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Artificial Intelligence
& Technology in CPD
Presented by:
David Topps
Faculty / Presenter
Faculty: David Topps
Relationships with financial sponsors:
• Grants / Research Support: none
• Speakers Bureau / Honoraria: none
• Consulting Fees: none
• Patents: none
• Other: I wish
Disclosure of Financial / In-Kind
Support
This program has received no external support
Learning Objectives
At the end of this session, participants will be able to:
1. Identify one opportunity where Artificial Intelligence
applications can enhance identification of performance
gaps of physicians.
2. Explain to a colleague how AI may enhance learning and
assessment activities for physicians in practice.
3. Discuss how AI applications may enhance the transition
to competency-based continuing professional
development.
Agenda
• Introduction to big data and AI examples (15)
• Shout-out on other examples (3)
• What concerns do you have? (6)
• Practical data collection – small groups (20)
• Report back: rapid fire (7)
• Nudge theory examples (5)
• Data  action – small groups (15+5)
• Roundup TIL (10)
Supplementary materials
To enhance the effectiveness of this workshop,
there will be:
• Additional references
• Case examples
• Data tools
• Opportunities to contribute
… at https://olab.ca/cbcme-big-data-and-ai/

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AI workshop slides

  • 1. Artificial Intelligence & Technology in CPD Presented by: David Topps
  • 2. Faculty / Presenter Faculty: David Topps Relationships with financial sponsors: • Grants / Research Support: none • Speakers Bureau / Honoraria: none • Consulting Fees: none • Patents: none • Other: I wish
  • 3. Disclosure of Financial / In-Kind Support This program has received no external support
  • 4. Learning Objectives At the end of this session, participants will be able to: 1. Identify one opportunity where Artificial Intelligence applications can enhance identification of performance gaps of physicians. 2. Explain to a colleague how AI may enhance learning and assessment activities for physicians in practice. 3. Discuss how AI applications may enhance the transition to competency-based continuing professional development.
  • 5. Agenda • Introduction to big data and AI examples (15) • Shout-out on other examples (3) • What concerns do you have? (6) • Practical data collection – small groups (20) • Report back: rapid fire (7) • Nudge theory examples (5) • Data  action – small groups (15+5) • Roundup TIL (10)
  • 6. Supplementary materials To enhance the effectiveness of this workshop, there will be: • Additional references • Case examples • Data tools • Opportunities to contribute … at https://olab.ca/cbcme-big-data-and-ai/