LabCompass

Jessica N. Byram

Medicine · Indiana University

OpenAlex ORCID
Innovations in Medical EducationAnatomy and Medical TechnologyHealth and Medical Research ImpactsProblem and Project Based LearningDiversity and Career in Medicine

Publications

72

Citations

327

Est. group size

~1

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

Jessica N. Byram studies how anatomy and medicine are taught, focusing on new teaching methods and how students learn. Recent work explores hands-on and case-based learning in gross anatomy, the role of large language models (AI chatbots) in answering medical exam questions, and well-being and burnout among medical educators and residency directors. The research also examines inclusive anatomical language and qualitative research methods in medical education.

Medical and anatomy educationActive and case-based learning methodsAI/large language models in educationEducator well-being and burnoutInclusive language and qualitative research methods

Publication activity grew through the late 2010s to a peak around 2021-2022 and has continued at a steady pace of roughly seven papers per year since.

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

Publication cadence
Publications per year over the last 10 years — averaging 7.2/year recently
2017: 3 publications172018: 2 publications182019: 7 publications192020: 7 publications202021: 11 publications212022: 13 publications13222023: 5 publications232024: 6 publications242025: 8 publications252026: 4 publications26
Recent publications
Publishes in
  • The FASEB Journal×24
  • Anatomical Sciences Education×13
  • Teaching and Learning in Medicine×3
  • Medical Teacher×3
  • Medical Education×2

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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