Concessão de Permissão a Dados de Saúde Baseada em Blockchain
Resumo
Com os avanços tecnológicos tem ocorrido o surgimento de dispositivos vestíveis que permitem às pessoas o monitoramento do seu próprio estado de saúde. Tem havido ainda um crescimento no interesse das pessoas pelo controle da própria saúde, incluindo o rastreamento e a análise dos dados pessoais de saúde. Desse modo, um paciente pode não só acompanhar esses dados, mas efetivamente decidir quem pode, ou não, ter acesso a eles. Um dos pilares para que isso seja possível é a privacidade. Esse trabalho tem como foco a privacidade dos dados, no sentido de proporcionar um maior grau de confiança aos sistemas de saúde digital. A proposta deste trabalho é desenvolver uma solucção arquitetural baseada em blockchain para concessão de permissão de acesso aos dados de saúde do paciente coletados por um Sistema de Monitoramento Remoto de Pacientes (SMRP), garantindo a privacidade desses dados.
Palavras-chave:
Monitoramento, sistemas de saúde, blockchain, Sistema de Monitoramento Remoto de Pacientes (SMRP), privacidade
Referências
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Androulaki, E., Barger, A., Bortnikov, V., Cachin, C., Christidis, K., De Caro, A., Enyeart, D., Ferris, C., La- ventman, G., Manevich, Y., et al. (2018). Hyperledger fabric: a distributed operating system for permissioned blockchains. In 13th EuroSys Conf., page 30. ACM.
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Daglish, D. and Archer, N. (2009). Electronic personal health record systems: a brief review of privacy, security, and architectural issues. In Privacy, Security, Trust and the Management of e-Business, pages 110–120. IEEE.
Doering, L. V., Hickey, K., Pickham, D., Chen, B., and Drew, B. J. (2012). Remote noninvasive allograft rejection monitoring for heart transplant recipients: study protocol for the novel evaluation with home electrocardiogram and remote transmission (new heart) study. BMC cardiovascular disorders, 12(1):14.
Esposito, C., De Santis, A., Tortora, G., Chang, H., and Choo, K. K. R. (2018). Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy? IEEE Cloud Computing, 5(1):31–37.
Fantoni, A. (2016). Dispositivos wearable para o campo da saúde: reflexões acerca do monitoramento de dados do corpo humano. Tema´tica, 12(01).
Fernández-Alemán, J. L., Señor, I. C., Lozoya, P. Á . O., and Toval, A. (2013). Security and privacy in electronic health records: A systematic literature review. J. Biomedical informatics, 46(3):541–562.
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Greve, F., Sampaio, L., Abijaude, J., Coutinho, A., Valcy, ´I., and Queiroz, S. (2018). Blockchain e a revolução do consenso sob demanda. In: Minicursos do XXXVI SBRC.
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Karantonis, D. M., Narayanan, M. R., Mathie, M., Lovell, N. H., and Celler, B. G. (2006). Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE transactions on inf. tech. in biomedicine, 10(1):156–167.
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Lovis, C., Spahni, S., Cassoni, N., and Geissbuhler, A. (2007). Comprehensive management of the access to the electronic patient record: Towards trans-institutional networks. Int. J.Medical Informatics, 76(5-6):466–470.
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. In: www.bitcoin.org/bitcoin.pdf. Acesso em 05/02/2019.
Reis, F. F., Costa-Pereira, A., and Correia, M. E. (2008). Access and privacy rights using web security standards to increase patient empowerment. Health tech. inf., 137:275–285.
Rettberg, J. W. (2014). Seeing ourselves through technology: How we use selfies, blogs and wearable devices to see and shape ourselves. Palgrave Macmillan, Springer.
Ribeiro, H., Battisti, D., Germano, E., and Carvalho, S. (2016). Notificações de monitoramento remoto de pacientes usando redes sociais. CBIS,p. 859-868.
Ribeiro, H. A., Germano, E., Carvalho, S. T., and Albuquerque, E. S. (2017). Integrating social networks and remote patient monitoring systems to disseminate notifications. In MEDINFO 2017, volume 245, page 198. IOS Press.
