Transformación de la Administración y gestión sanitaria mediante un ecosistema basado en inteligencia artificial
Palabras clave:
Inteligencia Artificial, Sanidad, Administración p`´ublica, Salud PúblicaSinopsis
La inteligencia artificial (IA) se presenta como una herramienta esencial con un impacto potencial significativo en la gestión de la salud, ofreciendo soluciones confiables y escalables para grandes poblaciones. Su aplicación se extiende a aspectos clínicos como el diagnóstico, las recomendaciones de tratamiento, la participación del paciente y diversas actividades administrativas, liberando tiempo valioso para la atención directa. Además, la IA automatiza tareas como la entrada de datos, el procesamiento de reclamaciones y la programación de citas, mejorando la eficiencia operativa.
En el ámbito de la gestión, la IA optimiza la experiencia del paciente y potencia la salud poblacional, además de contribuir a la reducción de costos y a la mejora de la asignación de recursos. Aunque enfrenta desafíos regulatorios y éticos, su capacidad para transformar el procesamiento de datos de salud, el diagnóstico de enfermedades y la gestión administrativa es innegable.
Este trabajo no solo explora la implementación actual de la IA en la gestión sanitaria andaluza, sino que también destaca la necesidad de avanzar hacia un ecosistema integrado basado en IA. Este enfoque permitiría que los datos generados por diversas aplicaciones mejoren la atención clínica, a la par de informar acerca de la planificación y gestión de recursos en tiempo real. Al integrar los datos radiológicos, por ejemplo, se podría anticipar la demanda de procedimientos médicos y ajustar los objetivos de los médicos de Atención Primaria, además de identificar incidencias anormalmente altas de enfermedades en la población para una respuesta más eficaz en salud pública.
En definitiva, el trabajo aborda aplicaciones prácticas de la IA en hospitales, beneficios potenciales, desafíos éticos y oportunidades en investigación y desarrollo, proponiendo un marco para mejorar la salud global a través de soluciones sostenibles que convergen datos sociales y de salud en un sistema inteligente y colaborativo.
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