Validation of a chatbot as a tool for monitoring of chronic pain

Authors

  • Vagner Zeizer Carvalho Paes Bright Photomedicine Ltda
  • Ana Carolina de Magalhães Bright Photomedicine Ltda
  • Nathali Cordeiro Pinto Bright Photomedicine Ltda
  • Thaís da Silva Veriato Bright Photomedicine Ltda
  • Marcelo Victor Pires de Sousa Bright Photomedicine Ltda
  • Thereza Cury Fortunato Bright Photomedicine Ltda

DOI:

https://doi.org/10.59681/2175-4411.v15.iEspecial.2023.1076

Keywords:

Chronic Pain, Clinical Evolution, Computer Systems

Abstract

In this work we studied the use of a chatbot as a monitoring tool for chronic pain. An anamnesis was performed on 28 patients, and afterward, the pain intensity response of each patient was collected by the therapist and the chatbot. It was obtained a strong correlation of 0.94 between the pain intensity collected by the therapist and the chatbot. We noted that 50% of the answers to the chatbot were recorded about 30 minutes after the message was sent. Patients in the age range of 30-60 years responded quicker than others. With respect to gender, male patients answered quicker the chatbot on average. As far as the answers were recorded over the days by the chatbot, the answers recorded diminished approximately linearly. We validated the chatbot as an efficient monitoring of the pain's intensity, being an easy interactive tool showing good adhesion by the patients

Author Biographies

Vagner Zeizer Carvalho Paes, Bright Photomedicine Ltda

Bright Photomedicine Ltda., Edifício CIETEC, Av. Prof. Lineu Prestes, 2242, São Paulo-SP, Brasil.

Ana Carolina de Magalhães, Bright Photomedicine Ltda

Bright Photomedicine Ltda., Edifício CIETEC, Av. Prof. Lineu Prestes, 2242, São Paulo-SP, Brasil. Insper Instituto de Ensino e Pesquisa, São Paulo-SP, Brasil.

Nathali Cordeiro Pinto, Bright Photomedicine Ltda

Bright Photomedicine Ltda., Edifício CIETEC, Av. Prof. Lineu Prestes, 2242, São Paulo-SP, Brasil. Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Dr Enéas de Carvalho Aguiar, 44, São Paulo-SP, Brasil.

Thaís da Silva Veriato, Bright Photomedicine Ltda

Bright Photomedicine Ltda., Edifício CIETEC, Av. Prof. Lineu Prestes, 2242, São Paulo-SP, Brasil.

Marcelo Victor Pires de Sousa, Bright Photomedicine Ltda

Bright Photomedicine Ltda., Edifício CIETEC, Av. Prof. Lineu Prestes, 2242, São Paulo-SP, Brasil. Departamento de Física, Universidade Federal do Ceará (UFC), Fortaleza-CE, Brasil. D’Or Instituto de Pesquisa e Ensino (IDOR), Rio de Janeiro-RJ, Brasil.

Thereza Cury Fortunato, Bright Photomedicine Ltda

Bright Photomedicine Ltda., Edifício CIETEC, Av. Prof. Lineu Prestes, 2242, São Paulo-SP, Brasil.

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Published

2023-07-20

How to Cite

Paes, V. Z. C., Magalhães, A. C. de, Pinto, N. C., Veriato, T. da S., Sousa, M. V. P. de, & Fortunato, T. C. (2023). Validation of a chatbot as a tool for monitoring of chronic pain. Journal of Health Informatics, 15(Especial). https://doi.org/10.59681/2175-4411.v15.iEspecial.2023.1076

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