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Mark D Syer

Biographic Data

ID9555754
NAMEMark D Syer
GIVEN NAMESMark D
FAMILY NAMESyer
SIGNATURESYER M D
AFFILIATIONSQueen's University
ORCID0000-0002-2855-9557
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0
  • The fundamentals of Artificial Intelligence in medical education research

    Martin G Tolsgaard, Martin Pusic et al.•ARTICLE•Medical Teacher•2023

    The use of Artificial Intelligence (AI) in medical education has the potential to facilitate complicated tasks and improve efficiency. For example, AI could help automate assessment of written responses, or provide feedback on medical image interpretations with excellent reliability. While applications of AI in learning, instruction, and assessment are growing, further exploration is still required. There exist few conceptual or methodological gu…

  • Facilitating Residents’ Understanding of Electronic Health Record Report Card Data Using Faculty Feedback and Coaching

    Stefanie S Sebok‐Syer, Jennifer M Shaw et al.•ARTICLE•Academic Medicine•2022

    PURPOSE: Feedback continues to present a challenge for competency-based medical education. Clear, consistent, and credible feedback is vital to supporting one's ongoing development, yet it can be difficult to gather clinical performance data about residents. This study sought to determine whether providing residents with electronic health record (EHR)-based report cards, as well as an opportunity to discuss these data with faculty trained using t…

  • A scoping review of approaches for measuring ‘interdependent’ collaborative performances

    Open Access•Stefanie S Sebok‐Syer, Jennifer M Shaw et al.•ARTICLE•Medical Education•2021

No prominent works on this page.

  • A scoping review of approaches for measuring ‘interdependent’ collaborative performances

    Open Access•Stefanie S Sebok‐Syer, Jennifer M Shaw et al.•ARTICLE•Medical Education•2021

  • Facilitating Residents’ Understanding of Electronic Health Record Report Card Data Using Faculty Feedback and Coaching

    Stefanie S Sebok‐Syer, Jennifer M Shaw et al.•ARTICLE•Academic Medicine•2022

    PURPOSE: Feedback continues to present a challenge for competency-based medical education. Clear, consistent, and credible feedback is vital to supporting one's ongoing development, yet it can be difficult to gather clinical performance data about residents. This study sought to determine whether providing residents with electronic health record (EHR)-based report cards, as well as an opportunity to discuss these data with faculty trained using t…

  • The fundamentals of Artificial Intelligence in medical education research

    Martin G Tolsgaard, Martin Pusic et al.•ARTICLE•Medical Teacher•2023

    The use of Artificial Intelligence (AI) in medical education has the potential to facilitate complicated tasks and improve efficiency. For example, AI could help automate assessment of written responses, or provide feedback on medical image interpretations with excellent reliability. While applications of AI in learning, instruction, and assessment are growing, further exploration is still required. There exist few conceptual or methodological gu…

Medicine (3 works) · Clinical Reasoning and Diagnostic Skills (2 works) · Innovations in Medical Education (2 works) · Medical education (2 works) · Psychology (2 works) · Applications of artificial intelligence (1 works) · Applied Psychology (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works)

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