PROPOSED DATABASE MODEL DISTRIBUTED FOR THE UNIQUE PATIENT ELECTRONIC PRONOUNER
DOI:
https://doi.org/10.24325/issn.2446-5763.v4i11p266-280Keywords:
Prontuário Eletrônico do Paciente, Banco de Dados Distribuídos, Computação em Grade, Tolerância a Falhas, Desempenho, Electronic Health Record, Distributed Databases, Grid Computing, Fault Tolerance, PerformanceAbstract
Current models of patient records are isolated and proprietary, making patient information dispersed, redundant and unintegrated, impacting treatment quality and epidemiological analysis. It was proposed a data model composed by three levels of information: Synthesis, Extended Synthesis and Complete List. The synthesis is frequently accessed and distributed in databases and the other two levels are accessed when the synthesis is insufficient. The computational grid offers decentralization, scalability, and fault tolerance objectives. The model was supported by the JAVA Parallel Processing Framework, GlassFish and MySQL servers. In the results, 19 use cases and the entity-relationship model were elaborated. The latency was evaluated in 4 configurations in the transfer of the synthesis by the event in MySQL. From 5 to 6 servers, it was reduced by 29%. From 5 to 8 servers, it fell by 49-67%. It was concluded that, the fragmentation of the model decreased the latency, making possible its operationalization.
Downloads
References
DEMCHENKO, Y. et al. (2012) "Intercloud Architecture for interoperability and integration". In: IEEE International Conference on Cloud Computing Technology and Science, 2012, pp. 666-674.
FURUIE, S.S. et al. Prontuário eletrônico de pacientes: Integrando informações clínicas e imagens médicas. Revista Brasileira de Engenharia Biomédica; 2003 19(3), pp. 125-137.
GAZZARATA, R., GIANNINI, B., GIACOMINI, M.A. SOA-based platform to support clinical data sharing. Journal of Healthcare Engineering, v. 2017, 2017.
HERSH, W.R. et al. Caveats for the use of operational electronic health record data in comparative effectiveness research. Medical care, v. 51, n. 8 0 3, 2013, pp. S30.
HMEIDI, I. et al. Survey of Cloud Computing Web Services for Healthcare Information Retrieval Systems. In: The International Conference on Computing Technology and Information Management (ICCTIM). Society of Digital Information and Wireless Communication, 2014. pp. 291.
KING, J. et al. Clinical benefits of electronic health record use: national findings. Health services research, v. 49, n. 1pt2, 2014, pp. 392-404.
KURZE, T. et al. (2011) Cloud Federation. In: The Second International Conference on Cloud Computing, Grids and Virtualization, 2011, pp. 32-38.
LUNARDELLI, R.S.A., TONELLO, I.M.S, MOLINA, L. G. (2015). A Constituição da Memória dos Procedimentos em Saúde no Contexto do Prontuário Eletrônico do Paciente. Informação & Informação, 19(3), 2015, pp. 107-124.
SHAMS, R. et al. A survey of medical image registration on multicore and the GPU. IEEE Signal Processing Magazine, v. 27, n. 2, 2010, pp. 50-60.
SILVA, B.M.C. et al. Mobile-health: A review of current state in 2015. Journal of biomedical informatics, v. 56, 2015, pp. 265-272.
SOARES CRUZ, J.A., FLORES, D., CORREA GARCIA, O.M. O Prontuário Eletrônico de Paciente (PEP) como memória, patrimônio documental e cultural. Em Questão, v. 17, n. 2, 2011.
XIONG, J., WANG, J., XU J. (2010) Research of Distributed Parallel Information Retrieval Based on JPPF. In: International Conference of Information Science and Management Engineering ISME, 1:109-111; DOI:10.1109/ISME, 2010.
