Big data analytics en la gestión hospitalaria para el cumplimiento de indicadores de gobierno por resultados

Abstract

This work includes the development of a proposal focused on the implementation and good use of Big Data Analytics (BDA), in order to obtain better results in information processing and decision-making, taking into consideration the use of techniques of data analysis that provide a more descriptive visualization of the results for a better understanding and guide for decision-making, in addition to highlighting its usefulness for the presentation of results to government entities that request it. This project was applied in a public Level II General Hospital, for which an action plan was established for the execution of data analysis using the CRISP-DM methodology. In addition, the Extraction Transformation and Loading (ETL) process was carried out, to load variables and hospital management indicators in a Big Data Warehouse.