Clinical decision support systems

Entry requirements: Theory of systems, Data science, Graph theory, Synergetics, Algorithms, BPM.

Credits: 6

Semester: 3

Course: Elective

Language of the course: English

Objectives

Students will learn: Knowledge based DSS, Multi-Criteria Decision Support, Multiparticipant DSS, Decision Support Based on Process Mining.

Contents

The course provides a clear understanding of clinical decision support systems, methods, technologies and trends. The aim of this course is to survey the clinical decision support system (CDSS) field – covering both developed territory and emergent frontiers.

Format

Lectures and lab sessions.

Assessment

Examination.