Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
4ANS002Innovation and Technology in Health2+0+02305.11.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Associate Degree
Department / Program First and Emergency Aid
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to introduce students to the role and importance of innovation and technology in the healthcare sector, and to provide them with knowledge and skills in areas such as health informatics, telemedicine, artificial intelligence, robotics, wearable technologies, medical imaging, and virtual and augmented reality. In addition, the course aims to raise awareness about innovation management in healthcare, future technological trends, and the impacts of these innovative approaches on patient care, along with their ethical and legal dimensions.
Course Content The course content covers the fundamental concepts of health technologies and innovation, health informatics and electronic health records, and the applications of telemedicine and telehealth, as well as the use of big data and data analytics. In addition, the applications of emerging technologies such as artificial intelligence and machine learning, robotics and automation, wearable technologies, and mobile health applications in the healthcare field will be examined. The course will also comprehensively address medical imaging, virtual and augmented reality, nanotechnology and biotechnology, health innovation management, and future technological trends.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Instructor M.Erdi BİLECEN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Health Informatics: Practical Guide for Healthcare and Information Technology Professionals – Robert E. Hoyt Sağlıkta Dijitalleşme ve Yapay Zeka Uygulamaları – Akademik Makaleler ve Raporlar

Course Category
Health %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 2 28
Hours for off-the-c.r.stud 14 2 28
Mid-terms 1 17 17
Final examination 1 17 17
Total Work Load   Number of ECTS Credits 3 90

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Defines health technologies, innovation, and related fundamental concepts, and explains the history and development of these technologies.
2 Evaluates electronic health records, health informatics, big data, and data analytics applications.
3 Analyzes the use of artificial intelligence, machine learning, robotics, and automation technologies in healthcare.
4 Explains digital health solutions such as wearable technologies, mobile health applications, and virtual and augmented reality.
5 Defines medical imaging, nanotechnology, biotechnology, and innovation management in healthcare; and analyzes future technological trends along with their ethical and legal dimensions.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction and Fundamental Concepts
2 Health Informatics and Electronic Health Records
3 Telemedicine and Telehealth Applications
4 Big Data and Data Analytics in Healthcare
5 Artificial Intelligence and Machine Learning
6 Robotics and Automation Technologies
7 Wearable Technologies and Mobile Health Applications
8 Midterm Exam
9 Medical Imaging Technologies
10 Virtual and Augmented Reality (VR & AR)
11 Technology in Emergency and Disaster Management
12 Nanotechnology and Biotechnology
13 Innovation Management in Healthcare
14 Future Trends and Ethical Issues
15 General Review

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
All 3 3 3 2 2 2 3
C1 3 3 2 2
C2 3 3 2 2 2 3
C3 3 3 3 2 2 2 3
C4 3 2 2 3
C5 3

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant