchain systems based on lightweight message sharing. Sensors 20(7), 1898 (2020)
Goyat, R., Kumar, G., Alazab, M., Saha, R., Thomas, R., Rai, M.K.: A secure localization scheme based on trust assessment for WSNs using blockchain technology. Future Gener. Comput. Syst. 125, 221–231 (2021)
Griggs, K.N., Ossipova, O., Kohlios, C.P., Baccarini, A.N., Howson, E.A., Hayajneh, T.: Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. J. Medical Syst. 42(7), 1–7 (2018)
Gupta, M.: Blockchain For Dummies. IBM Limited Ed, 3rd edn. (2018)
Khezr, S., Moniruzzaman, M., Yassine, A., Benlamri, R.: Blockchain technology in healthcare: a comprehensive review and directions for future research. Appl. Sci. 9(9), 1736 (2019)
Kulemin, N.: The zenome project : whitepaper blockchain-based genomic ecosystem (2017)
Kuo, T., Kim, J., Gabriel, R.A.: Privacy-preserving model learning on a blockchain network-of-networks. J. Am. Med. Inform. Assoc. 27(3), 343–354 (2020)
Lin, Q., Wang, H., Pei, X., Wang, J.: Food safety traceability system based on blockchain and EPCIS. IEEE Access 7, 20698–20707 (2019)
Litke, A., Anagnostopoulos, D., Varvarigou, T.: Blockchains for supply chain management: architectural elements and challenges towards a global scale deployment. Logistics 3(1), 5 (2019)
McGhin, T., Choo, K.R., Liu, C.Z., He, D.: Blockchain in healthcare applications: research challenges and opportunities. J. Netw. Comput. Appl. 135, 62–75 (2019)
Murugan, A., Chechare, T., Muruganantham, B., Kumar, S.: Healthcare information exchange using blockchain technology. Int. J. Electr. Comput. Eng. (IJECE), 10, 421 (2020)
Ozercan, H.I., Ileri, A.M., Ayday, E., Alkan, C.: Realizing the potential of blockchain technologies in genomics. Genome Res. 28, 9 (2018)
Shabani, M.: Blockchain-based platforms for genomic data sharing: a de-centralized approach in response to the governance problems? J. Am. Med. Inform. Assoc. 26(1), 76–80 (2019)
Taherizadeh, S., Grobelnik, M.: Key influencing factors of the kubernetes auto-scaler for computing-intensive microservice-native cloud-based applications. Adv. Eng. Softw. 140, 102734 (2020)
Tripathi, G., Ahad, M.A., Paiva, S.: S2HS- a blockchain based approach for smart healthcare system. Healthcare 8(1), 100391 (2020)
Ujibashi, Y., Kawaba, M., Harada, L.: Proposal of a database type and aggregation function for accelerating medical genomics study on RDBMS. In: EDBT. OpenProceedings.org (2016)
Yang, J.: Cloud computing for storing and analyzing petabytes of genomic data. J. Ind. Inf. Integr. 15, 50–57 (2019)
Zhang, P., White, J., Schmidt, D.C., Lenz, G., Rosenbloom, S.T.: FHIRChain: applying blockchain to securely and scalably share clinical data. Comput. Struct. Biotech. J. 16, 267–278 (2018)
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Arroyo-Mariños, J., Mejia-Valle, K., Ugarte, W. (2023). Technological Model Based on Blockchain Technology for Genetic Information Protection in the Health Sector. In: Maciaszek, L.A., Mulvenna, M.D., Ziefle, M. (eds) Information and Communication Technologies for Ageing Well and e-Health. ICT4AWE ICT4AWE 2021 2022. Communications in Computer and Information Science, vol 1856. Springer, Cham. https://doi.org/10.1007/978-3-031-37496-8_12
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