Competencies and objectives

 

Course context for academic year 2024-25

The biosanitary context is one of the contexts where more heterogeneous data is continuously generated. The correct analysis and visualization of all this data is crucial not only for the correct application of treatments, but also for advancing in clinical research. On many occasions, data of a very diverse nature must be analyzed and displayed, such as computerized and handwritten medical records, medical images, data from telemetry devices, laboratories, etc. A previous step to be able to analyze all this information correctly is to have it integrated and unified in a data repository. The traditional solution to respond to this problem of integrated analysis of heterogeneous data is to build a Data Warehouse (AD).

The implementation of an AD is an expensive and delicate task that requires following a systematic process. This process includes specialized techniques for the design of the repository, for the modeling and treatment of the information that will be stored in the AD, and for its subsequent exploitation and visualization. Therefore, success in this area for an Information Technology (IT) professional depends directly on their ability not only to design the AD repository, but also to identify, collect, and present information about healthcare processes. involved and make it accessible to users who are not experts in the field of technology. In addition, for some years now, clinical data analysis applications have faced new challenges derived from the increase in size and type of new data sources, such as data from sensors, mobile devices, virtual assistants, wearables, Open Data. or Big Data. Therefore, in this subject all these new challenges of analysis and visualization derived from these heterogeneous data sources will be introduced.

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2024-25

Transversal Competences

  • CT1 : Demostrar capacidades informáticas e informacionales en el ámbito de la salud.
  • CT3 : Adquirir capacidad de análisis, síntesis y crítica.
  • CT4 : Adquirir capacidad de organización y planificación

 

General Competences

  • CG1 : Comprender y analizar los problemas reales relacionados con el ámbito sanitario, en los que la ingeniería biomédica puede ofrecer soluciones eficaces e innovadoras
  • CG3 : Diseñar, desarrollar e implantar productos y servicios originales relacionados con la Ingeniería Biomédica, teniendo en cuenta aspectos sociales, funcionales y económicos.
  • CG4 : Adaptarse a entornos sanitarios relacionados con la ingeniería, fomentando el trabajo en equipo, la creatividad, la capacidad crítica y el espíritu emprendedor.
  • CG5 : Analizar, evaluar e implementar tecnologías emergentes en el ámbito de la Ingeniería Biomédica.

 

Specific Competences

  • CE13 : Comprender los conceptos básicos de la Inteligencia de Negocio, que permita analizar y explotar datos integrados en entornos sanitarios, así como los distintos elementos, actores, y disciplinas involucradas.

 

Basic Competences

  • CB10 : That students possess the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
  • CB6 : Poseer y comprender conocimientos que aporten una base u oportunidad de ser originales en el desarrollo y/o aplicación de ideas, a menudo en un contexto de investigación
  • CB7 : That students know how to apply the knowledge acquired and their ability to solve problems in new or little-known environments within broader (or multidisciplinary) contexts related to their area of ¿¿study
  • CB8 : Que los estudiantes sean capaces de integrar conocimientos y enfrentarse a la complejidad de formular juicios a partir de una información que, siendo incompleta o limitada, incluya reflexiones sobre las responsabilidades sociales y éticas vinculadas a la aplicación de sus conocimientos y juicios
  • CB9 : Students are able to communicate their conclusions and the ultimate knowledge and rationale behind them to specialist and non-specialist audiences in a clear and unambiguous way.

 

 

 

Learning outcomes (Training objectives)

•    Conocer los conceptos básicos de la Inteligencia de Negocio y del análisis y explotación de datos integrados, así como los distintos elementos, actores, y disciplinas involucradas.
•    Comprender la importancia de las fuentes de datos heterogéneas en el análisis de la información médica tanto sanitaria como de gestión.
•    Aprender las técnicas para el diseño y explotación de Almacenes de Datos (Data Warehouses) como repositorio integrado de datos.
•    Aprender a especificar Indicadores Clave de Rendimiento (Key Performance lndicators, KPI) alineados con los objetivos analíticos en la Gestión Sanitaria.
•    Construir y navegar por cuadros de mando para la explotación y visualización de datos.
•    Introducir Big Data y su potencial analítico

 

 

Specific objectives stated by the academic staff for academic year 2024-25

Introduce the business processes and their exploitation possibilities from the perspective of the Business Intelligence and Analysis of Dades.

Learn about the basic concepts of Business Intelligence, which allows analyzing and exploiting integrated data in sanitary environments, along with the different elements, actors, and disciplines involved.

I will learn the techniques of designing and building applications of Intel·ligència de Negoci i dels Magatzems de Dades with an integrated data repository.

Learn to specify Key Performance Indicators (Key Performance Indicators, KPI) aligned with the analytical objectives in Health Management.

Know and apply the techniques of design and maintenance of a Magatzem de Dades and capture of information mitjançant processes d'Extracció/Transformació/Càrrega (ETL).

Build and navigate by command quads for the exploitation and visualization of data.

 

 

General

Code: 43561
Lecturer responsible:
Lavalle López, Ana
Credits ECTS: 3,00
Theoretical credits: 0,60
Practical credits: 0,60
Distance-base hours: 1,80

Departments involved

  • Dept: LANGUAGES AND COMPUTING SYSTEMS
    Area: LANGUAGES AND COMPUTING SYSTEMS
    Theoretical credits: 0,6
    Practical credits: 0,6
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught