A Study about the use of text mining in teleconsulting classification in the context of the TelehealthRS Project

Authors

  • Fábio Rafael Damasceno Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Informática na Educação, Porto Alegre.
  • Eliseo Berni Reategui Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Informática na Educação, Porto Alegre.
  • Erno Harzheim Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Epidemiologia, Porto Alegre.
  • Carlos André Aita Schmitz Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Porto Alegre.
  • Daniel Epstein Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Informática na Educação, Porto Alegre.

DOI:

https://doi.org/10.29397/reciis.v10i2.972

Keywords:

Telehealth, Primary Health Care, education, continuing, health education, data mining, computer systems.

Abstract

This article presents a study on how text mining technology may contribute to build answers to teleconsultation made in the context of telehealth. In this scenario, one of the difficulties for the preparation of responses to consultations is related to the classification of questions initially posed by the applicant.
In this research, we used Sobek mining tool to extract concepts from a number of previous requests and integrated it to a teleconsultation experimental environment. Then a study with 37 professionals from various regions of the country was carried out, professionals who answered two teleconsultation using the new system. Results showed that text mining can be helpful in locating relevant information to improve the answering process. The teleconsultants that participated in the research also considered that using previous requests and responses in teleconsultations may contribute to the continuing education process of health professionals.

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Published

2016-06-30

How to Cite

Damasceno, F. R., Reategui, E. B., Harzheim, E., Schmitz, C. A. A., & Epstein, D. (2016). A Study about the use of text mining in teleconsulting classification in the context of the TelehealthRS Project. Revista Eletrônica De Comunicação, Informação & Inovação Em Saúde, 10(2). https://doi.org/10.29397/reciis.v10i2.972

Issue

Vol. 10 No. 2 (2016)

Section

Original articles

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