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GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic?
The COVID-19 increased the importance of patient's continuous assessment of health outcomes. In 2021 WHO proposed some Digital Health guidelines arguing that health systems should consider the use of emergent technologies in health care services. This health environment is providing intelligent...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030185/ https://www.ncbi.nlm.nih.gov/pubmed/36968663 http://dx.doi.org/10.1016/j.procs.2023.01.411 |
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author | Silveira, Raquel Pernencar, Cláudia de Sousa, Fábio Gomes, Kamila Oliveira, Deivith Saboia, Inga Mourão, Cristiane Monteiro, Odorico Barreto, Ivana |
author_facet | Silveira, Raquel Pernencar, Cláudia de Sousa, Fábio Gomes, Kamila Oliveira, Deivith Saboia, Inga Mourão, Cristiane Monteiro, Odorico Barreto, Ivana |
author_sort | Silveira, Raquel |
collection | PubMed |
description | The COVID-19 increased the importance of patient's continuous assessment of health outcomes. In 2021 WHO proposed some Digital Health guidelines arguing that health systems should consider the use of emergent technologies in health care services. This health environment is providing intelligent systems to guide patients in self-care. One example of that is the chatbot which is, a conversational agent that have been assuming an important role in how to improve health knowledge, reducing the incidence of diseases and avoiding new ones. Pregnant women are a profile where the self-care referred before is a critical issue. Prenatal services reveal to be an important part of the care process where most complications for that women happen. This article aims to comprehend how pregnant women interact with a conversational agent and how relevant this Digital Health tool is for primary health care services. The study presents the process and results of a systematic literature review about the user experience with of a chatbot in pregnant women self-care context; a summary of GISSA intelligent chatbot development including the use of technologies such as DialogFlow; and the process and results of GISSA usability evaluation in research field. Results show that a small amount of articles was gathered and the chatbot as a tool is a relevant opportunity for primary care health services in Brasil. |
format | Online Article Text |
id | pubmed-10030185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100301852023-03-22 GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic? Silveira, Raquel Pernencar, Cláudia de Sousa, Fábio Gomes, Kamila Oliveira, Deivith Saboia, Inga Mourão, Cristiane Monteiro, Odorico Barreto, Ivana Procedia Comput Sci Article The COVID-19 increased the importance of patient's continuous assessment of health outcomes. In 2021 WHO proposed some Digital Health guidelines arguing that health systems should consider the use of emergent technologies in health care services. This health environment is providing intelligent systems to guide patients in self-care. One example of that is the chatbot which is, a conversational agent that have been assuming an important role in how to improve health knowledge, reducing the incidence of diseases and avoiding new ones. Pregnant women are a profile where the self-care referred before is a critical issue. Prenatal services reveal to be an important part of the care process where most complications for that women happen. This article aims to comprehend how pregnant women interact with a conversational agent and how relevant this Digital Health tool is for primary health care services. The study presents the process and results of a systematic literature review about the user experience with of a chatbot in pregnant women self-care context; a summary of GISSA intelligent chatbot development including the use of technologies such as DialogFlow; and the process and results of GISSA usability evaluation in research field. Results show that a small amount of articles was gathered and the chatbot as a tool is a relevant opportunity for primary care health services in Brasil. The Author(s). Published by Elsevier B.V. 2023 2023-03-22 /pmc/articles/PMC10030185/ /pubmed/36968663 http://dx.doi.org/10.1016/j.procs.2023.01.411 Text en © 2023 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Silveira, Raquel Pernencar, Cláudia de Sousa, Fábio Gomes, Kamila Oliveira, Deivith Saboia, Inga Mourão, Cristiane Monteiro, Odorico Barreto, Ivana GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic? |
title | GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic? |
title_full | GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic? |
title_fullStr | GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic? |
title_full_unstemmed | GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic? |
title_short | GISSA intelligent chatbot experience – How effective was the interaction between pregnant women and a chatbot during the COVID-19 pandemic? |
title_sort | gissa intelligent chatbot experience – how effective was the interaction between pregnant women and a chatbot during the covid-19 pandemic? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030185/ https://www.ncbi.nlm.nih.gov/pubmed/36968663 http://dx.doi.org/10.1016/j.procs.2023.01.411 |
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