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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/54564
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dc.creatorBruno Azevedo Chagaspt_BR
dc.creatorAntonio L. Ribeiropt_BR
dc.creatorKícila Ferreguettipt_BR
dc.creatorThiago C. Ferreirapt_BR
dc.creatorMilena S. Marcolinopt_BR
dc.creatorLeonardo B. Ribeiropt_BR
dc.creatorAdriana Silvina Paganopt_BR
dc.creatorZilma S. N. Reispt_BR
dc.creatorRaquel O. Pratespt_BR
dc.creatorWagner Meira Jr.pt_BR
dc.date.accessioned2023-06-05T23:05:25Z-
dc.date.available2023-06-05T23:05:25Z-
dc.date.issued2021-12-13-
dc.citation.volume24pt_BR
dc.citation.issue3pt_BR
dc.citation.spage1pt_BR
dc.citation.epage17pt_BR
dc.identifier.doihttps://doi.org/10.19153/cleiej.24.3.6pt_BR
dc.identifier.issn0717-5000pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/54564-
dc.description.resumoThe COVID-19 pandemic and the need for social distancing have created a demand for new and innovative solutions in healthcare systems worldwide. One of the strategies that have been implemented are chatbots, which can be helpful in providing reliable health information and preventing people from seeking assistance in healthcare centers and being unnecessarily exposed to the virus. In this context, although a high number of chatbots have been implemented worldwide, little has been discussed about the process and challenges in developing and implementing this technology. This paper reports on an action research, which designed a novel chatbot as a prompt response to the COVID-19 pandemic. The chatbot is intended to be a first layer of interaction with the public, performing triage of patients and providing information about COVID-19 on a large scale and without human contact. Our contribution is twofold: (i) we reflected on the development process and discussed lessons learned and recommendations to support a multidisciplinary development and evolution process of the chatbot; and (ii) we identified some interactive and technological features that can be used as a reference framework for this kind of technology. These contributions can be useful to other researchers and multidisciplinary teams facing similar challenges.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentFALE - FACULDADE DE LETRASpt_BR
dc.publisher.departmentICX - DEPARTAMENTO DE ESTATÍSTICApt_BR
dc.publisher.departmentMED - DEPARTAMENTO DE CLÍNICA MÉDICApt_BR
dc.publisher.departmentMED - DEPARTAMENTO DE GINECOLOGIA OBSTETRÍCIApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofCLEI Electronic Journalpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectChatbotpt_BR
dc.subjectTelehealthpt_BR
dc.subjectCOVID pandemicpt_BR
dc.subjectAction Researchpt_BR
dc.subject.otherCiência da Computaçãopt_BR
dc.subject.otherSaúde Coletivapt_BR
dc.titleChatbot as a telehealth intervention strategy in the COVID-19 pandemic: lessons learned from an action research approachpt_BR
dc.typeArtigo de Periódicopt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8571-3135pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-0364-3584pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-1919-0073pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4278-3771pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9035-0722pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3150-3503pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-6374-9295pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-7128-4974pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-2614-2723pt_BR
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