A Business Analytics Framework for Primary Care

Journal article

Healthcare systems face growing challenges due to increased demand for care, population aging, and resource scarcity. Consequently, artificial intelligence (AI) emerges as a key tool to optimize healthcare service management, enhancing operational efficiency and care quality.Objective:To analyze the use of Artificial Intelligence as a tool in healthcare service management..Methodology:A descriptive study with a quantitative approach, non-experimental and retrospective design, and literature review was conducted. A search for articles published between 2019 and 2025 was performed in databases such as PubMed and Scopus, using terms like "Artificial Intelligence," "Healthcare Service Management," "Healthcare Service Administration," "Machine Learning," "Organizational Efficiency," "Cost Control," and "Decision Making." Using the PICO methodology, 22 articles were selected.Results:Artificial intelligence optimizes resources with accuracies ranging from 88.7% to 100%, reduces costs by up to 59%, and improves operational efficiency (AUC 0.82-0.90). It stands out for its ability to anticipate demands and manage personnel, although prior training is required for its adoption.Conclusion: AI strengthens healthcare systems by improving resource and process management, enhancing care quality and sustainability, provided it is supported by adequate infrastructure and training.Los sistemas de salud enfrentan desafíos crecientes por el aumento en la demanda de atención, el envejecimiento poblacional y la escasez de recursos, por lo que, la inteligencia artificial (IA), surge como una herramienta clave para optimizar la gestión de los servicios de salud, mejorando la eficiencia operativa y la calidad de la atención. Objetivo: Analizar el uso de la Inteligencia Artificial como herramienta en la gestión de servicios de salud. Metodología: Se realizó un estudio descriptivo con enfoque cuantitativo, de diseño no experimental y retrospectivo y de revisión bibliográfica. Se realizó la búsqueda de artículos publicados entre 2019 y 2025, en bases de datos como PubMed y Scopus, con términos como "Inteligencia Artificial”, “Gestión de Servicios de Salud" “Administración de Servicios de Salud”, “Aprendizaje Automático”, “Eficiencia Organizacional”, “Control de Costos”, “Toma de Decisiones”; mediante la metodología PICO, se seleccionaron 22 artículos. Resultados: La inteligencia artificial optimiza recursos con precisiones entre el 88.7-100%, reduce costos hasta un 59% y mejora la eficiencia operativa (AUC 0.82-0.90), destacando su capacidad para anticipar demandas y gestionar personal, aunque requiere capacitación previa para su adopción. Conclusión: La IA fortalece los sistemas de salud al mejorar la gestión de recursos y procesos, incrementando la calidad de la atención y la sostenibilidad, siempre que se apoye en infraestructura y formación adecuadas

Authors: Ettefaghian, A; Krause, P; De Lusignan, S; Stergioulas, LK

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IOS Press
• Journal: Studies in Health Technology and Informatics
• Volume: 298
• Pages: 152-156
• Publication date: 2022-08-31
• DOI: 10.3233/shti220926
• ISSN: 0926-9630
• Language: Spanish
• Keywords: Analytics; Data science; Business process management; Business; Operations management; Engineering; Conceptual framework; Business process; Decision support system; Medicine; Dashboard; Health care; Computer science; Knowledge management; Process management; Primary care; Context (archaeology); Data mining; Work in process; Process (computing); Work (physics)