Salud digital y geolocalización: Evaluación del uso de la IA en el diagnóstico médico preliminar y la recomendación de centros de salud cercanos en aplicaciones móviles
DOI:
https://doi.org/10.55873/rad.v4i2.416Palabras clave:
accesibilidad, diagnóstico preliminar, equidad, mHealth, usabilidadResumen
El acceso oportuno a servicios de salud sigue siendo un reto en contextos rurales y periurbanos, donde la falta de diagnóstico preliminar inmediato y de orientación hacia centros cercanos limita la atención adecuada. Esta revisión sistemática, realizada bajo el protocolo PRISMA, analizó 28 estudios publicados entre 2021 y 2025 sobre el uso de inteligencia artificial (IA) en aplicaciones móviles para diagnóstico inicial y su integración con sistemas de geolocalización. Los resultados mostraron que la IA alcanza precisiones de hasta 95% en patologías específicas, aunque en chequeadores de síntomas su desempeño fue inferior al 65%. Los modelos de geolocalización mejoraron el acceso a servicios en áreas urbanas, pero enfrentaron limitaciones en zonas rurales por baja conectividad y mapas incompletos. Se concluye que la integración IA geolocalización ofrece un potencial significativo para fortalecer la salud digital, aunque requiere superar desafíos éticos, regulatorios y de equidad en el acceso.
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Derechos de autor 2025 Cesia Keren Pintado-Córdova, Liz Nery Cieza-Cruz, Juan Jose Torres-Solano
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
