| Course Type | Elective Course |
|---|
| Course Level | Medical Diploma |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 2 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Information, informatics, health informatics
- Electronic health records
- Disease classification and coding systems
- The importance of big data analysis and information management in the health sector
- Tele-health applications in Turkey, the concept of mobility
- The use of expert systems/decision support systems in health services,
- The importance of human computer interaction in medical informatics,
- Gaining information about emerging technologies in the field of health (medical 3D printing, virtual reality (VR) applications in medicine and wearable technologies, etc.)
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
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| Recommended Optional Programme Components | |
|---|
| Course Description | Health sciences and medicine are the most intensively used areas of information and technology. Medical informatics course aims to use information technologies to store and analyze data and information produced in the field of medicine and to draw new results. Medical informatics is a discipline that deals with the processing and management of health-related data and information with computers and other current technologies, it deals with information rather than hardware. In this respect, it aims to provide medical students with the necessary technical skills and theoretical knowledge in their fields. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Information, Informatics, Basic Concepts of Health Informatics |
|
2nd Week |
Authorization, Security and Privacy in e-Health |
|
3rd Week |
Sources of Clinical Data and Types of Data in Medicine |
|
4th Week |
Classification and Coding Systems of Medical Data |
|
5th Week |
Data Mining and Artificial Intelligence in Health (AI) |
|
6th Week |
Telehealth, Internet of Things (IO), Wearable Technologies |
|
7th Week |
Midterm Exam |
|
8th Week |
Expert Systems/Decision Support Systems |
|
9th Week |
Mobility and Home Care Services Technologies |
|
10th Week |
Visual Informatics and Application Areas |
|
11th Week |
Medical Database Design and Applications, Big Data |
|
12th Week |
Electronic Health Records |
|
13th Week |
Emerging Technologies in Health (Medical 3D Printing and Virtual Reality (VR) Applications in Medicine) |
|
14th Week |
Final Exam |
|
| Recommended or Required Reading | Hersh, W. R., & Hoyt, R. E. (2018). Health Informatics: Practical Guide Seventh Edition |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Problem Solving
- Project
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
25 |
| Assignment |
1 |
15 |
| Quiz |
1 |
15 |
| Project |
1 |
15 |
| Total(%) |
|
70 |
| Contribution of In-term Studies to Overall Grade(%) |
|
70 |
| Contribution of Final Examination to Overall Grade(%) |
|
30 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
|
|
|
| Preparation for Quiz |
|
|
|
| Individual or group work |
|
|
|
| Preparation for Final exam |
|
|
|
| Course hours |
|
|
|
| Preparation for Midterm exam |
|
|
|
| Laboratory (including preparation) |
|
|
|
| Final exam |
|
|
|
| Homework |
|
|
|
| Total Work Load | 0 |
| Total Work Load / 30 (h) | 0 |
| ECTS Credit of the Course | 2 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
