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ISLA Santarém 26684

Introduction to Health Informatics

Data and Technology Management in Health
  • ApresentaçãoPresentation
       
  • ProgramaProgramme
    1. Fundamental Concepts of Health Informatics. 2. Historical Evolution of Health Informatics. 3. Standards and Norms in Health Informatics (HL7, DICOM, etc.) 4. Telemedicine and Telehealth. 5. Mobile Applications in Health. 6. Cloud Computing in Health. 7. Artificial Intelligence in Health. 8. Big Data and Data Analysis in Health. 9. Evaluation of Health Information Systems and Technologies. 10. Future Trends and Innovations in Health Informatics.  
  • ObjectivosObjectives
    O1. Present the fundamental concepts and evolution of health informatics.  O2. Discuss the importance of standards and norms in health informatics.  O3. Present the fundamentals of telemedicine and telehealth. O4. Discuss the importance of new IT applications in health (mobile apps, AI, Big Data).  Competences: C1. Analyze, evaluate and select information systems and technologies to support health processes.  C2. Discuss trends and innovations in the field of health informatics.
  • BibliografiaBibliography
    Biedermann, Sue (2017). Introduction to Healthcare Informatics. AHIMA Press.  Russell, S., & Norvig, P. (2021). Artificial intelligence: a modern approach. Pearson.  Santos, J. P; Vigário, R. (cord.) (2022). Novas Tecnologias em Saúde. Principia. Santos, M. Y., & Ramos, I. (2020). BIG DATA - Concepts, Warehousing, And Analytics, Routledge.
  • MetodologiaMethodology
    Distance Synchronization: 1. Expository, interrogative, and interactive methods: Presentation/exposure of concepts using expository, interrogative, and interactive methods. All pedagogical support elements are available through the Moodle platform. Face-to-face: 2. Active methodologies: Practical application through exercises and classroom work. Use of AI-based tools (Machine Learning) for health data analysis.  Independent: 3. Reading of recommended bibliography. Discussion/resolution of practical cases that were not resolved during practical classes and others proposed by the teacher. The teacher provides feedback (Tutorial Guidance - OT) on the results obtained by the student in solving the proposed problems, either in person in the classroom or remotely in asynchronous mode through the Moodle platform.
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    4
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não
  • AvaliaçãoEvaluation

    Avaliação Curricular (contínua):
    Esta modalidade de avaliação é constituída por:
    A1. Portfólio de trabalhos/exercícios de aula. A2. Trabalho prático (relatório em grupo).
    A3. Teste final teórico/prático.
    A classificação final é calculada através da fórmula Classificação Final = 0,2*A1+0,4*A2 + 0,4 *A3. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
    Avaliação Final (A): O estudante realiza o exame completo (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
    Avaliação em Época de Recurso e Época Especial (A): O estudante realiza o exame completo (A=100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.