Clinical Epidemiology

Description

Applies the principles of Epidemiology and Biostatistics in a very practical manner to improve clinical decision making. The course also provides an opportunity to develop research skills which are essential for investigating important clinical and population based health problems.

Availability

WebLearn GradSchool

  • Semester 1 - 2015

Learning Outcomes

1. Access evidence based information to inform clinical practice;

2. Understand the properties and evaluation of health outcomes at an individual and population level;

3. Understand the relationship between the natural history of disease and prognosis and the factors that influence the natural history of disease;

4. Apply concepts relating to the principles and practice of screening for early diagnosis of disease;

5. Apply concepts relating to the selection and interpretation of diagnostic tests;

6. Express evidence in terms of risk in ways useful to both clinicians and patients;

7. Apply the concepts of health social science to clinical practice and research;

8. Analyse variations in clinical practice and understand ways to reduce variations in clinical practice to improve health outcomes, including the use of clinical guidelines;

9. Identify and address relevant ethical issues when undertaking clinical research.

Content

The course content includes the following learning modules:
Module 1. Introduction to Evidence-Based Medicine
Module 2. Measurements of Health Outcomes
Module 3. Natural History
Module 4. Screening
Module 5. Diagnostic Tests
Module 6. Applying Measures of Effect to your Patient
Module 7. Health Social Science and Qualitative Measures
Module 8. Variations in Clinical Practice and Clinical Guidelines
Module 9. Ethical and legal Issues in Human Experimentation

Assessment Items

Written Assignment: Written Assignments (x3)

Contact Hours

Online Activity

Online 2 hour(s) per Week for Full Term

Self-Directed Learning

Self-Directed 8 hour(s) per Week for Full Term

Contact hours are an indication only.