Røstad, L. (2008). An initial model and a discussion of access control in patient controlled health records. In Availability, Reliability and Security, pages 935–942. IEEE.
Testa, M. G., de Azevedo Braganc¸a, C. E. B., and Luciano, E. M. (2011). Privacidade de informações de pacientes de instituições de saúde: a percepção de profissionais da a´rea de saúde. Revista Reuna, 16(2):89–102.
van der Linden, H., Kalra, D., Hasman, A., and Talmon, J. (2009). Inter-organizational future proof ehr systems: a review of the security and privacy related issues. Int. J. medical informatics, 78(3):141–160.
Wood, G. (2014). Ethereum: A secure decentralised generalised transaction ledger. Ethereum project yellow paper, 151:1–32.
Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., and Guizani, M. (2017). MeDShare: Trust-Less Medical Data Sharing among Cloud Service Providers via Blockchain. IEEE Access, 5:14757–14767.
Yaga, D., Mell, P., Roby, N., and Scarfone, K. (2018). Blockchain technology overview. National Institute of Standards and Technology Internal Report – NISTIR, 8202.
Zhu, Y. (2011). Automatic detection of anomalies in blood glucose using a machine learning approach. Journal of Communications and Networks, 13(2):125–131.
Zyskind, G., Nathan, O., and Pentland, A. (2015). Enigma: Decentralized computation platform with guaranteed privacy. arXiv preprint arXiv:1506.03471.
Abowd, G. D., Dey, A. K., Brown, P. J., Davies, N., Smith, M., and Steggles, P. (1999). Towards a better unders- tanding of context and context-awareness. In 1st Int. Symp. on Handheld and Ubiq. Comp., pages 304–307, London, UK, UK. Springer-Verlag.
Allen, M. Como o blockchain pode afetar em breve a vida cotidiana. https://bit.ly/2r4a6XN . Acessado: 25/11/2018.
Androulaki, E., Barger, A., Bortnikov, V., Cachin, C., Christidis, K., De Caro, A., Enyeart, D., Ferris, C., La- ventman, G., Manevich, Y., et al. (2018). Hyperledger fabric: a distributed operating system for permissioned blockchains. In 13th EuroSys Conf., page 30. ACM.
Ayubi, S. U. and Parmanto, B. (2012). Persona: Persuasive social network for physical activity. In 2012 Int. Conf.IEEE Engineering in Medicine and Biology Society, pages 2153–2157.
Azaria, A., Ekblaw, A., Vieira, T., and Lippman, A. (2016). MedRec: Using blockchain for medical data access and permission management. In 2nd OBD, pages 25–30. IEEE.
Back, A. et al. (2002). Hashcash-a denial of service counter-measure. ftp://sunsite.icm.edu.pl/site/ replay.old/programs/hashcash/hashcash.pdf.
Battisti, D. and Carvalho, S. (2016). Aplicação do padra˜o ISO/IEEE 11073 no contexto da assisteˆncia domiciliar a` saúde. pages 79–90. In: Anais da IV Escola Regional de Informa´tica (ERIGO), 2016.
Daglish, D. and Archer, N. (2009). Electronic personal health record systems: a brief review of privacy, security, and architectural issues. In Privacy, Security, Trust and the Management of e-Business, pages 110–120. IEEE.
Doering, L. V., Hickey, K., Pickham, D., Chen, B., and Drew, B. J. (2012). Remote noninvasive allograft rejection monitoring for heart transplant recipients: study protocol for the novel evaluation with home electrocardiogram and remote transmission (new heart) study. BMC cardiovascular disorders, 12(1):14.
Esposito, C., De Santis, A., Tortora, G., Chang, H., and Choo, K. K. R. (2018). Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy? IEEE Cloud Computing, 5(1):31–37.
Fantoni, A. (2016). Dispositivos wearable para o campo da saúde: reflexões acerca do monitoramento de dados do corpo humano. Tema´tica, 12(01).
