Presenters: Kathy Boutis, Hospital for Sick Children, University of Toronto, Canada
Martin Pusic, Boston Children’s Hospital, Harvard University, USA
Date: 1 December 2020
Time:
1st presentation:  1300 hrs (GMT) / 8:00 AM EST
2nd presentation: 1730 hrs (GMT) / 12:30 PM EST

Summary: Medical image interpretation errors are common. Fortunately, authentic images from patients with verified diagnoses can be collected with digital technology into computer libraries, and deliberate practice of image interpretation to a performance-based competency standard is possible using globally accessible electronic platforms. However, the best practices for learning and assessment from these platforms are only beginning to emerge.

Learning Objectives:
1. Discuss image set collection and curation in service of defined educational goals
2. Compare and contrast different on-line learning models that teach image interpretation
3. List candidate education metrics for demonstrating visual diagnostic expertise
4. Discuss methods for deriving competency setting standards

Anticipated Outcomes:
Participants will be able to implement the methods discussed in this session to create and present images in a format that allows deliberate practice of cases to an evidence-based performance standard.

Target Audience: Educators who teach and measure competency of medical image interpretation skills in post-graduate trainees and health care professions.

1300 hrs (GMT) Presentation – Please register here

1730 hrs (GMT) Presentation – Please register here