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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

A Survey of Blockchain-Based Strategies for Healthcare

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Autor(es):
De Aguiar, Erikson Julio [1] ; Faical, Bruno S. [1] ; Krishnamachari, Bhaskar [2] ; Ueyama, Jo [1]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, BR-13566590 Sao Carlos, SP - Brazil
[2] Univ Southern Calif, Los Angeles, CA 90007 - USA
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: ACM COMPUTING SURVEYS; v. 53, n. 2 APR 2020.
Citações Web of Science: 2
Resumo

Blockchain technology has been gaining visibility owing to its ability to enhance the security, reliability, and robustness of distributed systems. Several areas have benefited from research based on this technology, such as finance, remote sensing, data analysis, and healthcare. Data immutability, privacy, transparency, decentralization, and distributed ledgers are the main features that make blockchain an attractive technology. However, healthcare records that contain confidential patient data make this system very complicated because there is a risk of a privacy breach. This study aims to address research into the applications of the blockchain healthcare area. It sets out by discussing the management of medical information, as well as the sharing of medical records, image sharing, and log management. We also discuss papers that intersect with other areas, such as the Internet of Things, the management of information, tracking of drugs along their supply chain, and aspects of security and privacy. As we are aware that there are other surveys of blockchain in healthcare, we analyze and compare both the positive and negative aspects of their papers. Finally, we seek to examine the concepts of blockchain in the medical area, by assessing their benefits and drawbacks and thus giving guidance to other researchers in the area. Additionally, we summarize the methods used in healthcare per application area and show their pros and cons. (AU)

Processo FAPESP: 18/17335-9 - Explorando DLTs e a inteligência computacional em IoT
Beneficiário:Jó Ueyama
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 18/18187-3 - Um protocolo de confiança com múltiplos níveis de acesso: estudo de caso com blockchain em aplicações médicas
Beneficiário:Erikson Júlio de Aguiar
Modalidade de apoio: Bolsas no Brasil - Mestrado