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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.
  • Silveira R; Fundação-Oswaldo Cruz-Ceará.
  • Pernencar C; Instituto Federal de Educação do Ceará - IFCE.
  • de Sousa F; ICNOVA-Instituto de Comunicação da NOVA, Faculdade de Ciências Sociais e Humanas da Universidade Nova de Lisboa, Lisboa, Portugal.
  • Gomes K; Instituto Federal de Educação do Ceará - IFCE.
  • Oliveira D; Universidade Federal do Ceará.
  • Saboia I; Universidade Estadual do Ceará.
  • Mourão C; Universidade Federal do Ceará - Instituto UFC Virtual.
  • Monteiro O; Fundação-Oswaldo Cruz-Ceará.
  • Barreto I; Fundação-Oswaldo Cruz-Ceará.
Procedia Comput Sci ; 219: 1271-1278, 2023.
Article in English | MEDLINE | ID: covidwho-2281482
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Reviews / Systematic review/Meta Analysis Language: English Journal: Procedia Comput Sci Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Reviews / Systematic review/Meta Analysis Language: English Journal: Procedia Comput Sci Year: 2023 Document Type: Article