Clinical Decision Support Systems

Code:

OPT72

Acronym:

SADC

Keywords
Classification	Keyword
OFICIAL	Medicine

Instance: 2017/2018 - 1S

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

To understand the context of clinical decision support system, including their characteristics, requirements, components, evolution, success factors, and risks and challenges for health professionals.

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

Introduction to CDSS, requisites for a good decision support system, CDSS components, CDSS historical perspective, success factors, influence of CDSS in the attitude of health professionals, characterization of several systems, practical examples; evidence and decision in health; knowledge discovery in data and decision trees; CDSS heterogeneity and development of SADC as validation of diagnostic tests; mobile health; evaluation of CDSS.

Mandatory literature

Berner E. S. (Eds; ). Clinical Decision Support Systems: Theory and Practice (2nd edition). , New York, USA: Springer., 2007
Cimino, J. J.,& Shortliffe, E. H. (Eds) ; ). Biomedical Informatics: Computer Applications in Health Care and Biomedicine (3rd edition). , New York, USA: Springer-Verlag. , 2006

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%).