ISLA Santarém 512

Project II

• ApresentaçãoPresentation

    
• ProgramaProgramme

  1. Health Data Management. 1.1 Stages of data management (collection, storage, processing). 1.2 Analysing the life cycle of data from its origin to its use for decision-making. 2. Data processing and analysis. 2.1 Data processing and handling practice, including processing, organising and transforming data. 2.2 Apply data analysis techniques to extract relevant insights and patterns, using statistical and data visualisation tools. 3. Presentation of Results and Conclusions. 3.1 Developing skills in the clear and objective presentation of data and conclusions, using different formats such as reports, presentations and dashboards. 3.2 Drawing up critical analyses and interpretations of the indicators relevant to the process observed, highlighting strengths and possible points for improvement.
• ObjectivosObjectives

  This curricular unit offers students the opportunity to integrate and apply the theoretical knowledge acquired throughout the course in simulated professional environments. Students will have the opportunity to develop essential practical skills in the area of health data and technology management. The following learning objectives are proposed: O1. Apply the principles of data and technology management in healthcare in simulated practice applied to professional contexts.  O2. Develop practical skills in the use of health information systems and health data management. O3. Demonstrate the ability to select the appropriate techniques and methods for carrying out the proposed activities.  O4. Draw up reports following the rules of scientific writing.  
• BibliografiaBibliography

  Joel Schneider, W., Elizabeth O. Lichtenberger, Nancy Mather, and Nadeen L. Kaufman. 2018. Essentials of Assessment Report Writing. John Wiley & Sons. Muller, M. J. (2019). Healthcare Analytics Made Simple: Techniques in Healthcare Computing Using Machine Learning and Python. Apress. Nunes, T., Mavridis, N., & Iliadis, L. (2019). Big Data Analytics in Healthcare: Concepts, Methodologies, Tools, and Applications. Springer. Jorge, Maria Salete Bessa, Thereza Maria Magalhães Moreira, Adriano Rodrigues de Souza, and Damião Maroto Gomes Júnior. 2023. Os labirintos da gestão, práticas, modelos de protocolo e financiamento em saúde. Amplla Editora.
• MetodologiaMethodology

  The project will be face-to-face, using the following methodologies: MET 1. Active methodologies: observation of data collection and processing processes in a health context.  MET 2. Reading the recommended bibliography. This will serve as a basis for writing the final project work.  MET 3. Tutorial guidance during the project period.
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  8
• NaturezaNature

  Optional
• EstágioInternship

  Sim
• AvaliaçãoEvaluation

  Avaliação Curricular (contínua e presencial):
  Esta modalidade de avaliação é constituída por:
  AVAL 1. Participação ativa na realização das atividades propostas no trabalho de projeto. AVAL 2. Redação do relatório de projeto.
  A classificação final é calculada através da fórmula Classificação Final = 0.4*A1+0.6*A2. O estudante é aprovado se obtiver classificação igual ou superior a 9.5 valores em 20.
  Avaliação Final (A) (presencial em qualquer época de avaliação): O estudante apresenta o relatório de projeto (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9.5 valores em 20.