Algorithmic Bioethics and Socio-Health Communication: Perceptions and Ethical Challenges in Latin American Digital Community Health
DOI:
https://doi.org/10.35669/rcys.2026.16.e399Keywords:
algorithmic bioethics, socio-health communication, artificial intelligence, digital health, community participation, Latin AmericaAbstract
Introduction: The growing integration of artificial intelligence (AI) in healthcare has transformed not only clinical processes but also communication among professionals, institutions, and communities. Driven by the digital transformation of health systems, this process raises pressing questions about equity, autonomy, and social justice in community health. This study examines the bioethical and communicative challenges arising from the incorporation of algorithmic systems in Latin American community health initiatives, from the perspective of socio-health communication. Methodology: Using a qualitative and exploratory approach, the research combines documentary analysis and semi-structured interviews with fifteen healthcare professionals and community leaders selected through purposive sampling in Mexico, Colombia, and Brazil. Results: The analysis reveals tensions between technological trust, patient autonomy, and communicative gaps that constrain citizen participation. Discussion: The study proposes a framework of participatory algorithmic bioethics that integrates transparency, equity, and deliberation into digital health practices. Conclusions: Underscoring that socio-health communication is a fundamental ethical dimension for humanizing technological innovation and ensuring inclusive digital health governance.
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