Clinical Decision Support Systems

Code:

OPT72

Acronym:

SADC

Keywords
Classification	Keyword
OFICIAL	Medicine

Instance: 2016/2017 - SP (of 19-09-2016 to 15-07-2017)

Active?	Yes
Responsible unit:	Department of Community Medicine, Information and Health Decision Sciences
Course/CS Responsible:	Integrated Master in Medicine

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIMED	20	Mestrado Integrado em Medicina- Plano oficial 2013 (Reforma Curricular)	4	-	1,5	14	40,5

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%).