De los datos a la decisión: revisión sistemática del rol de la inteligencia artificial y el machine learning en la optimización de la gestión administrativa de Instituciones de Salud

Revisión sistemática, guiada por PRISMA 2020, sobre el papel de la inteligencia artificial y el machine learning en la gestión administrativa de instituciones de salud. Se buscó en PubMed, Scopus, SciELO y Web of Science (2016–2025) y se analizaron 25 artículos en tres ejes: recursos y logística, finanzas y ciclo de ingresos, y experiencia y flujo del paciente. Las aplicaciones más frecuentes fueron la predicción de ocupación de camas, la programación automatizada de personal, la gestión de inventarios, la detección de fraude y de glosas, los chatbots administrativos y la predicción de inasistencia a citas, con beneficios en eficiencia operativa, sostenibilidad financiera y experiencia del paciente. La implementación efectiva exige interoperabilidad tecnológica, cultura de datos y competencias digitales institucionales.

Palabras clave: inteligencia artificial, machine learning, gestión administrativa en salud, toma de decisiones, instituciones de salud, optimización de procesos

Síntesis elaborada para este sitio. El resumen oficial completo está en la Hemeroteca UNAD.

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Dazza Pineda, C. A., & Garzón León, F. A. (2026). De los datos a la decisión: revisión sistemática del rol de la inteligencia artificial y el machine learning en la optimización de la gestión administrativa de Instituciones de Salud. Biociencias (UNAD), 9(1). https://doi.org/10.22490/26194759.11707