Estudo piloto de validação de um chatbot de rastreamento, implementado para direcionar a teleassistência em Covid-19
The novel coronavirus pandemic has overloaded healthcare systems to the limit. Our aim was to assess the effectiveness of a chatbot to identify symptoms of COVID-19. The chatbot was developed to screen patients before teleconsultation. The symptoms informed in the dialogue were compared with those r...
| Autores: | , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Brasil |
| Institución: | Universidade Federal de Minas Gerais (UFMG) |
| Repositorio: | Repositório Institucional da UFMG |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufmg.br:1843/60587 |
| Acceso en línea: | https://doi.org/10.34117/bjdv8n2-288 http://hdl.handle.net/1843/60587 https://orcid.org/0000-0001-9232-4309 https://orcid.org/0000-0002-7128-4974 https://orcid.org/0000-0002-8571-3135 https://orcid.org/0000-0003-4278-3771 https://orcid.org/0000-0001-6374-9295 |
| Access Level: | acceso abierto |
| Palabra clave: | Chatbot Covid-19 Telessaúde Teleassistência Piloto Inteligência artificial COVID-19 Telemedicina |
| Sumario: | The novel coronavirus pandemic has overloaded healthcare systems to the limit. Our aim was to assess the effectiveness of a chatbot to identify symptoms of COVID-19. The chatbot was developed to screen patients before teleconsultation. The symptoms informed in the dialogue were compared with those reported to the doctors in an emergency service. Among 96 patients assessed, dyspnea was the most frequent symptom (16,6%), and the only one that showed moderate agreement with the medical history recorded in electronic medical records (Kappa=0.605). In conclusion, the technology was useful in detecting one of the major symptoms of COVID-19. However, it was not possible to evidence its effectiveness to assessminor symptoms. |
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