Clinical Decision Support Systems
Keywords |
Classification |
Keyword |
OFICIAL |
Medicine |
Instance: 2016/2017 - SP (of 19-09-2016 to 15-07-2017) ![Requerida a integração com o Moodle Ícone do Moodle](/fmup/pt/imagens/MoodleIcon)
Cycles of Study/Courses
Teaching language
Suitable for English-speaking students
Objectives
-
Learning outcomes and competences
Describe the requirements for an ideal decision support system;
Characterize the components of a Clinical Decision Support System (CDSS);
Explain how a CDSS works;
Explain how CDSS evolved in recent years;
Recognize the influence of CDSS in the attitudes of health professionals;
Use and characterize a CDSS.
Working method
Presencial
Program
Decision trees, Bayesian networks, what-if analyses, cost-benefit analyses. Requisites for a good decision support system, CDSS components, CDSS historical perspective, influence of CDSS in the attitude of health professionals, characterization of several systems, practical examples.
Mandatory literature
Cimino, J. J.,& Shortliffe, E. H. (Eds) ; ). Biomedical Informatics: Computer Applications in Health Care and Biomedicine (3rd edition). , New York, USA: Springer-Verlag. , 2006
Berner E. S. (Eds; ). Clinical Decision Support Systems: Theory and Practice (2nd edition). , New York, USA: Springer., 2007
Teaching methods and learning activities
Theoretical lectures (4h) and practical lessons (8h), with topic discussion, individual and group exercises, and hands-on training on medical scenarios.
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Designation |
Weight (%) |
Exame |
40,00 |
Participação presencial |
20,00 |
Trabalho escrito |
40,00 |
Total: |
100,00 |
Calculation formula of final grade
Evaluation will be based on individual and group assignments (40%), oral presentations (20%) and final exam (40%).