Vagner Zeizer Carvalho Paes, A. C. Magalhães, N. C. Pinto, Thaís da Silva Veriato, Marcelo V. P. Sousa, T. C. Fortunato
{"title":"Validation of a chatbot as a tool for monitoring of chronic pain","authors":"Vagner Zeizer Carvalho Paes, A. C. Magalhães, N. C. Pinto, Thaís da Silva Veriato, Marcelo V. P. Sousa, T. C. Fortunato","doi":"10.59681/2175-4411.v15.iespecial.2023.1076","DOIUrl":null,"url":null,"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","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of health informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59681/2175-4411.v15.iespecial.2023.1076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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
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