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Information
| Code | CHH506 |
| Name | Artificial Intelligence in Nursing |
| Term | 2024-2025 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SEVİLAY ERDEN |
Course Goal / Objective
Definition and history of artificial intelligence technology, artificial intelligence techniques, types and models of artificial intelligence, areas of use of artificial intelligence in health, examples of artificial intelligence in health services-I, examples of artificial intelligence in health services-II, examples of artificial intelligence in nursing, artificial intelligence and nurse robots, Roles and responsibilities of nurses in artificial intelligence applications, artificial intelligence and ethics in nursing, comparison of artificial intelligence and human intelligence, government policies and regulations in artificial intelligence, future of artificial intelligence
Course Content
Definition and history of artificial intelligence technology, artificial intelligence techniques, types and models of artificial intelligence, areas of use of artificial intelligence in health, examples of artificial intelligence in health services-I, examples of artificial intelligence in health services-II, examples of artificial intelligence in nursing, artificial intelligence and nurse robots, Roles and responsibilities of nurses in artificial intelligence applications, artificial intelligence and ethics in nursing, comparison of artificial intelligence and human intelligence, government policies and regulations in artificial intelligence, future of artificial intelligence
Course Precondition
Definition and history of artificial intelligence technology, artificial intelligence techniques, types and models of artificial intelligence, areas of use of artificial intelligence in health, examples of artificial intelligence in health services-I, examples of artificial intelligence in health services-II, examples of artificial intelligence in nursing, artificial intelligence and nurse robots, Roles and responsibilities of nurses in artificial intelligence applications, artificial intelligence and ethics in nursing, comparison of artificial intelligence and human intelligence, government policies and regulations in artificial intelligence, future of artificial intelligence
Resources
1. Bakım Kalitesini İyileştirmede İnovasyon. Editör. Aydın, Aydanur. Akademisyen Kitapevi, Ankara, Basım:1,Sayfa Sayısı:387-402, ISBN: 9786257496575, Türkçe (Ders Kitabı) 2021 2. Bacaksız, F. E., Yılmaz, M., Ezizi, K., & Alan, H. (2020). Sağlık Hizmetlerinde Robotları Yönetmek. Sağlık ve Hemşirelik Yönetimi Dergisi, 3(7), 458-465. 3. Aydın, Ş.E. (2017). Yapay zekâ teknolojisi (Artificial intelligence technology). Çukurova Üniversitesi İşletme ve Teknoloji Yönetimi Yüksek Lisans Programı Dönem Projesi, Adana. 4. Demirhan, A., Kılıç, Y. A., & İnan, G. (2010). Tıpta yapay zeka uygulamaları.(Artificial Intelligence Applications in Medicine. Yoğun Bakım Dergisi, 9(1), 31-41.
Notes
1. Bakım Kalitesini İyileştirmede İnovasyon. Editör. Aydın, Aydanur. Akademisyen Kitapevi, Ankara, Basım:1,Sayfa Sayısı:387-402, ISBN: 9786257496575, Türkçe (Ders Kitabı) 2021 2. Bacaksız, F. E., Yılmaz, M., Ezizi, K., & Alan, H. (2020). Sağlık Hizmetlerinde Robotları Yönetmek. Sağlık ve Hemşirelik Yönetimi Dergisi, 3(7), 458-465. 3. Aydın, Ş.E. (2017). Yapay zekâ teknolojisi (Artificial intelligence technology). Çukurova Üniversitesi İşletme ve Teknoloji Yönetimi Yüksek Lisans Programı Dönem Projesi, Adana. 4. Demirhan, A., Kılıç, Y. A., & İnan, G. (2010). Tıpta yapay zeka uygulamaları.(Artificial Intelligence Applications in Medicine. Yoğun Bakım Dergisi, 9(1), 31-41.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines artificial intelligence technology. |
| LO02 | xamines the basic concepts of artificial intelligence. |
| LO03 | nows the usage areas of artificial intelligence. |
| LO04 | Knows the roles and responsibilities of the nurse in artificial intelligence applications. |
| LO05 | Examines the advantages and disadvantages of artificial intelligence. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To know the role and functions of surgical nursing, | 1 |
| PLO02 | Bilgi - Kuramsal, Olgusal | To know the physiological and pathological processes of the body and the pathological processes of surgical diseases, | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Having up-to-date information on diseases that require surgical intervention, | 2 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Having the ability to analyze and interpret the information obtained, | 2 |
| PLO05 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Comprehensive planning and implementation of the perioperative care of a surgical patient, | 5 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Expertise level knowledge gained in the field of surgical nursing reflect care, | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Reflecting evidence-based practices to the care of surgical patients, | 2 |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Being a model for transferring innovative approaches in the care of surgical patients to colleagues and nursing students, | |
| PLO09 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Ability to work collaboratively within or between teams | 5 |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | To be able to improve their knowledge about surgical nursing by using up-to-date national and international sources, | 5 |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | Ability to conduct original scientific research in the field of surgical nursing, | 5 |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Using databases and other information sources, accessing outputs reporting effectively and systematically, | 1 |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | Being a pioneer in safe surgical practice, | 3 |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | To be able to use teaching skills that will respond to the educational needs of the surgical patient and caregiver family members. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction and introduction of the course | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 2 | Definition and history of artificial intelligence technology | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 3 | artificial intelligence techniques | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 4 | Types of artificial intelligence | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 5 | Artificial intelligence models in nursing | There is no prerequisite. | Öğretim Yöntemleri: Soru-Cevap |
| 6 | preparation week | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 7 | preparation week ıı | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 9 | Areas of use of artificial intelligence in health | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 10 | Artificial intelligence and nanotechnology | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 11 | Artificial intelligence and simulation applications | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 12 | Artificial intelligence and ethics in nursing | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 13 | Examples of artificial intelligence in healthcare services-I | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 14 | Examples of artificial intelligence in healthcare services-II | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 15 | Examples of artificial intelligence in healthcare services-III | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 17 | Term Exams | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 17 | 2 | 34 |
| Out of Class Study (Preliminary Work, Practice) | 15 | 2 | 30 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 20 | 40 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 20 | 20 |
| Final Exam | 2 | 10 | 20 |
| Total Workload (Hour) | 144 | ||
| Total Workload / 25 (h) | 5,76 | ||
| ECTS | 6 ECTS | ||