Case-based Question Generation

Case-Based Question Generation is a methodological framework within clinical question formulation that systematically derives clinical questions from real or simulated patient cases by identifying key clinical elements and converting them into structured, answerable queries.

9

Publications

312

Citations

35

Authors

16

Institutions

Publications per year

2017–2026

7

Authors

35

  1. YS
    Yavuz Selim Kıyak

    Gazi University, Türkiye

    2 publications · 81 citations

    2

    h-index

  2. SF
    S. Forge

    RELX Group (United States), United States

    1 publications · 76 citations

    1

    h-index

  3. HA
    Harry A. Smith

    University Medical Center of the Johannes Gutenberg University Mainz, Germany

    1 publications · 43 citations

    1

    h-index

  4. DA
    David A. Cook

    Mayo Clinic, United States

    1 publications · 22 citations

    1

    h-index

  5. JE
    Jonas Eckrich

    Johannes Gutenberg University Mainz, Germany

    1 publications · 43 citations

    1

    h-index

1–5 of 35

Venues

  1. JMIR Medical Education

    2 publications · 62 citations

    2

    h-index

  2. Procedia - Social and Behavioral Sciences

    1 publications · 22 citations

    1

    h-index

  3. Academic Medicine

    1 publications · 22 citations

    1

    h-index

  4. 1

    h-index

  5. Medical Teacher

    1 publications · 49 citations

    1

    h-index

1–5