Behavioural Neurology Assessment – Short Form with TorCA Supplementation: Virtual Cognitive Assessment Beyond the MMSE and MoCA

The virtual MMSE and MoCA provide a basic assessment of cognitive function. In this webinar, we will demonstrate a more in-depth approach to virtual evaluation of cognitive function using the Behavioural Neurology Assessment (BNA-SF) and the Toronto Cognitive Assessment (TorCA). Both tests have been adopted as standards within the Toronto Dementia Research Alliance, and can be administered by health care professionals or trained assistants.

Full Webinar Details

For access to the webinar recording and presentation slides, please contact the Toronto Dementia Research Alliance (TDRA) at tdra@sunnybrook.ca or visit https://tdra.utoronto.ca/contact-us/.

Objectives

  • Administer the BNA-SF virtually
  • Supplement the BNA-SF with items from the TorCA for more in-depth cognitive assessment when required in selected cases
  • Discuss the limitations of virtual cognitive assessments using the BNA-SF and TorCA

Speaker

Morris Freedman MD FRCPC FAAN
Professor, Department of Medicine (Neurology), University of Toronto
Head, Division of Neurology, Baycrest
Medical Director, Cognition and Behaviour, Baycrest
Scientist, Rotman Research Institute, Baycrest

Accreditation:

College of Family Physicians of Canada Mainpro+ One-Credit-Per-Hour (Group Learning)
This one-credit-per-hour Group Learning program meets the certification criteria of the College of Family Physicians of Canada and has been certified by Continuing Professional Development, Faculty of Medicine, University of Toronto for up to 1 Mainpro+ credit.

Royal College of Physicians and Surgeons of Canada – Section 1
This event is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada, and approved by Continuing Professional Development, Faculty of Medicine, University of Toronto. You may claim up to a maximum of 1 hour (credits are automatically calculated).

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