Rapor Tarihi: 11.04.2026 22:12
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Introduction to Health Data and Informatics | TVT1101 | Turkish | Compulsory | 1. Semester | 3 + 2 | 4.0 | 6.0 |
| Prerequisite Courses | |
| Course Level | Associate |
| Mode of delivery | Face to face |
| Course Coordinator | Öğr. Gör. MERVE ŞİMŞEK KAYMAK |
| Instructor(s) | Öğr. Gör. Seltap GÜLCÜ (Güz) |
| Goals | This course introduces the concept of health informatics, covering the types of health data, their collection methods, data management, information systems, and the impact of digitalization on healthcare. Topics such as electronic health records, health data analysis, data quality, and the role of information technologies in healthcare are covered at a fundamental level. |
| Course Content | - Defines the concept of health informatics. - Explains the types and sources of health data. - Analyzes the processes of processing, storing, and sharing health data. - Summarizes the structure and function of health information systems. - Evaluates the effects of digitalization in healthcare services. |
| # | Öğrenme Kazanımı |
| 1 | Explains the basic concepts related to health informatics. |
| 2 | Defines the types and sources of health data. |
| 3 | Explains the structure and functioning of health information systems. |
| 4 | Explains the processes of collecting, storing and sharing health data. |
| 5 | Explains data security and confidentiality principles in health data. |
| 6 | Evaluates the importance of digitalization in healthcare services. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction and history of health informatics | Lecture, Question and Answer, Presentation (Preparation), Other Activities |
| 2. Week | What is health data? Types and characteristics | Lecture, Question and Answer, Presentation (Preparation), Preparation, After Class Study |
| 3. Week | Health data collection methods | Lecture, Question and Answer, Presentation (Preparation), Preparation, After Class Study |
| 4. Week | Health data sources: patient records, device data | Lecture, Presentation (Preparation), Other Activities |
| 5. Week | Digitalization and filing of data | Lecture, Question and Answer, Presentation (Preparation) |
| 6. Week | Electronic health record systems | Lecture, Question and Answer, Presentation (Preparation) |
| 7. Week | Components and functioning of health information systems | Lecture, Question and Answer, Presentation (Preparation) |
| 8. Week | Health data standards and coding systems | Lecture, Question and Answer, Presentation (Preparation) |
| 9. Week | Data sharing and integration in healthcare | Lecture, Question and Answer, Presentation (Preparation) |
| 10. Week | Principles of data quality and accuracy | Lecture, Question and Answer, Presentation (Preparation) |
| 11. Week | Digital health applications and mobile health | Lecture, Question and Answer, Presentation (Preparation) |
| 12. Week | Digital transformation in healthcare | Lecture, Question and Answer, Presentation (Preparation) |
| 13. Week | Health informatics applications in Turkey | Lecture, Question and Answer, Presentation (Preparation) |
| 14. Week | General review and assessment | Lecture, Question and Answer, Presentation (Preparation) |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Knows the basic concepts and terminology specific to the healthcare field. | ✔ | |||||
| 2 | Explains the operation and basic management processes of health data systems. | ✔ | |||||
| 3 | Gains the ability to collect, classify, analyze, and report health data. | ✔ | |||||
| 4 | Performs effective data entry in electronic health records (EHR), HIS, etc. systems. | ✔ | |||||
| 5 | Uses basic software and hardware used in the healthcare field. | ✔ | |||||
| 6 | Applies open-source software and current information technologies in the healthcare field. | ✔ | |||||
| 7 | Uses medical terminology correctly and effectively. | ✔ | |||||
| 8 | Acts in accordance with privacy, security, and ethical principles in health data. | ✔ | |||||
| 9 | Calculates health statistics and interprets basic health indicators. | ✔ | |||||
| 10 | Has knowledge about the application areas of next-generation technologies such as artificial intelligence and machine learning in the healthcare field and contributes to their applications | ✔ | |||||
| 11 | Works in accordance with national and international regulations in the healthcare field. | ✔ | |||||
| 12 | Demonstrates aptitude for teamwork and establishes interdisciplinary communication | ✔ | |||||
| 13 | Utilizes problem-solving, decision-making, and critical thinking skills | ✔ | |||||
| 14 | Uses Turkish and a basic level of a foreign language in professional communication | ✔ | |||||
| 15 | Gains awareness of lifelong learning, professional development, and ethical responsibility. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
|---|---|---|---|---|---|---|
| PY1 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY2 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY3 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY5 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY6 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY7 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY8 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY9 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY10 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY11 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY12 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY13 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY14 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY15 | 3 | 3 | 3 | 3 | 3 | 3 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| Güz Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Öğr. Gör. Seltap GÜLCÜ | Vize | 40.00 | |
| Öğr. Gör. Seltap GÜLCÜ | Final | 60.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 2 | 28 |
|
Ders Dışı |
Homework | 14 | 4 | 56 |
| Preparation, After Class Study | 14 | 4 | 56 | |
| Research | 3 | 2 | 6 | |
|
Sınavlar |
Midterm | 1 | 3 | 3 |
| Final | 1 | 4 | 4 | |
| Total Workload | 153 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 6.0 | ||
