| Teaching Staff
|
|
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Elective |
| Prerequisites |
- |
| Recommended Optional Programme Component |
|
| Course Objectives |
Provides knowledge on the structure of health systems through the examination of underlying technologies. The course intends to improve the job opportunities for our graduates by examining the underlying infra structure of such systems along with the integration of hospitals, Ministery of Health and Social Security Administration by studying the Information System of our Hospital. |
| Course Content |
Examining the architectural and network structures of hospital information systems, Process and data qualities of health systems and coding systems,
Examining sample information systems as outpatient and inpatient sub-systems, Introductory information about data mining and artificial intelligence. |
| Learning Outcomes (LO) |
1. To become familiar with functional aspects of hospital Information Systems.
2. Knowledge of medical and managerial processes.
3. Knowledge of integration between hospitals and related state systems.
4. Knowledge the applications of advanced technology applications in health organizations.
5. Knowledge of E-health application in health systems |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Introduction about the scope and conduct of the course |
| 2. Week |
Information Technologies covering hardware, software and network systems |
| 3. Week |
DataBase Management Systems in hospitals |
| 4. Week |
Primary and secondary hospital processes |
| 5. Week |
Coding systems |
| 6. Week |
SKRS reference server |
| 7. Week |
General structure and fundamental subsystems of a Hospital Information System |
| 8. Week |
Midterm |
| 9. Week |
Examples of modules in medical subsystem of the information system. |
| 10. Week |
Examples of modules in manegerial subsystem of the information system |
| 11. Week |
PACS |
| 12. Week |
Managerial reports |
| 13. Week |
Artificial Intelligence application |
| 14. Week |
Data Mining |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
40 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
|
| Practice (%) |
|
| Labs (%) |
|
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
60 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
|
| Work Placement(s) |
|
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| | PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 | PQ13 | PQ14 | LO1 | 4 | 5 | 2 | 3 | 4 | 3 | 5 | 5 | 3 | 5 | 2 | 2 | 2 | 2 | LO2 | 3 | 5 | 2 | 4 | 3 | 3 | 5 | 5 | 3 | 5 | 2 | 3 | 2 | 3 | LO3 | 4 | 5 | 2 | 3 | 3 | 3 | 5 | 5 | 2 | 5 | 2 | 3 | 2 | 2 | LO4 | 4 | 5 | 2 | 4 | 4 | 3 | 5 | 5 | 2 | 5 | 2 | 3 | 2 | 2 | LO5 | 3 | 5 | 2 | 3 | 3 | 3 | 5 | 5 | 2 | 5 | 2 | 3 | 2 | 2 |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |