STATISTICS AND REPORTING IN HEALTHCARE PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
SDP157	STATISTICS AND REPORTING IN HEALTHCARE	2	3	3	6

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	ASSOCIATE DEGREE, TYY: + 5.Level, EQF-LLL: 5.Level, QF-EHEA: Short Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Lecturer SİBEL SEKMAN
Instructor(s) of the Course Unit	Lecturer EBRU CENGİZ
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The aim of this course is to teach fundamental statistical methods used in the healthcare field and to develop students' skills in analyzing, interpreting, and reporting health data.
Contents of the Course Unit:	This course covers the definition and importance of statistics, fundamental concepts and data types, statistical series and graphs, parametric and non-parametric measures of central tendency and variability, statistical estimation and hypothesis testing, indices, sampling, discrete random variables and their distributions, time series, statistical methods specific to the health field, and statistical reporting in healthcare.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Can explain the basic concepts of statistics.
Can analyze health data using appropriate statistical methods.
Can illustrate statistical data with the help of graphs.
Can interpret basic statistical measurements.
Can explain the logic of statistical estimation and hypothesis testing.
Can prepare statistical reports for the health field.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Written-Visual resources	Course Content and Subject Explanation, Course Introduction, Definition of Statistics, Scientific Importance of Statistics	Lecture, Question-Answer
2	Research-Assignment	Basic Concepts of Statistics, Statistical Data	Lecture, Question-Answer, Review of the previous week
3	Literature review	Statistical Series	Lecture, Question-Answer
4	Written-Visual resources	Graphs	Lecture, Question-Answer, Review of the previous week
5	Research-Assignment	Parametric Measures of Central Tendency, Arithmetic and Geometric Means	Lecture, Question-Answer
6	Literature review	Non-Parametric Measures of Central Tendency	Lecture, Question-Answer, Review of the previous week
7	Written-Visual resources	Parametric Measures of Variability	Lecture, Question-Answer
8	Research-Assignment	Non-Parametric Measures of Variability	Lecture, Question-Answer, Review of the previous week
9	Literature review	Measures of Shape, Statistical Estimation and Hypothesis Testing	Lecture, Question-Answer
10	-	MID-TERM EXAM	-
11	Written-Visual resources	Indices and Sampling	Lecture, Question-Answer, Review of the previous week
12	Research-Assignment	Discrete Random Variables and Their Distributions	Lecture, Question-Answer
13	Literature review	Time Series	Lecture, Question-Answer, Review of the previous week
14	Written-Visual resources	Statistical Methods Specific to the Health Field	Lecture, Question-Answer
15	Research-Assignment	Statistical Reporting in Healthcare	Lecture, Question-Answer, Review of the previous week
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Başar, A., Oktay, E. (2012). Uygulamalı İstatistik – I: Kısa Teorik Bilgiler ve Çözülmüş Problemler (6. baskı). Erzurum: EKEV Yayınları.
Serper, Ö. (2010). Uygulamalı İstatistik (6. baskı). Bursa: Ezgi Kitabevi.
Tekin, V. N. (2014). İstatistiğine Giriş: Kavramlar-Konu Anlatımları-Çözümlü Problemler (3. baskı). Ankara: Seçkin Yayınları.
Bülbül, Ş. (2013). Tanımlayıcı İstatistik (3. baskı). İstanbul: Der Yayınları.
Erilli, N. A. (2017). İstatistik-1 (2. baskı). Ankara: Seçkin Yayınları.
Berenson, M. L., D. M. Levine (1996). Basic Business Statistics: Concepts and Applications (8. Baskı). New Jersey: Prentice Hall.
Armutlulu, İ. H. (1999). İşletme İstatistiğine Giriş. İstanbul: Alfa Yayınları. [8] Köksal, B. A. (1995). İstatistik Analiz Metodları (4. Baskı). İstanbul: Çağlayan Kitabevi.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method
Mid-Term Exam	1	50		Optical (Test) Exam
Final Exam	1	50		Optical (Test) Exam
TOTAL	2	100

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student will define the fundamental characteristics of the software, database components, and operating principles used in health information systems.					4
2	It accurately explains the fundamental concepts, building blocks, and terminology specific to the field of health informatics.				3

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It describes the technical concepts, data processing methods, and IT infrastructures used in managing health data.				3

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Within the framework of occupational health and safety, it conducts a technical risk assessment for data processing processes.					4
2	It regularly monitors the latest innovations and developments in the field of health information technology.						5
3	By monitoring technological innovations and current technical applications in their field, they can adapt them to their profession.						5
4	They evaluate developments in their field and effectively use health informatics tools and technological systems.					4

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It uses health information systems, database tools, and IT equipment used in data processing applications in an accurate, reliable, and efficient manner.					4
2	She/he develops appropriate solutions to problems that arise in her field.						5
3	They effectively express technical and professional knowledge related to their field through written and oral communication methods.					4
4	They follow scientific and technological developments in the field of health informatics by using a foreign language.				3

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Healthcare professionals, IT specialists, and technical teams share their professional knowledge in a clear and understandable manner.					4

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It complies with professional ethical rules, data security principles, and relevant legislation.					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	By embracing a lifelong learning mindset, it continuously pursues its development in the field of health informatics.				3
2	In the processes of recording, analyzing, and reporting health data, scientific accuracy, ethical principles, and cultural sensitivity are observed.					4

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/She fully fulfills the technical, administrative, and operational responsibilities required by his/her profession.						5

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	6	84
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	1	14	14
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	14	14
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	32	0	156