RESEARCH LIBRARY

Journal of Graduate Medical Education: Volume 14, Issue 6, Pages 634-638

This article discusses recent recommendations from the UME-GME Review Committee (UGRC) to address challenges in the UME-GME transition—including complexity, negative impact on well-being, costs, and inequities.

Diagnosis: Volume 10, Issue 1, Pages 54-60

This op-ed discusses the advantages of leveraging natural language processing (NLP) in the assessment of clinical reasoning. It also provides an overview of INCITE, the Intelligent Clinical Text Evaluator, a scalable NLP-based computer-assisted scoring system that was developed to measure clinical reasoning ability as assessed in the written documentation portion of the now-discontinued USMLE Step 2 Clinical Skills examination. 

Research in Nursing & Health: Volume 46, Issue 1, Pages 127-135

As interest in supporting new nurse practitioners' (NPs) transition to practice increases, those interested in measuring the concept will need an instrument with evidence of reliability and validity. The Novice NP Role Transition (NNPRT) Scale is the first instrument to measure the concept. Using a cross-sectional design and data from 210 novice NPs, the purpose of this study was to confirm the NNPRT Scale's internal factor structure via confirmatory factor analysis (CFA).

Academic Medicine: Volume 98 - Issue 2 - Pages 180-187

This article describes the work of the Coalition for Physician Accountability’s Undergraduate Medical Education to Graduate Medical Education Review Committee (UGRC) to apply a quality improvement approach and systems thinking to explore the underlying causes of dysfunction in the undergraduate medical education (UME) to graduate medical education (GME) transition.

Behavior & Information Technology

This study builds upon prior work in this area that focused on developing a machine-learning classifier trained on gaze data from web-related tasks to detect ASD in adults. Using the same data, we show that a new data pre-processing approach, combined with an exploration of the performance of different classification algorithms, leads to an increased classification accuracy compared to prior work.

JMIR Medical Education: Volume 8 - Issue 2 - e30988

This article aims to compare the reliability of two assessment groups (crowdsourced laypeople and patient advocates) in rating physician error disclosure communication skills using the Video-Based Communication Assessment app.

Academic Medicine: Volume 97 - Issue 2 - Pages 262-270

This study examined shifts in U.S. medical student interactions with EHRs during their clinical education, 2012–2016, and how these interactions varied by clerkship within and across medical schools.

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.

Journal of the American Association of Nurse Practitioners: January 2022 - Volume 34 - Issue 1 - p 78-88

The purpose of this study was to develop and examine the initial factor structure of a novel instrument that measures NNPRT.