Course Information

Course Information
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
Course Coordinator
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
Lesson Plan (Weekly Topics)
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 Midterm exam 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)
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
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.
Relations with Education Attainment Program Course Competencies
Program Requirements
PY1
PY2
PY3
PY4
PY5
PY6
PY7
PY8
PY9
PY10
PY11
PY12
PY13
PY14
PY15
Evaluation Method
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
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 1 3 3
Final 1 4 4
Total Workload 153
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 6.0