SCAM13026U  Companion Animal Neurology - Applied Clinical Neurology

Volume 2017/2018
Education

This course is a specialisation course at the Master of Companion Animal Clinical Science. The Master is a post graduate education targeted small animal veterinarians seeking Continual Professional Development (CPD).

Content

The purpose of this course module is to further develop the skills of the student within the discipline of veterinary neurology in companion animals.

The level of prior knowledge and skills within clinical neurology from both veterinary candidate level and the first part of the master-education will be developed in order to form a solid basic platform within clinical neurology. In theory and by practical exercises the participant can expect that professional skills and competences within the subject of clinical companion animal neurology is extended at an advanced basic level.

The participants’ basic knowledge, professional skills and competences within clinical neurology will be extended through theoretical seminars and video case based exercises.  The participants’ will be encouraged to define, identify and discuss veterinary methodology and paraclinical tools in systematised reflective clinical decision making in companion animal clinical neurology

Read more about the Master of Companion Animal Science.

Learning Outcome

Having completed the course, the student must be able to:

Knowledge

Having completed the course, the participant should be able to:

  • Define, identify and discuss veterinary methodology and paraclinical tools in systematised reflective clinical decision making in companion animal clinical practice – especially within clinically neurology.
  • Explain, reflect and demonstrate overview of systematic clinical approach to the neurological patient at a basic specialized level.
  • Demonstrate critical reflection on the significance of applied neuro-anatomy in the clinical approach to the neurological patient. 
  • Demonstrate critical reflection with respect to further diagnostic planning in a specialty practice situation
  • Discuss the fundamental prerequisites for appropriate preparation of diagnostic protocols.
  • List appropriate differential diagnoses according to the neurological signs and the development of disease.

Skills

Within the area of clinical neurology the graduate must be able to

  • Apply the quantitative and qualitative methodologies such as performing and applying clinical neurological examination and assess CNS function and use basic diagnostic tools as well as master relevant skills to discriminate UMN-LMN function, CNS and PNS lesions. Analyze and reflect on collected data in order to discriminate between neurological and non-neurological conditions.
  • Interpret, assess and reflect on collected patient data in order to identify/localize a  neuro-anatomical 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.
  • Communicate effectively in writing and pass on results to relevant parties.

Competences

The graduate must be able to

  • Work independently, take responsibility for, predict, prognosticate and make decisions within clinical neurology at an advanced basic level.
  • Make ethical considerations regarding diagnostic methods and place these into perspective.
  • Educate owners of chronic neurological patients concerning long-term medical treatment, recovery and rehabilitation.
  • Independently evaluate and structure own learning processes and continuously obtain new knowledge at a specialty level within clinical neurology.
  • Use relevant scientific literature in the field of neurology.
  • Evaluate different patient types combining the above achieved skills.

Updated literature list will be posted 1 month prior to course start. The participant should have theoretical knowledge updated prior to participation.

Inclusion criteria for Master's Programme in Companion Animal Clinical Science: Degree in veterinary medicine and at least two years of relevant work experience.

SCAM13001U, SCAM13002U, SCAM13003U, SCAM13004U or one of the following certifications in Companion Animal Diseases:
• DVA in Small Animal Diseases, in Danish known as “certificeret fagdyrlæge i sygdomme hos hunde og katte”
• Swedish specialist in diseases of dogs and cats, in Swedish known as Steg 1
• Norwegian specialist in diseases of dogs and cats, in Norwegian known as Specialisering i veterinærmedisin, spesialitet smådyr
• Finnish specialist in diseases of dogs and cats, in Finnish known as Pieneläinsairauksien erikoiseläinlääkäri
A mixture of lectures, video demonstrations, e-learning, theoretical, practical exercises, workshops. Case-study work.
Credit
6 ECTS
Type of assessment
Portfolio
As part of the course the student will have to perform oral presentations and hand in a number of written exercises/cases and procedure protocols.
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
No external censorship
More than one internal examiner
Exam period

Exam dates will be published on the programme homepage.

Criteria for exam assesment

Having completed the course, the student must be able to:

 

Knowledge

Having completed the course, the participant should be able to:

  • Define, identify and discuss veterinary methodology and paraclinical tools in systematised reflective clinical decision making in companion animal clinical practice – especially within clinically neurology.
  • Explain, reflect and demonstrate overview of systematic clinical approach to the neurological patient at a basic specialized level.
  • Demonstrate critical reflection on the significance of applied neuro-anatomy in the clinical approach to the neurological patient. 
  • Demonstrate critical reflection with respect to further diagnostic planning in a specialty practice situation
  • Discuss the fundamental prerequisites for appropriate preparation of diagnostic protocols.
  • List appropriate differential diagnoses according to the neurological signs and the development of disease.

Skills

Within the area of clinical neurology the graduate must be able to

  • Apply the quantitative and qualitative methodologies such as performing and applying clinical neurological examination and assess CNS function and use basic diagnostic tools as well as master relevant skills to discriminate UMN-LMN function, CNS and PNS lesions. Analyze and reflect on collected data in order to discriminate between neurological and non-neurological conditions.
  • Interpret, assess and reflect on collected patient data in order to identify/localize a  neuro-anatomical 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.
  • Communicate effectively in writing and pass on results to relevant parties.

Competences

The graduate must be able to

  • Work independently, take responsibility for, predict, prognosticate and make decisions within clinical neurology at an advanced basic level.
  • Make ethical considerations regarding diagnostic methods and place these into perspective.
  • Educate owners of chronic neurological patients concerning long-term medical treatment, recovery and rehabilitation.
  • Independently evaluate and structure own learning processes and continuously obtain new knowledge at a specialty level within clinical neurology.
  • Use relevant scientific literature in the field of neurology.
  • Evaluate different patient types combining the above achieved skills.
  • Category
  • Hours
  • Lectures
  • 10
  • Theory exercises
  • 10
  • Practical exercises
  • 15
  • Preparation
  • 87
  • Exam
  • 40
  • Total
  • 162