Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Medical Education
Body And Disease 2008: An Integrated Course Teaching Pathology, Pharmacology, Immunology And Microbiology, Janil Puthucheary, Doyle Graham, Charles A. Gullo Phd, Hwang Nina Chih, Lynette Oon, Tan Soo Yong, Sandy Cook
Body And Disease 2008: An Integrated Course Teaching Pathology, Pharmacology, Immunology And Microbiology, Janil Puthucheary, Doyle Graham, Charles A. Gullo Phd, Hwang Nina Chih, Lynette Oon, Tan Soo Yong, Sandy Cook
Charles Gullo
The Duke-NUS Graduate Medical School Singapore (Duke-NUS) Body and Disease course is a 20-week, integrated course occurring at the end of the first year. The course covers four basic science topics: Pathology, Pharmacology, Immunology, and Microbiology and is modelled after the same course from the Duke University School of Medicine (DSOM) in Durham, North Carolina, USA. The structure of the course, as delivered by DSOM, was adapted to meet the needs and structure of the Duke-NUS programme. In addition, the course was adapted significantly to incorporate the Team-Based Learning methodology. In this paper, we detail how we approached these unique …
Predicting Medical Student Success On Licensure Exams, Charles A. Gullo, Michael J. Mccarthy, Joseph I. Shapiro, Bobby L. Miller
Predicting Medical Student Success On Licensure Exams, Charles A. Gullo, Michael J. Mccarthy, Joseph I. Shapiro, Bobby L. Miller
Charles Gullo
Many schools seek to predict performance on national exams required for medical school graduation using prematriculation and medical school performance data. The need for targeted intervention strategies for at-risk students has led much of this interest. Assumptions that preadmission data and high stakes in-house medical exams correlate strongly with national standardized exam performance needs to be examined. Looking at prematriculation data for predicting USMLE Step 1 performance, we found that MCAT exam totals and math-science GPA had the best prediction from a set of prematriculation values (adjusted R 2 = 11.7 %) for step 1. The addition of scores from …