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GRADUATE INSTITUTE of HEALTH SCIENCES / DEPARTMENT of NURSING
Nursing-Doctorate
Course Catalog
http://www.ktu.edu.tr/sbf
Phone: +90 0462 +90 462 230 04 76
SABE
GRADUATE INSTITUTE of HEALTH SCIENCES / DEPARTMENT of NURSING / Nursing-Doctorate
Katalog Ana Sayfa
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HEM6008Nursing Care and Care Management3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of NURSING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Aysel ÖZSABAN
Co-LecturerAsssitant Professor Şule BIYIK BAYRAM
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
This course aims to development knowledge, skills and attitudes towards concept map, algorithm, care protocol, theory-based approach, clinical decision support systems, telehealth systems, artificial intelligence in the presentation of nursing care.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Uses concept maps in nursing care.1,5,9,121,3,5,
PO - 2 : Uses nursing care algorithms in care.1,3,5,
PO - 3 : Uses nursing care protocols in care.1,5,9,121,3,5,
PO - 4 : Uses the theories specific to the field of nursing in the planning and practice of care.1,5,9,121,3,5,
PO - 5 : Knows clinical decision support systems in nursing care.1,5,9,121,3,5,
PO - 6 : Knows tele-health and artificial intelligence applications in nursing care.1,5,9,121,3,5,
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), PO : Learning Outcome

 
Contents of the Course
Concept mapping process and application, application of care algorithms in nursing care, application of care protocols in nursing care, theory-based care planning and application, application of clinical decision support systems in nursing care, application of tele-health systems in nursing care, artificial intelligence and nursing care.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Use of concept maps in nursing care
 Week 2Creating and applying sample concept maps in nursing care
 Week 3Algorithm use in nursing care
 Week 4Selection and application of sample algorithms in nursing care
 Week 5Use of nursing care protocols
 Week 6Selection and application of exemplary care protocols in nursing care
 Week 7Care planning based on nursing theories
 Week 8Care delivery and assessment based on nursing theories
 Week 9Mid Exam Week
 Week 10Clinical decision support systems and their use in nursing care
 Week 11Clinical decision support systems and their use in nursing care
 Week 12Telehealth systems and nursing care
 Week 13Telehealth systems and its application in nursing care
 Week 14Artificial intelligence and nursing care
 Week 15Artificial intelligence application examples in nursing care
 Week 16Final Exam Week
 
Textbook / Material
1Aydın Ateş, N., Seçginli, S., Silahtaroğlu,G. 2022; Hemşirelik Bilişimi,ACR Tıp Kitabevi, ISBN: 9786050641868
2Özlü, C., Gedik, MA, Köylüoğlu, N., Yangal, HS., Özlü, A. 2021; Sağlıkta Yapay Zeka ve Uygulamaları,Akademisyen Kitabevi, ISBN: 978-625-7354-94-3
3Atasoy, I., Çetinkaya Özdemir, S. 2021; Hemşireliğin geleceği: inovasyon,Akademisyen Kitabevi, ISBN: 978-625-8037-70-8
 
Recommended Reading
1Kapucu, S., Kahveci R., 2017; Kanıta Dayalı Hemşirelik Uygulamaları,SAGE kitabevi, ISBN: 9786257399074
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 1 50
End-of-term exam 16 1 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 1 14 14
Arasınav için hazırlık 2 8 16
Arasınav 1 1 1
Dönem sonu sınavı için hazırlık 2 8 16
Dönem sonu sınavı 1 1 1
Total work load90