TY - GEN
T1 - Technological Model Based on Blockchain Technology for Genetic Information Protection in the Health Sector
AU - Arroyo-Mariños, Julio
AU - Mejia-Valle, Karla
AU - Ugarte, Willy
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Blockchain
KW - Genetic information
KW - Healthcare
KW - Patient
UR - https://www.scopus.com/pages/publications/85169029968
U2 - 10.1007/978-3-031-37496-8_12
DO - 10.1007/978-3-031-37496-8_12
M3 - Contribución a la conferencia
AN - SCOPUS:85169029968
SN - 9783031374951
T3 - Communications in Computer and Information Science
SP - 218
EP - 233
BT - Information and Communication Technologies for Ageing Well and e-Health - 7th International Conference, ICT4AWE 2021, and 8th International Conference, ICT4AWE 2022, Revised Selected Papers
A2 - Maciaszek, Leszek A.
A2 - Maciaszek, Leszek A.
A2 - Mulvenna, Maurice D.
A2 - Ziefle, Martina
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th and 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2021 and ICT4AWE 2022
Y2 - 24 April 2021 through 26 April 2021
ER -