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Aplicaciones de la inteligencia artificial en atención primaria de salud: oportunidades y desafíos para América latina
0
Zitationen
2
Autoren
2026
Jahr
Abstract
Artificial intelligence (AI) has progressively been incorporated into medical practice, particularly in Primary Health Care (PHC), where structural limitations highlight the need to optimize processes. This study analyzes literature published between 2015 and 2024 to identify its main applications and the factors influencing its implementation in Latin America. A narrative review with a systematized approach inspired by PRISMA 2020 was conducted. Four main areas were identified: clinical decision support, automated triage, predictive models, and telemonitoring. Findings suggest improvements in service organization and early disease detection. However, limitations persist regarding data quality, fragmentation, and the need for local adaptation. AI should be understood as a complementary tool whose impact depends on its contextual implementation.
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