| 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 |
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|---|---|
| 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 PINAR GENÇ |
| Instructor(s) of the Course Unit | Lecturer EBRU CENGİZ |
| Course Prerequisite | No |
OBJECTIVES AND CONTENTS |
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|---|---|
| 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 |
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|---|---|---|---|
| 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 |
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|---|---|---|---|---|
| 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 |
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|---|---|---|---|---|---|---|---|
Theoretical |
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| Programme Learning Outcomes | Level of Contribution | ||||||
| 0 | 1 | 2 | 3 | 4 | 5 | ||
| 1 |
It explains the basic medical terminology, communication protocols, and health informatics concepts used in the field.
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| 2 |
It explains the operating principles of fundamental information technologies, video communication tools, sensor systems, and remote monitoring equipment that form the basis of the profession.
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KNOWLEDGE |
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|---|---|---|---|---|---|---|---|
Factual |
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| Programme Learning Outcomes | Level of Contribution | ||||||
| 0 | 1 | 2 | 3 | 4 | 5 | ||
| 1 |
This document explains the legislation regulating telehealth applications in Turkey, patient rights, data security, and legal requirements regarding the protection of personal data.
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| 2 |
This document describes the scope, application areas, and clinical workflows of teleconsulting, telemedicine, telecare, and remote patient monitoring models.
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| 3 |
It describes the functions, data types, information flow, and integration processes of electronic health record systems used in the field.
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SKILLS |
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|---|---|---|---|---|---|---|---|
Cognitive |
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| Programme Learning Outcomes | Level of Contribution | ||||||
| 0 | 1 | 2 | 3 | 4 | 5 | ||
| 1 |
It collects data from software and devices used in its field and analyzes key metrics.
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| 2 |
It describes technical problems that arise during remote patient monitoring.
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| 3 |
It securely transmits patient data during tele-consulting and tele-care processes.
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SKILLS |
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|---|---|---|---|---|---|---|---|
Practical |
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| Programme Learning Outcomes | Level of Contribution | ||||||
| 0 | 1 | 2 | 3 | 4 | 5 | ||
| 1 |
It applies basic triage, status assessment, and prioritization procedures for the services in its area according to relevant protocols.
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| 2 |
It ensures that data is entered into electronic health record systems used in the practice of the profession accurately, completely, and in accordance with standards.
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| 3 |
The student identifies potential occupational health and safety risks in work environments.
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OCCUPATIONAL |
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|---|---|---|---|---|---|---|---|
Autonomy & Responsibility |
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| Programme Learning Outcomes | Level of Contribution | ||||||
| 0 | 1 | 2 | 3 | 4 | 5 | ||
| 1 |
It offers solutions to increase the efficiency and workflow of the field and contributes to improvements in implementation processes.
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OCCUPATIONAL |
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|---|---|---|---|---|---|---|---|
Learning to Learn |
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| Programme Learning Outcomes | Level of Contribution | ||||||
| 0 | 1 | 2 | 3 | 4 | 5 | ||
| 1 |
By analyzing clinical and technical situations encountered in field applications, it determines appropriate procedural steps.
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OCCUPATIONAL |
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|---|---|---|---|---|---|---|---|
Communication & Social |
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| Programme Learning Outcomes | Level of Contribution | ||||||
| 0 | 1 | 2 | 3 | 4 | 5 | ||
| 1 |
They use a foreign language to keep up with developments in their field and communicate with colleagues.
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OCCUPATIONAL |
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|---|---|---|---|---|---|---|---|
Occupational and/or Vocational |
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| Programme Learning Outcomes | Level of Contribution | ||||||
| 0 | 1 | 2 | 3 | 4 | 5 | ||
| 1 |
By evaluating remote patient monitoring data, it informs healthcare professionals when necessary if there are risky situations.
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| 2 |
It offers solutions to increase the efficiency and workflow of the field and contributes to improvements in implementation processes.
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| 3 |
It identifies data transfer errors, connection problems, or user-caused issues occurring in the devices and software of its field, and applies appropriate solutions.
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| 4 |
In addition to checking the accuracy of measuring devices and digital monitoring tools used in professional services within their field, they also apply calibration or remeasurement processes when necessary.
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WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
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|---|---|---|---|
Workload for Learning & Teaching Activities |
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| 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 |
| Total Workload of the Course Unit | 156 | ||
| Workload (h) / 25.5 | 6,1 | ||
| ECTS Credits allocated for the Course Unit | 6,0 |