Course Details

DECISION MAKING IN HEALTHCARE

IE524

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
3IE524DECISION MAKING IN HEALTHCARE3+0+037,5

Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program INDUSTRIAL ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course To provide students with the tools and techniques to make informed and data-driven decisions in healthcare systems.
To integrate industrial engineering methodologies with healthcare management to enhance the efficiency and effectiveness of healthcare operations.
To develop skills in problem-solving, critical thinking, and decision-making in the context of healthcare.
To expose students to the complexities of healthcare systems and the challenges of decision-making in uncertain environments.
Course Content This course explores the application of decision-making methods and tools in the healthcare industry. Topics include decision theory, optimization, healthcare systems analysis, and the application of quantitative methods to clinical and managerial decisions. Students will learn how to analyze healthcare problems, optimize resource allocation, and improve the quality of care using industrial engineering techniques.
Course Methods and Techniques The course will use a combination of lectures, case studies, group projects, and in-class discussions. Students will engage in solving real-world healthcare decision-making problems through the use of quantitative and qualitative tools. Participation in discussions and case analysis is encouraged to deepen learning.
Prerequisites and co-requisities None
Course Coordinator Associate Prof.Dr. Ramazan Ünlü ramazan.unlu@agu.edu.tr
Name of Lecturers Associate Prof.Dr. Ramazan Ünlü ramazan.unlu@agu.edu.tr
Assistants Research Assist.Dr. İSMET SÖYLEMEZ ismet.soylemez@agu.edu.tr
Work Placement(s) No

Recommended or Required Reading
Resources Operations Research for Healthcare by Margaret Brandeau, Francois Sainfort, and William Pierskalla
Shared on Canvas
Canvas
Canvas
Canvas

Course Category
Engineering %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı 42 % 60
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı 1 % 25
Ödev 3 % 15
Total
46
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Araştırma Ödevi 14 4 56
Yazılı Sınav 1 15 15
Grup Projesi 1 40 40
Ev Ödevi 3 5 15
Sınıf İçi Aktivitesi 14 3 42
Final Sınavı 1 15 15
Total Work Load   Number of ECTS Credits 7,5 183

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Explain the structure and operational dynamics of healthcare systems.
2 Apply decision-making models to optimize healthcare processes.
3 Analyze data and case studies to support evidence-based decision-making in healthcare.
4 Evaluate the impact of resource allocation decisions on healthcare outcomes
5 Design effective decision-making frameworks for healthcare challenges involving uncertainty.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to Decision Making in Healthcare - -
2 Overview of Healthcare Systems - -
3 Decision Theory and Healthcare Applications - -
4 Optimization Techniques in Healthcare
5 Resource Allocation in Healthcare
6 Midterm Review and Exam
7 Healthcare Case Study: Decision Analysis
8 Break
9 Data Analytics for Decision Making
10 Risk and Uncertainty in Healthcare Decisions
11 Optimization in Healthcare Planning
12 Progress Presentations
13 Decision Support Systems in Healthcare
14 Final Presentations
15 Final Review and Exam


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 5 5 5 5 5 5 5 5 5 5 5 5
C1 4 3 2 3 1 3 4 3 2 3 1 1
C2 4 4 4 4 2 3 3 3 3 3 2 2
C3 3 4 4 3 4 5 3 3 3 4 2 3
C4 3 4 5 3 5 5 3 2 4 4 3 4
C5 2 4 5 3 4 5 4 4 4 5 3 4

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77285&lang=en