Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/119007
Title: Solució de Business Intelligence per a l'estudi i anàlisi de la miocardiopatia hipertròfica en pacients d'una consulta de cardiopaties familiars
Author: Juan Tomàs, Laia
Tutor: Andrés Sanz, Humberto
Keywords: business intelligence
data warehouse
dashboard
ETL
familly cardiopathies
Issue Date: 15-Jun-2020
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The aim of this project is to design and implement a Business Intelligence (BI) solution for a Heart Disease Consultation at a third level hospital in Catalonia for the study and analysis of patients with Hypertrophic Cardiomyopathy (HCM). HCM is a disease characterized by abnormal thickening of the walls of the heart. Its origin is usually found in hereditary genetic mutations that are the cause of the great variability in the manifestations, evolution and prognosis. The project responds to the need to offer a solution to collect and analyse clinical and management data from patients with HCM. This solution includes the following activities: Compilation of the needs and requirements of the data model and the BI solution. Functional, logical and physical design of a data warehouse. Carrying out the Extract, Transform and Load (ETL) processes. Definition of indicators and measures panel and graphical displays in reports and dashboards. Design and implementation of a Business Intelligence solution for the study and analysis of patients with Hypertrophic Cardiomyopathy. This solution aims to be a support tool for the analysis of clinical practice and care of patients with HCM. Its main purpose is to facilitate decision-making processes and the development of scientific publications that may generate new knowledge.
Language: Catalan
URI: http://hdl.handle.net/10609/119007
Appears in Collections:Bachelor thesis, research projects, etc.

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