Strategies of artificial intelligence and business intelligence applied to immunization in the context of the COVID-19 pandemic

Abstract

Introduction: The application of Business Intelligence and Artificial Intelligence has been used in the health sector, especially in the area of immunization, which generates large amounts of data and health records. Objective: Investigate how artificial intelligence and business intelligence have been used to increase immunization. Method: Integrative review of studies selected through a search strategy in the databases, PubMed/MEDLINE, LILACS, SciELO, after meeting the eligibility criteria of the proposed protocol. Results: We obtained a total of 608 records, of which 75 had their titles and summaries read, 25 included. Of these, 5 duplicates were excluded, totaling 20 articles, of which 12 had a direct or indirect relationship with the theme of study in the context of the COVID-19 pandemic. Articles published between 2020 and 2023 were categorized according to the theme addressed as follows: Monitoring (4 studies); Vaccine Development (3 studies); and Health Communication (5 studies). Conclusion: The use of these strategies favors the context of immunization with a focus on the COVID-19 pandemic, pointing to the democratization of data to promote public policies, generating ease of access and reading of data to assist decision-making by management, as well as helping to reduce the time for vaccine production.