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Geolocalização de internações: uma solução baseada no programa estatístico R para a implantação de possibilidades de análise baseadas no sistema de informação hospitalar

Author

Listed:
  • Thiago Augusto Hernandes Rocha

    (Center for Research and Graduate Studies in Business Administration, Federal University of Minas Gerais)

  • Núbia Cristina da Silva

    (Center for Research and Graduate Studies in Business Administration, Federal University of Minas Gerais)

  • Pedro Vasconcelos Amaral

    (Centre for Development and Regional Planning, Federal University of Minas Gerais)

  • João Ricardo Nickenig Vissoci

    (Duke Global Health Institute, Duke University (USA))

  • Erika Bárbara Abreu Fonseca Thomaz

    (Department of Public Health, Federal University of Maranhão)

  • Rejane Christine de Sousa Queiroz

    (Department of Public Health, Federal University of Maranhão)

  • Matthew Harris

    (Faculty of Medicine, School of Public Health, Imperial College London)

  • Christopher Millet

    (Faculty of Medicine, School of Public Health, Imperial College London)

  • Thomas Hone

    (Faculty of Medicine, School of Public Health, Imperial College London)

  • Antonio Augusto Moura da Silva

    (Department of Public Health, Federal University of Maranhão)

  • Luiz Augusto Facchini

    (Departamento de Medicina Social, Universidade Federal de Pelotas)

Abstract

Objective: This work details a method of geolocation of data on hospital admission authorizations, disclosed through the hospital information system. Methods: the present work can be classified as methodological development. In order to spatializedata of the AIHs wecreateda script using the software R, based on the packages downloadDataSUS and CepR. The script was applied to survey the AIHs in Goiás, for the year 2015. After downloading and pre-processing of the data, the IAHs were spatialized and could be geolocated. Results: 97.58% of the AIHs processed in 2015 in Goiás were geolocated. Of the 295,670 AIHs processed, it was possible to extract 24,220 different Zip codewith a success rate of geolocation of 98.72%. Conclusion: The method detailed in this paper opens a new range of possibilities for the design of evaluative studies, formulation of policies and planning of health care actions.

Suggested Citation

  • Thiago Augusto Hernandes Rocha & Núbia Cristina da Silva & Pedro Vasconcelos Amaral & João Ricardo Nickenig Vissoci & Erika Bárbara Abreu Fonseca Thomaz & Rejane Christine de Sousa Queiroz & Matthew H, 2017. "Geolocalização de internações: uma solução baseada no programa estatístico R para a implantação de possibilidades de análise baseadas no sistema de informação hospitalar," Textos para Discussão Cedeplar-UFMG 567, Cedeplar, Universidade Federal de Minas Gerais.
    • Handle: RePEc:cdp:texdis:td567
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    File URL: https://www.cedeplar.ufmg.br/pesquisas/td/TD%20567.pdf
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    More about this item

    Keywords

    Hospitalization; Information Systems; Automatic Data Processing; Data Analysis; Public Health Systems Research.;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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