Mapeo de indicadores médicos a través de GNU-Health en la vigilancia epidemiológica
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Date
2026-04-05
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Universidad Tecnológica Centroamericana UNITEC
Abstract
El estudio en cuestión abordó la problemática de la actual ineficiencia en los sistemas de vigilancia epidemiológica en Honduras, enfocándose particularmente en el Centro Integral de Salud (CIS) del Níspero, Santa Bárbara. Se realizó un mapeo exhaustivo de indicadores médicos contenidos en los formatos e informes de reporte de la SESAL utilizados en el CIS para integrar y mejorar la generación de reportes estadísticos y epidemiológicos a la plataforma GNU-Health, con el fin de aportar a la toma de decisiones informadas en la salud pública. Uno de los mayores desafíos observados en dicho contexto fue la falta de monitoreo de enfermedades en tiempo real, motivo por el cual se propuso la presente investigación. La metodología incluyó un enfoque mixto, empleando tanto análisis cualitativos de los formatos existentes y la calidad de los indicadores médicos contenidos en ellos, así como análisis cuantitativos para evaluar su integración. Los resultados principales indicaron una mejora significativa en la recopilación y procesamiento de los datos de salud, facilitando una respuesta más eficiente a las necesidades epidemiológicas del área. Las conclusiones de la investigación destacaron la efectividad del uso de GNU-Health en relación con la mejora de la atención primaria y su contribución a la vigilancia epidemiológica de manera integral. La implementación del sistema propuesto prometió mejorar la calidad del monitoreo de enfermedades y fortaleció las capacidades locales para la gestión de la salud pública.
The study in question addressed the problem of current inefficiencies in epidemiological surveillance systems in Honduras, focusing particularly on the Integral Health Center (CIS) in Nispero, Santa Bárbara. An exhaustive mapping of medical indicators contained in the SESAL report formats and reports used at the CIS was conducted to integrate and enhance the generation of statistical and epidemiological reports to the GNU-Health platform, with the aim of contributing to informed public health decision-making. One of the greatest challenges observed in this context was the lack of real-time disease monitoring, which was why this research was proposed. The methodology included a mixed approach, using both qualitative analysis of existing formats and the quality of the medical indicators contained in them, as well as quantitative analysis to evaluate their integration. The main results indicated a significant improvement in the collection and processing of health data, facilitating a more efficient response to the epidemiological needs of the area. The research conclusions highlighted the effectiveness of using GNU-Health in relation to improve primary care and its contribution to comprehensive epidemiological surveillance. The implementation of the proposed system promised to enhance the quality of disease monitoring and strengthened local capacities for public health management.
The study in question addressed the problem of current inefficiencies in epidemiological surveillance systems in Honduras, focusing particularly on the Integral Health Center (CIS) in Nispero, Santa Bárbara. An exhaustive mapping of medical indicators contained in the SESAL report formats and reports used at the CIS was conducted to integrate and enhance the generation of statistical and epidemiological reports to the GNU-Health platform, with the aim of contributing to informed public health decision-making. One of the greatest challenges observed in this context was the lack of real-time disease monitoring, which was why this research was proposed. The methodology included a mixed approach, using both qualitative analysis of existing formats and the quality of the medical indicators contained in them, as well as quantitative analysis to evaluate their integration. The main results indicated a significant improvement in the collection and processing of health data, facilitating a more efficient response to the epidemiological needs of the area. The research conclusions highlighted the effectiveness of using GNU-Health in relation to improve primary care and its contribution to comprehensive epidemiological surveillance. The implementation of the proposed system promised to enhance the quality of disease monitoring and strengthened local capacities for public health management.
Keywords
Informática médica, Salud pública, Vigilancia epidemiológica