Marketing Digital em Saúde, IA e Determinantes Sociais

Uma Análise CTS sobre Riscos, Potências e Limites

Autores

  • Luciano Augusto Toledo Universidade Presbiteriana Mackenzie
  • Lisa Stock Toledo Universidade Presbiteriana Mackenzie

Palavras-chave:

Inteligência artificial, Marketing Digital em Saúde, Estudos CTS

Resumo

O presente estudo investiga as inter-relações entre inteligência artificial, marketing digital em saúde e os Estudos de Ciência, Tecnologia e Sociedade (CTS), analisando como tais tecnologias moldam práticas sociais, influenciam processos comunicacionais e reconfiguram dinâmicas institucionais no contexto contemporâneo. Partindo da compreensão de que a IA não constitui um artefato neutro, mas um elemento ativo de redes sociotécnicas, examina-se o potencial transformador de sistemas algorítmicos na ampliação da eficiência diagnóstica, na otimização de campanhas de saúde e na geração de conteúdos personalizados. Ao mesmo tempo, destacam-se riscos associados à opacidade dos modelos, vieses algorítmicos, desigualdades de acesso e desafios éticos relacionados à vigilância digital e à hiperpersonalização de mensagens sensíveis. Exemplos empíricos, como o uso de machine learning durante a pandemia de COVID-19 e em sistemas hospitalares avançados, ilustram tensões entre inovação e equidade. Com base na literatura CTS e no arcabouço contemporâneo do Marketing 6.0, o estudo propõe um modelo intervencionista composto por cinco vertentes: auditoria algorítmica, alfabetização digital crítica, comunicação responsável, inovação sociotécnica territorial e governança nacional. Conclui-se que a construção de ecossistemas de IA responsáveis depende de políticas públicas robustas, participação social e estratégias multidimensionais capazes de equilibrar benefícios tecnológicos e justiça social, garantindo que a saúde digital avance de modo ético, inclusivo e sustentável.

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Biografia do Autor

Luciano Augusto Toledo, Universidade Presbiteriana Mackenzie

Professor na Universidade Presbiteriana Mackenzie

Lisa Stock Toledo, Universidade Presbiteriana Mackenzie

Bacharel em psicologia pela Universidade Presbiteriana Mackenzie

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Publicado

2026-04-01

Como Citar

Toledo, L. A., & Toledo, L. S. (2026). Marketing Digital em Saúde, IA e Determinantes Sociais: Uma Análise CTS sobre Riscos, Potências e Limites. Práticas Em Contabilidade E Gestão, 14(1). Recuperado de http://editorarevistas.mackenzie.br/index.php/pcg/article/view/18419