SCAM13014U Companion Animal Neurology - Advanced Diagnostic Approach to the Neurological Patient
The purpose of this course is to further develop the diagnostic skills of the participant when approaching the more complicated companion animal neurological patient. The participant should be able to combine knowledge from paraclinical disciplines such as diagnostic imaging, cytology and haematological evaluations (including serology) with the clinical findings at an advanced level. A wet-lab practice of cerebrospinal fluid tap and interpretation will be included. Conventional diagnostic imaging as well as advanced imaging modalities such as computer tomography (CT) and magnetic resonance imaging (MRI) - indication, interpretation and therapeutic consequences are addressed.
Cases of companion animal neurological patients and clinical work-up will be used to demonstrate the above described disciplines.
In theory and by practical exercises to extend the participants knowledge, professional skills and competences within the subject of clinical neurology at an advanced level.Having completed the course, the student must be able to:
Knowledge
• Define, identify and discuss veterinary methodology and
paraclinical tools in systematised reflective clinical decision
making in companion animal clinical practice area of clinical
neurology
• Explain, reflect about and demonstrate overview of complex
clinical decision making, patient therapy and management at an
advanced specialised level
• Explain, reflect about and demonstrate overview of
systematic clinical and diagnostic approach to the
neurological patient at an advanced level
• List, classify, and demonstrate critical reflection on
existing and new approaches to patient diagnosis, therapy,
management and client education in a specialty practice
situation
Skills
• Apply the quantitative and qualitative methodologies such
as performing and apply clinical diagnostic thinking as well as
master relevant practical diagnostic skills
• Interpret, assess and reflect on collected patient data in
order to identify the nature of the neurological lesion and cause
of neurological disease.
• Make clinical decisions, arrive at a diagnosis and consider
evidence based scientific approaches in order to plan and
administer further appropriate diagnostics, patient therapy and
management within the area of clinical neurology
• Collect and interpret CSF samples. Identify appropriate
image modality and demonstrate knowledge of common diagnostic
imaging hallmarks of the neurological patient.
• Understand the interpretation of CT, MRI and be able to
demonstrate critical reflection of pros and cons for CT and MRI and
identification of neurological patients suitable for advanced
neurological diagnostic procedures
• Continously seek out, reflect on and apply new evidence
based methods and solution models
• Communicate and discuss academic issues and solution models
with both peers and non-specialists at an advanced level and across
disciplines within companion animal practice
• Communicate effectively in writing and pass on results to
relevant parties
Competences
• Evaluate and manage companion animal diseases within
clinical neurology, which may necessitate novel solutions and
approaches identified from current medical literature or other
resources
• Work independently, take responsibility for, predict,
prognosticate and make decisions within the clinical neurology
• Collaborate constructively within and between
specialists/professionals and lay persons involved in companion
animal patient management
• Make ethic considerations regarding diagnostic methods and
therapies and place these into perspective
• Independently evaluate and structure own learning processes
and continuously obtain new knowledge at a specialty level within
clinical neurology
Updated literature list will be posted 1 month prior to course start. The participant should have theoretical knowledge prepared prior to participation.
SCAM13001U, SCAM13002U, SCAM13003U, SCAM13004U, SCAM13013U or
Recertified Danish "Fagdyrlæge i sygdomme hos hund og kat" and SCAM13013U
- Category
- Hours
- Exam
- 40
- Lectures
- 10
- Practical exercises
- 15
- Preparation
- 87
- Theory exercises
- 10
- Total
- 162
- Credit
- 6 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 must be able to:
Knowledge
• Define, identify and discuss veterinary methodology and
paraclinical tools in systematised reflective clinical decision
making in companion animal clinical practice area of clinical
neurology
• Explain, reflect about and demonstrate overview of complex
clinical decision making, patient therapy and management at an
advanced specialised level
• Explain, reflect about and demonstrate overview of
systematic clinical and diagnostic approach to the
neurological patient at an advanced level
• List, classify, and demonstrate critical reflection on
existing and new approaches to patient diagnosis, therapy,
management and client education in a specialty practice
situation
Skills
• Apply the quantitative and qualitative methodologies such
as performing and apply clinical diagnostic thinking as well as
master relevant practical diagnostic skills
• Interpret, assess and reflect on collected patient data in
order to identify the nature of the neurological lesion and cause
of neurological disease.
• Make clinical decisions, arrive at a diagnosis and consider
evidence based scientific approaches in order to plan and
administer further appropriate diagnostics, patient therapy and
management within the area of clinical neurology
• Collect and interpret CSF samples. Identify appropriate
image modality and demonstrate knowledge of common diagnostic
imaging hallmarks of the neurological patient.
• Understand the interpretation of CT, MRI and be able to
demonstrate critical reflection of pros and cons for CT and MRI and
identification of neurological patients suitable for advanced
neurological diagnostic procedures
• Continously seek out, reflect on and apply new evidence
based methods and solution models
• Communicate and discuss academic issues and solution models
with both peers and non-specialists at an advanced level and across
disciplines within companion animal practice
• Communicate effectively in writing and pass on results to
relevant parties
Competences
• Evaluate and manage companion animal diseases within
clinical neurology, which may necessitate novel solutions and
approaches identified from current medical literature or other
resources
• Work independently, take responsibility for, predict,
prognosticate and make decisions within the clinical neurology
• Collaborate constructively within and between
specialists/professionals and lay persons involved in companion
animal patient management
• Make ethic considerations regarding diagnostic methods and
therapies and place these into perspective
• Independently evaluate and structure own learning processes
and continuously obtain new knowledge at a specialty level within
clinical neurology
Course information
- Language
- English
- Course code
- SCAM13014U
- Credit
- 6 ECTS
- Level
- Part Time Master
- Duration
- Practical 5-days course at University Hospital For Companion Animals (Universitetshospitalet for Familiedyr)
- Placement
- Spring
- Schedule
- 11-15 April 2016
Monday - Friday full time - Course capacity
- 12
- Continuing and further education
- Price
- 31.500 DKK
- Study board
- Study Board of Veterinary Sciences
Contracting department
- Department of Veterinary Clinical and Animal Sciences
Course responsibles
- Mette Berendt (mbe@sund.ku.dk)