Palavras-chave
Processo de Enfermagem
Registros de Enfermagem
Inteligência Artificial
Sistemas de Apoio a Decisões Clínicas
Pesquisa Qualitativa
Como Citar
Resumo
Objetivo: Analisar as percepções de enfermeiros da Atenção Primária à Saúde sobre um sistema de apoio à tomada de decisão clínica baseado em inteligência artificial, identificando desafios e barreiras de implementação. Método: Estudo qualitativo realizado por meio de entrevistas semiestruturadas presenciais, no ambiente de trabalho, com 20 enfermeiros. As gravações das entrevistas foram transcritas e submetidas à análise de conteúdo temática, conforme proposto por Bardin. Resultados: Foram identificadas três categorias: Percepção sobre o sistema e seu impacto na prática clínica, destacando o potencial da ferramenta para apoiar o raciocínio clínico, qualificar o Processo de Enfermagem e padronizar os registros; Barreiras e desafios na implementação e no uso do sistema, evidenciando dificuldades relacionadas à ausência de interoperabilidade, a limitações de infraestrutura tecnológica e ao aumento da carga de trabalho; e Sugestões de melhoria e recomendações futuras, que apontam para a necessidade de integração entre sistemas, aprimoramentos na usabilidade e estratégias que favoreçam sua incorporação aos fluxos de trabalho na Atenção Primária à Saúde. Conclusão: Sistemas baseados em inteligência artificial apresentam potencial para apoiar a prática clínica na Atenção Primária à Saúde; contudo, sua incorporação efetiva depende da integração de sistemas, de investimentos em infraestrutura digital e de estratégias de implementação alinhadas ao contexto organizacional.
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Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Copyright (c) 2026 Anna Paula Mendes Marques de Lima Franco, Francini Castilha do Nascimento, Yasmim Ribeiro Fracaroli, Luiz Eduardo da Silva, Fábio de Souza Terra, Isabelle Cristinne Pinto Sampaio Costa