Showing 1 - 3 of 3 Research Library Publications

The Fundamentals of Artificial Intelligence in Medical Education Research: AMEE Guide No. 156

Posted: | Martin G. Tolsgaard, Martin V. Pusic, Stefanie S. Sebok-Syer, Brian Gin, Morten Bo Svendsen, Mark D. Syer, Ryan Brydges, Monica M. Cuddy, Christy K. Boscardin

Medical Teacher: Volume 45 - Issue 6, Pages 565-573

 

This guide aims aim to describe practical considerations involved in reading and conducting studies in medical education using Artificial Intelligence (AI), define basic terminology and identify which medical education problems and data are ideally-suited for using AI.

Category:Assessment-Oriented Research, Applications of Technology

Reported Pediatrics Milestones (Mostly) Measure Program, Not Learner Performance

Posted: | Kimberly Hu, Patricia J. Hicks, Melissa Margolis, Carol Carraccio, Amanda Osta, Marcia L. Winward, Alan Schwartz

Academic Medicine: Volume 95 - Issue 11S - Pages S89-S94

 

Semiannually, U.S. pediatrics residency programs report resident milestone levels to the Accreditation Council for Graduate Medical Education (ACGME). The Pediatrics Milestones Assessment Collaborative (PMAC) developed workplace-based assessments of 2 inferences. The authors compared learner and program variance in PMAC scores with ACGME milestones.

Category:Assessment-Oriented Research, Links to Outcomes

A Novel Workplace-Based Assessment for Competency-Based Decisions and Learner Feedback

Posted: | P.J. Hicks, M.J. Margolis, C.L. Carraccio, B.E. Clauser, K. Donnelly, H.B. Fromme, K.A. Gifford, S.E. Poynter, D.J. Schumacher, A. Schwartz & the PMAC Module 1 Study Group

Medical Teacher: Volume 40 - Issue 11 - p 1143-1150

 

This study explores a novel milestone-based workplace assessment system that was implemented in 15 pediatrics residency programs. The system provided: web-based multisource feedback and structured clinical observation instruments that could be completed on any computer or mobile device; and monthly feedback reports that included competency-level scores and recommendations for improvement.

Category:Assessment-Oriented Research, General Measurement