Fernández-Alemán, J. L., Señor, I. C., Lozoya, P. Á . O., and Toval, A. (2013). Security and privacy in electronic health records: A systematic literature review. J. Biomedical informatics, 46(3):541–562.
Germano, E., Battisti, D., Ribeiro, H., and Carvalho, S. (2016). Plano de cuidados ub´ıquo para acompanhamento domiciliar de pacientes. CBIS, p. 849-858.
Greve, F., Sampaio, L., Abijaude, J., Coutinho, A., Valcy, ´I., and Queiroz, S. (2018). Blockchain e a revolução do consenso sob demanda. In: Minicursos do XXXVI SBRC.
Hoy, M. B. (2017). An Introduction to the Blockchain and Its Implications for Libraries and Medicine. Medical Reference Services Quarterly, 36(3):273–279.
Karantonis, D. M., Narayanan, M. R., Mathie, M., Lovell, N. H., and Celler, B. G. (2006). Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE transactions on inf. tech. in biomedicine, 10(1):156–167.
Khorakhun, C. and Bhatti, S. N. (2015). mhealth through quantified-self: a user study. In 2015 17th Int. Conf. on E-health Networking, Application & Services, pages 329–335. IEEE.
Lovis, C., Spahni, S., Cassoni, N., and Geissbuhler, A. (2007). Comprehensive management of the access to the electronic patient record: Towards trans-institutional networks. Int. J.Medical Informatics, 76(5-6):466–470.
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. In: www.bitcoin.org/bitcoin.pdf. Acesso em 05/02/2019.
Reis, F. F., Costa-Pereira, A., and Correia, M. E. (2008). Access and privacy rights using web security standards to increase patient empowerment. Health tech. inf., 137:275–285.
Rettberg, J. W. (2014). Seeing ourselves through technology: How we use selfies, blogs and wearable devices to see and shape ourselves. Palgrave Macmillan, Springer.
Ribeiro, H., Battisti, D., Germano, E., and Carvalho, S. (2016). Notificações de monitoramento remoto de pacientes usando redes sociais. CBIS,p. 859-868.
Ribeiro, H. A., Germano, E., Carvalho, S. T., and Albuquerque, E. S. (2017). Integrating social networks and remote patient monitoring systems to disseminate notifications. In MEDINFO 2017, volume 245, page 198. IOS Press.
Røstad, L. (2008). An initial model and a discussion of access control in patient controlled health records. In Availability, Reliability and Security, pages 935–942. IEEE.
Testa, M. G., de Azevedo Braganc¸a, C. E. B., and Luciano, E. M. (2011). Privacidade de informações de pacientes de instituições de saúde: a percepção de profissionais da a´rea de saúde. Revista Reuna, 16(2):89–102.
van der Linden, H., Kalra, D., Hasman, A., and Talmon, J. (2009). Inter-organizational future proof ehr systems: a review of the security and privacy related issues. Int. J. medical informatics, 78(3):141–160.
Wood, G. (2014). Ethereum: A secure decentralised generalised transaction ledger. Ethereum project yellow paper, 151:1–32.
Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., and Guizani, M. (2017). MeDShare: Trust-Less Medical Data Sharing among Cloud Service Providers via Blockchain. IEEE Access, 5:14757–14767.
Yaga, D., Mell, P., Roby, N., and Scarfone, K. (2018). Blockchain technology overview. National Institute of Standards and Technology Internal Report – NISTIR, 8202.
Zhu, Y. (2011). Automatic detection of anomalies in blood glucose using a machine learning approach. Journal of Communications and Networks, 13(2):125–131.
Zyskind, G., Nathan, O., and Pentland, A. (2015). Enigma: Decentralized computation platform with guaranteed privacy. arXiv preprint arXiv:1506.03471.
Publicado
22/11/2019
Como Citar
JUNQUEIRA, Natália R.; DA SILVA, Gabriel A.; DE CARVALHO, Sérgio T..
Concessão de Permissão a Dados de Saúde Baseada em Blockchain. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 7. , 2019, Goiânia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 263-274.
