LabCompass

Yu‐Che Chang

Medicine · Indiana University

OpenAlex ORCID
Innovations in Medical EducationSimulation-Based Education in HealthcareEmergency and Acute Care StudiesClinical Reasoning and Diagnostic SkillsMedical Education and Admissions

Publications

78

Citations

1,136

Est. group size

—

Recurring co-author estimate

Active years

24

Publishing since 2003

Research summary
AI-generated

Yu-Che Chang studies how doctors, nurses, and medical students are trained, with a particular focus on emergency and acute care settings. The work examines teaching methods such as simulation and virtual reality, ways of giving feedback, assessing trainee competence, and how healthcare professionals develop their sense of professional identity. Recent projects also touch on topics like AI authorship in academic writing and adapting medical education during the COVID-19 pandemic.

Medical and health professions educationSimulation-based trainingEmergency and acute care medicineProfessional identity and competency assessmentFeedback and clinical teaching

Publication activity has fluctuated year to year, with peaks around 2020 and 2022, averaging about five publications per year over the last five years without a clear upward or downward trend.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.0/year recently
2017: 1 publication172018: 1 publication182019: 5 publications192020: 11 publications202021: 4 publications212022: 12 publications12222023: 3 publications232024: 2 publications242025: 6 publications252026: 2 publications26
Recent publications
Publishes in
  • BMC Medical Education×8
  • Medical Education×7
  • Frontiers in Medicine×5
  • Journal of the American Chemical Society×3
  • Research Square×3

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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