Supporting Teleconsulting with Text Mining: Continuing Professional Development in the TelehealthRS Project

  • Fábio Damasceno
  • Eliseo Reategui
  • Carlos André Aita Schmitz
  • Erno Harzheim
  • Daniel Epstein
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8658)

Abstract

In the primary care scenario, telehealth appears as an option for continuing professional development of the professionals involved. Questions submitted by physicians and its respective answers in the Brazilian health ministry telehealth platform were mined using a text mining tool. Graphs about concepts present in database were created using this tool, turning clearer subjects addressed by teleconsultants. A questionnaire, addressing the current answer methodology and possibilities with graphs, was answered by teleconsultants of a telehealth Center, the TelehealthRS Project. Answers obtained showed the importance given by teleconsultants about the current answer methodology and the conviction that graphs can turn the request answering easier and better developed. This is guiding an implementation on the current Brazilian health ministry platform that will impact in the accuracy and speed of response offered to the professional, enhancing their training and helping in the effectiveness of their continuing professional development.

Keywords

Primary Care Text mining Continuing professional development 

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References

  1. 1.
    Filho, E.D.C., et al.: Telessaúde para Atenção Primária. Secretaria de Atenção à Saúde, Ministério da saúde (2012)Google Scholar
  2. 2.
    Campos, F., Haddad, A., Wen, C., Alkmin, M., Cury, M.: The National Telehealth Program in Brazil: an instrument of support for primary health care. Latin American Journal of Telehealth (2009)Google Scholar
  3. 3.
    Gorman, P.N., Helfand, M.: Information seeking in primary care: how physicians choose which clinical questions to pursue and which to leave unanswered. Med Decision Making (1995)Google Scholar
  4. 4.
    Mendes, E.: As redes de atenção à saúde. Ciência e Saúde Coletiva (2010)Google Scholar
  5. 5.
    Anderson, M., Gusso, G., Filho, E.: Medicina de Família e Comunidade: especialistas em integralidade. Revista Atenção Primária em Saúde, vol. 8 (January/July 2005)Google Scholar
  6. 6.
    González, W.: Atención primaria de salud en acción: Editorial Nacional de Salud y Seguridad Social (EDNASSS) (2006)Google Scholar
  7. 7.
    Oliveira, M.A.: Educação à Distância como estratégia para a educação permanente. Revista Brasileira de Enfermagem - REBEn (2007)Google Scholar
  8. 8.
    Lopes, S., Piovesan, É., Melo, L., Pereira, M.: Potencialidades da educação permanente para a transformação das práticas de saúde. Comunicação em Ciências da Saúde (2006)Google Scholar
  9. 9.
    Peck, C., McCall, M., McLaren, B., Rotem, T.: Continuing medical education and continuing professional development: international comparisons. British Medical Journal (February 2000)Google Scholar
  10. 10.
    Gibbs, T., Bridgen, D., Hellenberg, D.: Continuing Professional Development. South African Family Practice (2005)Google Scholar
  11. 11.
    Grant, J., Stanton, F.: The effectiveness of continuing professional development Joint Centre for Educacion in Medicine. Reino Unido (1988)Google Scholar
  12. 12.
    World Health Organization, International Classification of Diseases, manual of the International Statistical Classification of diseases, injuries and causes of death: 10th revision (1993)Google Scholar
  13. 13.
    Sampaio, M., Almeida, M., Coeli, C., Moreno, A., Camargo Jr., K.: International Classification of Primary Care: A Systematic Review. Meeting of the who collaborating centres for the family of international classifications (October 2009)Google Scholar
  14. 14.
    Ministério da saúde, Manual da Telessaúde para Atenção Básica/Atenção Primária em Saúde - Protocolo de Resposta (2012a)Google Scholar
  15. 15.
    Sharp, M.: Text Mining.: Rutgers University (2001)Google Scholar
  16. 16.
  17. 17.
    Feldman, R., Sanger, J.: The Text Mining Handbook - Advanced Approaches Analyzing Unstructered Data. Cambridge University Press (2007)Google Scholar
  18. 18.
    Reategui, E., Klemann, M., Epstein, D., Lorenzatti, A.: Sobek: a Text Mining Tool for Educational Applications. In: Int’l Conf. Data Mining, DMIN 2011 (2011)Google Scholar
  19. 19.
    Schenker, A.: Graph-Theoretic Techniques for Web Content Mining. PhD thesis. University of South Florida, PhD Thesis (2003)Google Scholar
  20. 20.
    Macedo, A., Behar, P., Terra, B.: Monitoring interaction and collective text production through text mining. ETD - Educação Termática Digital, pp. 67–83 (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Fábio Damasceno
    • 1
  • Eliseo Reategui
    • 1
  • Carlos André Aita Schmitz
    • 2
  • Erno Harzheim
    • 2
  • Daniel Epstein
    • 1
  1. 1.Postgraduate Program in Informatics on EducationFederal University of Rio Grande do SulBrazil
  2. 2.Postgraduate Program in EpidemiologyFederal University of Rio Grande do SulBrazil

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