Proposta de um Servidor de Dados em Pesquisa Clínica Baseado no Padrão HL7 FHIR de Interoperabilidade
Resumo
Este trabalho apresenta um modelo implementável de servidor FHIR para dados de pesquisa em saúde, complementando a premissa de que pesquisa não deve mais ser considerada uma atividade isolada e sim conduzida em estruturas interoperáveis para eficiência e eficácia operacional. Os resultados adquiridos demonstram que é possível assim superar o grande desafio na comparação de dados de diferentes fontes, garantindo que conjuntos sejam correspondentes entre si.
Referências
Benson, T. and Grieve, G. (2021). Principles of Health Interoperability. Health Information Technology Standards. Springer International Publishing, Cham, 4 edition.
Braunstein, M. L. (2018). Health Informatics on FHIR: How HL7’s New API is Transforming Healthcare. Springer International Publishing, Cham.
El-Sappagh, S., Ali, F., Hendawi, A., Jang, J. H., and Kwak, K. S. (2019). A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard. BMC Medical Informatics and Decision Making, 19(1):1–36.
Hawig, D., Zhou, C., Fuhrhop, S., Fialho, A. S., and Ramachandran, N. (2019). Designing a Distributed Ledger Technology System for Interoperable and General Data Protection Regulation–Compliant Health Data Exchange: A Use Case in Blood Glucose Data. Journal of Medical Internet Research, 21(6).
Health Level Seven International (2021). HL7 International Website. http://hl7.org/fhir/.
Leroux, H., Metke-Jimenez, A., and Lawley, M. J. (2017). Towards achieving semantic interoperability of clinical study data with FHIR. Journal of Biomedical Semantics, 8(1):41.
Maxhelaku, S. and Kika, A. (2019). Improving Interoperability in Healthcare Using HL7 FHIR. International Academic Conference, pages 35–42.
Saripalle, R. K. (2019). Fast Health Interoperability Resources (FHIR): Current Status in the Healthcare System. International Journal of E-Health and Medical Communications, 10(1):76–93.
Smile CDR (2021). HAPI FHIR: The Open Source FHIR API for Java. https://hapifhir.io/.
Solbrig, H. R., Prud’hommeaux, E., Grieve, G., McKenzie, L., Mandel, J. C., Sharma, D. K., and Jiang, G. (2017). Modeling and Validating HL7 FHIR Proles Using Semantic Web Shape Expressions (ShEx). Journal of Biomedical Informatics, 67:90–100.
Braunstein, M. L. (2018). Health Informatics on FHIR: How HL7’s New API is Transforming Healthcare. Springer International Publishing, Cham.
El-Sappagh, S., Ali, F., Hendawi, A., Jang, J. H., and Kwak, K. S. (2019). A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard. BMC Medical Informatics and Decision Making, 19(1):1–36.
Hawig, D., Zhou, C., Fuhrhop, S., Fialho, A. S., and Ramachandran, N. (2019). Designing a Distributed Ledger Technology System for Interoperable and General Data Protection Regulation–Compliant Health Data Exchange: A Use Case in Blood Glucose Data. Journal of Medical Internet Research, 21(6).
Health Level Seven International (2021). HL7 International Website. http://hl7.org/fhir/.
Leroux, H., Metke-Jimenez, A., and Lawley, M. J. (2017). Towards achieving semantic interoperability of clinical study data with FHIR. Journal of Biomedical Semantics, 8(1):41.
Maxhelaku, S. and Kika, A. (2019). Improving Interoperability in Healthcare Using HL7 FHIR. International Academic Conference, pages 35–42.
Saripalle, R. K. (2019). Fast Health Interoperability Resources (FHIR): Current Status in the Healthcare System. International Journal of E-Health and Medical Communications, 10(1):76–93.
Smile CDR (2021). HAPI FHIR: The Open Source FHIR API for Java. https://hapifhir.io/.
Solbrig, H. R., Prud’hommeaux, E., Grieve, G., McKenzie, L., Mandel, J. C., Sharma, D. K., and Jiang, G. (2017). Modeling and Validating HL7 FHIR Proles Using Semantic Web Shape Expressions (ShEx). Journal of Biomedical Informatics, 67:90–100.
Publicado
26/08/2021
Como Citar
VIEIRA, Igor O.; MARQUES, Jefferson L. B..
Proposta de um Servidor de Dados em Pesquisa Clínica Baseado no Padrão HL7 FHIR de Interoperabilidade. In: ESCOLA REGIONAL DE COMPUTAÇÃO APLICADA À SAÚDE (ERCAS), 8. , 2021, São Paulo.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 94-97.
DOI: https://doi.org/10.5753/ercas.2021.17448.
