SCAM13018U Veterinary Clinical Pathology - Clinical Decision Making II
Having completed the course, the student should be able to:
Focus on level of evidence for diagnostic markers in veterinary
clinical pathology relevant for small animal clinical practice.
Understand and explain the relation between study design of
reported results and the level of evidence, incl. identification
and importance of specific sources and types of bias in clinical
studies.
Development of models based on several analytes:
Diagnostic models
Predictive models
Read more about the Master of Companion Animal Science.
Having completed the course, the student should be able to:
Knowledge
• To identify, categorise and rank the level of available
evidence on the use of relevant diagnostic markers
• The importance and impact of the most common biases in
reports of diagnostic accuracy
• The theory of using multiple markers and creating composite
scores as diagnostic tools
Skills
• Explain the relation between study design and possible bias
in reports of diagnostic accuracy of diagnostic markers
• Use correct and appropriate terminology
Competences
• Select the optimal marker in a given clinical situation
based on the prevalence of disease, costs of false negatives and
positives and available evidence for diagnostic performance.
• Collaborate and communicate within and between specialist
and non-specialist peers and lay persons involved in companion
animal patient management
Updated literature list will be posted 1 month prior to course start. The participant should have theoretical knowledge updated prior to participation.
SCAM13001U, SCAM13002U, SCAM13003U, SCAM13004U, SCAM13016U, SCAM13017U or
Recertified Danish "Fagdyrlæge i sygdomme hos hund og kat" and SCAM13016U, SCAM13017U
- Category
- Hours
- Exam
- 2
- Lectures
- 8
- Practical exercises
- 25
- Preparation
- 77
- Project work
- 25
- Theory exercises
- 25
- Total
- 162
- Credit
- 5 ECTS
- Type of assessment
- Written assignmentOral examinationAs a part of the course the student will have to hand in a number of written cases and a final webbased written report and present this at an oral examination.
- Exam registration requirements
- 80 % active participation in the on site course activities are required in order to obtain approved course certificate. Both, approved course certificate and a passed examination are required to pass the course. Students may attend examination without approval of course certificate.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
Criteria for exam assesment
Having completed the course, the student should be able to:
Knowledge
• To identify, categorise and rank the level of available
evidence on the use of relevant diagnostic markers
• The importance and impact of the most common biases in
reports of diagnostic accuracy
• The theory of using multiple markers and creating composite
scores as diagnostic tools
Skills
• Explain the relation between study design and possible bias
in reports of diagnostic accuracy of diagnostic markers
• Use correct and appropriate terminology
Competences
• Select the optimal marker in a given clinical situation
based on the prevalence of disease, costs of false negatives and
positives and available evidence for diagnostic performance.
• Collaborate and communicate within and between specialist
and non-specialist peers and lay persons involved in companion
animal patient management
Course information
- Language
- English
- Course code
- SCAM13018U
- Credit
- 5 ECTS
- Level
- Part Time Master
- Duration
- Practical 5-days course at University Hospital For Companion Animals (Universitetshospitalet for Familiedyr)
- Placement
- Autumn
- Schedule
- Monday - Friday full time
Fall 2016(every second year)
Week 46 in 2016 - 14.11.2016 – 18.11.2016
Exam week 3 2017 - 16.01.2017 - 20.01.2017 - Course capacity
- 20
- Continuing and further education
- Price
DKK 31.500
- Study board
- Study Board of Veterinary Sciences
Contracting department
- Department of Veterinary Clinical and Animal Sciences
Course responsibles
- Annemarie Thuri Kristensen (3-65786f4477797268326f7932686f)