| Course Description |
|
| Course Name |
: |
Operations Management in Health Systems |
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| Course Code |
: |
EM-566 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
First Cycle |
|
| Year of Study |
: |
1 |
|
| Course Semester |
: |
Spring (16 Weeks) |
|
| ECTS |
: |
6 |
|
| Name of Lecturer(s) |
: |
Asst.Prof.Dr. SEYFETTİN NOYAN OĞULATA
|
|
| Learning Outcomes of the Course |
: |
Uses digital data in Health businesses , learns how the data is used, identifies optima based on data, makes use of similar situations in different health institutions, create suitable solutions in different conditions
Becomes able to work in interdisciplinary teams and gains case-solving skills
Becomes able to develop management skills and organization skills
|
|
| Mode of Delivery |
: |
Face-to-Face |
|
| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
It is aimed to tackle the problems in health systems through establishing models using numerical data. |
|
| Course Contents |
: |
Health systems at national, regional and organizational problems of managerial decision making methods and applications of operations research and medical diagnosis and treatment |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Structure and characteristics of health care systems |
Lecture notes and resources |
Lecture notes and slides |
|
2 |
Methods of decision-making in health systems |
Lecture notes and resources |
Lecture notes and slides |
|
3 |
Methods of decision-making in health systems |
Lecture notes and resources |
Lecture notes and slides |
|
4 |
National challenges in health systems |
Lecture notes and resources |
Lecture notes and slides |
|
5 |
Regional issues in health systems |
Lecture notes and resources |
Lecture notes and slides |
|
6 |
Organizational issues in health systems |
Lecture notes and resources |
Lecture notes and slides |
|
7 |
Methods of medical diagnosis and decision-making practices in health systems |
Lecture notes and resources |
Lecture notes and slides |
|
8 |
midterm exam |
|
|
|
9 |
Quality management in health care systems |
Lecture notes and resources |
Lecture notes and slides |
|
10 |
Health systems performance management |
Lecture notes and resources |
Lecture notes and slides |
|
11 |
health systems of risk management |
Lecture notes and resources |
Lecture notes and slides |
|
12 |
health emergency management systems |
Lecture notes and resources |
Lecture notes and slides |
|
13 |
marketing management in health care systems |
Lecture notes and resources |
Lecture notes and slides |
|
14 |
logistics management of health care systems |
Lecture notes and resources |
Lecture notes and slides |
|
|
| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Understand, interpret and apply knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. |
4 |
|
2 |
Acquire comprehensive knowledge about methods and tools of industrial engineering and their limitations. |
4 |
|
3 |
Work in multi-disciplinary teams and take a leading role and responsibility. |
4 |
|
4 |
Identify, gather and use necessary information and data. |
5 |
|
5 |
Complete and apply the knowledge by using scarce and limited resources in a scientific way and integrate the knowledge into various disciplines. |
0 |
|
6 |
Keep up with the recent changes and applications in the field of Industrial Engineering and analyze these innovations when necessary. |
5 |
|
7 |
Work in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. |
5 |
|
8 |
Analyze Industrial Engineering problems, develop innovative methods to solve the problems. |
5 |
|
9 |
Have the ability to propose new and/or original ideas and methods in developing innovative solutions for designing systems, components or processes. |
5 |
|
10 |
Design and perform analytical modeling and experimental research and analyze/solve complex matters emerged in this process. |
5 |
|
11 |
Follow, study and learn new and developing applications of industrial engineering. |
5 |
|
12 |
Use a foreign language in verbal and written communication at least B2 level of European Language Portfolio. |
4 |
|
13 |
Present his/her research findings systematically and clearly in oral and written forms in national and international platforms. |
4 |
|
14 |
Understand social and environmental implications of engineering practice. |
5 |
|
15 |
Consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. |
5 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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