| Sumario: | In the Healthcare field, Business Intelligence and Data Mining techniques have been proven efficient mainly in the fields of contagious diseases and hospital productivity, however their usage is today still very limited, specially in specific fields like chronic disease management. This paper presents a methodology to develop Data Mining and Business Intelligence based on remote chronic patient management databases. This document also introduces a technical methodology to build a conceptual Data Model for Data Mining based on HL7-v3, with the objective of analyzing patient behavior, detecting triggers for future patient crisis, predicting patient behavior and contribute to improve management plans, resource usage optimization and higher Returns on Investment. Distinciones: Graduado como mejor estudiante de la promoción.
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