RESEARCH LIBRARY
RESEARCH LIBRARY
View the latest publications from members of the NBME research team
Academic Medicine: Volume 99 - Issue 3 - p 325-330
This retrospective cohort study investigates the association between United States Medical Licensing Examination (USMLE) scores and outcomes in 196,881 hospitalizations in Pennsylvania over 3 years.
Academic Medicine: Volume 99 - Issue 2 - p 192-197
This report investigates the potential of artificial intelligence (AI) agents, exemplified by ChatGPT, to perform on the United States Medical Licensing Examination (USMLE), following reports of its successful performance on sample items.
Advancing Natural Language Processing in Educational Assessment
This book examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-its-kind book provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring, language proficiency assessment, technology-assisted item generation, gamification, learner feedback, and beyond.
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.
Academic Medicine: Volume 97 - Issue 11S - Page S176
As Step 1 begins to transition to pass/fail, it is interesting to consider the impact of score goal on wellness. This study examines the relationship between goal score, gender, and students’ self-reported anxiety, stress, and overall distress immediately following their completion of Step 1.
Academic Medicine: June 2022
This study examines the associations between Step 3 scores and subsequent receipt of disciplinary action taken by state medical boards for problematic behavior in practice. It analyzes Step 3 total, Step 3 computer-based case simulation (CCS), and Step 3multiple-choice question (MCQ) scores.
Journal of Graduate Medical Education: Volume 14, Issue 3, Pages 353-354
Letter to the editor.
Journal of Applied Technology: Volume 23 - Special Issue 1 - Pages 30-40
The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing (NLP) and Machine Learning (ML) techniques to produce prioritized predictions of item enemy statuses within a large item bank.
Academic Medicine: Volume 96 - Issue 9 - Pages 1324-1331
This study examines associations between USMLE Step 1 and Step 2 Clinical Knowledge (CK) scores and ACGME emergency medicine (EM) milestone ratings.
Academic Medicine: Volume 96 - Issue 9 - Pages 1319-1323
This study examined the relationship between USMLE attempts and the likelihood of receiving disciplinary actions from state medical boards.