Open Access<p>Optimizing Multidisciplinary Simulation in Medical School for Larger Groups: Role Assignment by Lottery and Guided Learning</p>
Author(s) -
Lawrence F. Borges,
Jamie Robertson,
Steven Kappler,
Suresh K Venkatan,
David X. Jin,
Edward L. Barnes,
Farouc A. Jaffer,
Fidencio Saldaña,
David M. Dudzinski,
Ada C. Stefanescu Schmidt,
Douglas Drachman,
Michael N. Young,
Emily M. Hayden,
Stephen R. Pelletier,
Helen M. Shields
Publication year - 2020
Publication title -
advances in medical education and practice
Language(s) - English
Resource type - Journals
ISSN - 1179-7258
DOI - 10.2147/amep.s270272
Subject(s) - lottery , multidisciplinary approach , computer science , artificial intelligence , medical education , medicine , mathematics , statistics , political science , law
Medical school simulations are often designed for a limited number of students to maximize engagement and learning. To ensure that all first-year medical students who wished to join had an opportunity to participate, we designed a novel method for larger groups.