ECTS - Decision Support in Health Informatics

Decision Support in Health Informatics (SE546) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Decision Support in Health Informatics SE546 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to familiarize students with different types of healthcare data, assure the quality of the data and how to understand and communicate the information provided in support to effective decision making by various stakeholders of the healthcare system.
Course Learning Outcomes The students who succeeded in this course;
Course Content Choosing the correct information for different decisions and communicate its meanings to users; evaluation of statistical and other methods and tools; the difference between research databases and operational databases; techniques to effectively communicate quantitative healthcare data using tables and graphs; methods for choosing the right medium.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Information Systems Overview of Decision Support System Reading will be provided
2 Decision Theory and Decision Making Reading will be provided
3 Decision Support in Medical Informatics Course-Book. Chapter 1
4 Decision Analysis Course-Book. Chapter 2
5 Medical Decision Support Requirements and Areas Course-Book. Chapters 4-5
6 Medical Decision Support Requirements and Areas Course-Book. Chapter 6
7 Bioinformatics Problems Reading will be provided
8 Bioinformatics Problems Reading will be provided
9 Analysis Approaches for Bioinformatics Problems Reading will be provided
10 Analysis Approaches for Bioinformatics Problems Reading will be provided
11 Visualization Reading will be provided
12 Visualization Reading will be provided
13 Case Study-1 Course-Book. Chapters 8
14 Case Study-2 Reading will be provided
15 General Exams
16 General Exams

Sources

Course Book 1. Berner, E.E. (ed.) (2007). Clinical decision support systems: Theory and practice, New York, Springer, Heath Informatics Series.
Other Sources 2. Osteroff, J.A., Pifer, E.A., Teich, J.M., Sitting, D.F., & Jenders, R.A. (2005). Improving outcomes with clinical decision support: an implementer’s guide: Chicago, IL: HIMSS.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury - -
Toplam 0 0
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 0