The present work, provides a method for the analysis of data in the way with which the medicines in a Peruvian hospital are consumed, in order to identify some nonobservable realities or characteristics which would produce shortage of supplies or insaTIsfaction of patients, serving as a tool for the decision making on the medicine supplying in the hospital. Here techniques of datamart are complemented, of extraction and load of data, as well as algorithms of mininig suchs K-means to classify the mentioned medicine consumptions. Finally there are graphs with some extracted results from the tests.

The present work, provides a method for the analysis of data in the way with which the medicines in a Peruvian hospital are consumed, in order to identify some nonobservable realities or characteristics which would produce shortage of supplies or insaTIsfaction of patients, serving as a tool for the decision making on the medicine supplying in the hospital. Here techniques of datamart are complemented, of extraction and load of data, as well as algorithms of mininig suchs K-means to classify the mentioned medicine consumptions. Finally there are graphs with some extracted results from the tests.

La Minería de Datos (Data Mining) es la búsqueda de patrones interesantes y de regularidades importantes en grandes bases de datos. La minería de datos inteligente utiliza métodos de aprendizaje automático para descubrir y enumerar patrones presentes en los datos. Una forma para describir los atributos de una entidad de una base de datos es utilizar algoritmos de segmentación o clasificación. El presente trabajo, propone un método para el análisis de datos, para evaluar la forma con la que se consumen los medicamentos en un hospital peruano, poder identificar algunas realidades o características no observables que producirían desabastecimiento o insatisfacción del paciente, y para que sirva como una herramienta en la toma de decisión sobre el abastecimiento de medicamentos en el hospital. En esta investigación, se utilizan técnicas para la Extracción, Transformación y Ca...