TVZ105 Health Data and Information

4 ECTS - 2-2 Duration (T+A)- 1. Semester- 3 National Credit

Information

Unit ABDİ SÜTCÜ HEALTH SERVICES VOCATIONAL SCHOOL
MEDICAL DATA PROCESSING TECHNICIAN PR.
Code TVZ105
Name Health Data and Information
Term 2025-2026 Academic Year
Semester 1. Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ŞULE SULTAN MENZİLETOĞLU YILDIZ
Course Instructor (Güz) (A Group) ()


Course Goal / Objective

This course introduces the fundamental concepts and applications of the field of health data and information management.

Course Content

This course introduces the fundamental concepts and practices of health data and information management. Students will learn about types of health data, electronic health records, data standards, and health information systems, and will gain hands-on experience with data collection, analysis, visualization, and reporting processes. They will also discuss the responsible use of health data, considering ethical, privacy, and data security issues.

Course Precondition

none

Resources

Lecture notes given by the instructor

Notes

Lecture notes given by the instructor


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Recognize the scope of health data and explain its importance.
LO02 Classifies different types of health data.
LO03 Explains the functions and data usage of EHR systems and can use PHRs and support personal health decisions.
LO04 Be able to recognize health information systems and explain their functioning and explain data collection methods and apply examples.
LO05 Evaluate data quality and analyze its reliability.
LO06 Explain the ICD-10 coding system and make simple applications.
LO07 Can explain the HL7 standard and exemplify data transmission and can explain the FHIR standard and know its use in data sharing.
LO08 Can visualize health data and apply basic analysis techniques.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Defines the concept of health informatics. 5
PLO02 Bilgi - Kuramsal, Olgusal Explains the types and sources of health data.
PLO03 Belirsiz Analyzes the processing, storage and sharing of health data
PLO04 Belirsiz Summarizes the structure and function of health information systems. 5
PLO05 Belirsiz Evaluates the effects of digitalization in healthcare.


Week Plan

Week Topic Preparation Methods
1 Definition and Importance of Health Data Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Types of Health Data Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Electronic Health Records Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Personal Health Records and Decision Support Systems Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Health Information Systems Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Data Collection Methods Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Data Quality and Integrity Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Reading and reviewing source lecture notes and lecture presentations Ölçme Yöntemleri:
Yazılı Sınav
9 Coding Systems Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Terminology Management Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 Health Data Standards Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 FHIR Protocol and Interoperability Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Data Integration, basic data analysis Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Data reporting and visualization Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Ethics, Privacy and Data Security Reading source lecture notes and lecture presentations Öğretim Yöntemleri:
Anlatım, Soru-Cevap
16 Term Exams Reading and reviewing source lecture notes and lecture presentations Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading and reviewing source lecture notes and lecture presentations Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 24 24
Total Workload (Hour) 90
Total Workload / 25 (h) 3,60
ECTS 4 ECTS

Update Time: 21.08.2025 04:18