Christopher Runyon
Biographic Data
| ID | 9556697 |
|---|---|
| NAME | Christopher Runyon |
| GIVEN NAMES | Christopher |
| FAMILY NAME | Runyon |
| SIGNATURE | RUNYON C |
| AFFILIATIONS | Growth and Innovation, NBME |
| ORCID | 0000-0003-1207-7390 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Building a Validity Argument for a New Clinical Reasoning Item Format
Using large language models (LLMs) to apply analytic rubrics to score post-encounter notes
BACKGROUND: Large language models (LLMs) show promise in medical education. This study examines LLMs' ability to score post-encounter notes (PNs) from Objective Structured Clinical Examinations (OSCEs) using an analytic rubric. The goal was to evaluate and refine methods for accurate, consistent scoring. METHODS: Seven LLMs scored five PNs representing varying levels of performance, including an intentionally incorrect PN. An iterative experiment…
SHARP (SHort Answer, Rationale Provision)
Medical Student Well-Being While Studying for the USMLE Step 1
Purpose: The United States Medical Licensing Examination (USMLE) Step 1 is a critical milestone for medical students. Many medical students aim to achieve a high score to have the best chance of matching into a residency of their choice. 1–4 Although preliminary research suggests that a student’s Step 1 goal score may have a relationship to actual score, 5 no research has explored the relationship between students’ goal score and their wellness. …
One Size Doesn’t Fit All
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should consider when using surveys. It then focuses on factor analysis, a statistical method that can be used to c…
No prominent works on this page.
One Size Doesn’t Fit All
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should consider when using surveys. It then focuses on factor analysis, a statistical method that can be used to c…
Medical Student Well-Being While Studying for the USMLE Step 1
Purpose: The United States Medical Licensing Examination (USMLE) Step 1 is a critical milestone for medical students. Many medical students aim to achieve a high score to have the best chance of matching into a residency of their choice. 1–4 Although preliminary research suggests that a student’s Step 1 goal score may have a relationship to actual score, 5 no research has explored the relationship between students’ goal score and their wellness. …
SHARP (SHort Answer, Rationale Provision)
Building a Validity Argument for a New Clinical Reasoning Item Format
Using large language models (LLMs) to apply analytic rubrics to score post-encounter notes
BACKGROUND: Large language models (LLMs) show promise in medical education. This study examines LLMs' ability to score post-encounter notes (PNs) from Objective Structured Clinical Examinations (OSCEs) using an analytic rubric. The goal was to evaluate and refine methods for accurate, consistent scoring. METHODS: Seven LLMs scored five PNs representing varying levels of performance, including an intentionally incorrect PN. An iterative experiment…
Psychology (5 works) · Computer Science (4 works) · Innovations in Medical Education (4 works) · Medical education (4 works) · Medicine (4 works) · Clinical Reasoning and Diagnostic Skills (2 works) · Mathematics education (2 works) · Rubric (2 works) · Simulation-Based Education in Healthcare (2 works) · Accreditation (1 work)