Showing 1 - 2 of 2 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

Fit for Purpose and Modern Validity Theory in Clinical Outcomes Assessment

Posted: | M. C. Edwards, A. Slagle, J. D. Rubright, R. J. Wirth

Qual Life Res 27, 1711–1720 (2018)

 

The US Food and Drug Administration (FDA), as part of its regulatory mission, is charged with determining whether a clinical outcome assessment (COA) is “fit for purpose” when used in clinical trials to support drug approval and product labeling. This paper provides a review (and some commentary) on the current state of affairs in COA development/evaluation/use with a focus on one aspect: How do you know you are measuring the right thing? In the psychometric literature, this concept is referred to broadly as validity and has itself evolved over many years of research and application.

Category:Assessment-Oriented Research, General Measurement, Reliability/Validity