Optimización de un sistema de gestión de cirugías hospitalarias utilizando Python y PostgreSQL
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2026-08-07
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Universidad Tecnológica Centroamericana UNITEC
Resumen
La trazabilidad de la información quirúrgica es un componente primordial para una gestión hospitalaria segura y eficiente. En hospitales públicos de Honduras, la gestión quirúrgica enfrenta limitaciones debido al uso de procesos manuales en la programación y registro de cirugías. Ante esta problemática; que afecta la coordinación entre áreas médicas y administrativas, incrementa los tiempos de espera y limita la capacidad de respuestas ante emergencias, se optimizó un sistema de gestión de cirugías hospitalarias utilizando Python y PostgreSQL.
El sistema integró funciones de registro de pacientes, disponibilidad de quirófanos, historial de cirugías, recordatorios automáticos y estadísticas quirúrgicas, ofreciendo una visualización clara y en tiempo real del bloque quirúrgico. La validación incluyó entrevistas y encuestas al personal de salud, cuyos resultados destacan la reducción de errores, la facilidad de uso y la mejora en la coordinación de roles.
En comparación con métodos manuales, el sistema demostró mayor eficiencia y transparencia, con una mejora de más de 70% en tiempos operativos, constituyéndose en una herramienta innovadora y escalable para la gestión hospitalaria. La implementación del sistema promueve la gestión eficiente, capaz de digitalizar procesos clave y mejorar la eficiencia quirúrgica en contextos con recursos limitados.
The traceability of surgical information is a key component of safe and efficient hospital management. In public hospitals in Honduras, surgical management faces limitations due to the use of manual processes for scheduling and registration surgeries. In response to this problem, which affects coordination between medical and administrative departments, increases wait times and limits the ability to respond to emergencies, a hospital surgery management system was optimized using Python and PostgreSQL. The system integrated functions for patient registration, operating room availability, surgical history, automatic reminders, and surgical statistics, providing a clear, real-time view of the surgical unit. Validation included interviews and surveys of healthcare staff, whose results highlight reduced errors, ease of use, and improved coordination of roles. Compared to manual methods, the system demonstrated greater efficiency and transparency, with an improvement of over 70% in operating times, establishing itself as an innovative and scalable tool for hospital management. The implementation of the system promotes efficient management, capable of digitizing key processes and improving surgical efficiency in resource limited settings.
The traceability of surgical information is a key component of safe and efficient hospital management. In public hospitals in Honduras, surgical management faces limitations due to the use of manual processes for scheduling and registration surgeries. In response to this problem, which affects coordination between medical and administrative departments, increases wait times and limits the ability to respond to emergencies, a hospital surgery management system was optimized using Python and PostgreSQL. The system integrated functions for patient registration, operating room availability, surgical history, automatic reminders, and surgical statistics, providing a clear, real-time view of the surgical unit. Validation included interviews and surveys of healthcare staff, whose results highlight reduced errors, ease of use, and improved coordination of roles. Compared to manual methods, the system demonstrated greater efficiency and transparency, with an improvement of over 70% in operating times, establishing itself as an innovative and scalable tool for hospital management. The implementation of the system promotes efficient management, capable of digitizing key processes and improving surgical efficiency in resource limited settings.
Palabras clave
Gestión de Quirófanos, Sistemas Hospitalarios, Trazabilidad Quirúrgica, ORMS