NURSING INFORMATICS AND CLASSIFICATION SYSTEMS

NRG513

Course Code: NRG513
Semester: -
Theory+Practice: 3 + 0
ECTS: 5

Course Type

Elective Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Will be able to learn the basic concepts of Informatics
Will be able to have information about information systems used in health and nursing
Will be able to obtain experience on the use of clinical information systems
Will be able to maintain Information security and privacy while using information systems

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

There is no recommended optional programme component for this course.

Course Description

Nursing database sample and elements, classification systems and nomenclatures in nursing and healthcare, terminologies and standardization of data, coding methods, entering the clinical record/documentation, ensuring the privacy and assurance in electronic data, problems/challenges related to knowledge/information management in healthcare setting, current/available knowledge technologies and human-technology interactions.

Course Contents

WEEK	TOPICS
1^st Week	Introduction
2^nd Week	Basic Concepts of Informatics (Informatics, Data, Data Mining, Big data, Information vb.)
3^rd Week	Informatics for Health, Medicine and Nursing (Tele-health, Tele-medicine, Tele-nursing)
4^th Week	Information Technology and Hospital / Clinical Information Systems
5^th Week	National Health Information Systems (Health-net)
6^th Week	Nursing Classification Systems
7^th Week	Nursing Information Systems and Applications,Desicion Support Systems
8^th Week	Midterm
9^th Week	Information Safety and Privacy
10^th Week	Clinical Practice (Analysis of Hospital Information Systems)
11^th Week	Clinical Practice (Analysis of Hospital Information Systems)
12^th Week	Seminar Presentations
13^th Week	Seminar Presentations
14^th Week	Getting on the course evaluations

Recommended or Required Reading

1.Dochterman, J. M., Bulechek, G. M. (2004). Nursing Interventions Classification (NIC) (4th ed). United States of America: Mosby.
2.Fortier, P., Michel, H., Sarangarajan, B., Dluhy, N., Oneill, E. (2005). A Computerized Decision Support Aid for Critical Care Novice Nursing, Proceedings of the 38th Hawaii International Conference on System Sciences. Erişim:10 Haziran 2011, http://www.ece.umassd.edu/Faculty/hmichel/publications/
3.French, S. Turoff, M. (2007). Decision support systems [Karar Destek Sistemleri], Communications of the Association for Computing Machinery, 50(3), 39-40.
4.Hebda TL, Czar P. (2008) Handbook of Informatics for Nurses & Health Care Professionals, Fourth Edition, Pearson: USA.
5.McGonigle D, Mastrian GK. (2011) Nursing Informatics And The Foundation of Knowledge, Canada: Jones and Barlett Learning International.

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Presentation
Report Preparation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	1	30
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	0	0	0
Preparation for Quiz	14	2	28
Individual or group work	14	3	42
Preparation for Final exam	0	0	0
Course hours	14	3	42
Preparation for Midterm exam	0	0	0
Laboratory (including preparation)	0	0	0
Final exam	1	3	3
Homework	3	10	30
Total Work Load			145
Total Work Load / 30 (h)			4.83
ECTS Credit of the Course			5

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4
K1
K2
K3
K4
K5
K6	X	X	X
K7
K8
K9
K10				X
K11
K12