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| HEM3053 | Informatics in Nursing | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of NURSING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi İlknur BUÇAN KIRKBİR | | Co-Lecturer | Lecturer İlknur BUÇAN KIRKBİR | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to enable nursing students to gain knowledge and skills on data processing, storage, sharing and management, and to gain knowledge and equipment related to nursing informatics and health informatics. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Knows the concepts of informatics in nursing and health and can make detailed explanations on the subject. | 5,8,11 | 1, | | LO - 2 : | Gain knowledge of the importance of common language in nursing and nursing classification systems. | 5,8,11 | 1, | | LO - 3 : | Understands the importance of nursing informatics and gains the ability to integrate current developments into their professional practices. | 5,8,11 | 1, | | LO - 4 : | Has knowledge of artificial intelligence, decision support systems, machine learning and has a good grasp of the fields of use in health | 5,8,11 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Data, information, Data mining
Health Informatics
What is Nursing Informatics?
Who is an IT Nurse?
Nursing Classification systems
Health Information Systems
Artificial intelligence and Machine Learning
KKDS and its Use in Nursing
IOT-Telemedicine-Telenursing
E-health/Mobile Health
Nursing Informatics Studies in the World and in Turkey
The Future of Nursing Informatics |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Meeting and introducing the course | | | Week 2 | Data, knowledge, information, data mining | | | Week 3 | Medical Informatics | | | Week 4 | Nursing Informatics
| | | Week 5 | Nursing Classification systems_1 | | | Week 6 | Nursing Classification systems_1
| | | Week 7 | Health Information Systems_1 | | | Week 8 | Health Information Systems_2 | | | Week 9 | Midterm exam | | | Week 10 | Clinical information systems | | | Week 11 | Clinical Decision Support Systems and Use in Nursing | | | Week 12 | Telemedicine | | | Week 13 | Artificial Intelligence Algorithms and Machine Learning | | | Week 14 | Artificial intelligence in home healthcare | | | Week 15 | Genel Takrar | | | Week 16 | Final exam | | | |
| 1 | Hannah, K. J., Hussey, P., Kennedy, M. A., & Ball, M. J. (Eds.). (2014). Introduction to nursing informatics. springer. | | | |
| 1 | http://hembilder.org/hemsirelikte-bilisim-sunumlari-2/ | | | 2 | Mendi B(2016). Sağlık Bilişimi ve Güncel Uygulamalar | | | 3 | KIRKBİR, İ. B., & Tuğba, K. U. R. T. Hemşirelik Bilişimi ve Karar Verme Sürecinde Klinik Karar Destek Sistemlerinin Önemi. Hemşirelik Bilimi Dergisi, 3(3), 28-32. | | | 4 | Toygar, Ş. A. (2018). E-sağlık uygulamaları. Yasama Dergisi, (37), 101-123. | | | 5 | Gürsakal N( 2018). Makine Öğrenmesi | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 20/11/2024 | 1 | 50 | | End-of-term exam | 16 | 14/01/2025 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 2 | 14 | 28 | | Sınıf dışı çalışma | 2 | 14 | 28 | | Arasınav için hazırlık | 7 | 2 | 14 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 7 | 2 | 14 | | Dönem sonu sınavı | 1 | 1 | 1 | | Diğer 1 | 2 | 6 | 12 | | Total work load | | | 98 |
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