Brigid M Dolan
Biographic Data
| ID | 7707486 |
|---|---|
| NAME | Brigid M Dolan |
| GIVEN NAMES | Brigid M |
| FAMILY NAME | Dolan |
| SIGNATURE | DOLAN B M |
| AFFILIATIONS | Northwestern University |
| ORCID | 0000-0002-3241-6778 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Clerkship Assessment Reliability Based on Assessor Type and Assessor-Student Contact Frequency
Getting Ready for Residency
Using Natural Language Processing to Visualize Narrative Feedback in a Medical Student Performance Dashboard
Employing Natural Language Processing to Evaluate the Impact of an Intervention to Reduce Narrative Bias Within Medical Student Clerkship Assessments
Purpose: Studies have demonstrated the deleterious impact of bias within clinical assessments, especially for students from minoritized groups.1–3 Growing evidence demonstrates that words in narrative assessments differ based on race and gender in both clinical performance assessments2 (CPAs) and within Medical Student Performance Evaluations3 (MSPEs). We developed and implemented a brief intervention to promote best practices and reduce bias in …
Automated Assessment of Medical Students’ Competency-Based Performance Using Natural Language Processing (NLP)
Assessment systems in competency-based medical education increasingly rely on narrative feedback to describe learner performance. 1 When collected over time, learner portfolios include hundreds of narrative comments describing behavioral performance such as communication and teamwork that are not evident in categorical ratings or quantitative assessments alone. However, this large volume of data makes summative competency assessment both time and…
Incorporating Long-acting Reversible Contraception Into Primary Care
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Incorporating Long-acting Reversible Contraception Into Primary Care
Automated Assessment of Medical Students’ Competency-Based Performance Using Natural Language Processing (NLP)
Assessment systems in competency-based medical education increasingly rely on narrative feedback to describe learner performance. 1 When collected over time, learner portfolios include hundreds of narrative comments describing behavioral performance such as communication and teamwork that are not evident in categorical ratings or quantitative assessments alone. However, this large volume of data makes summative competency assessment both time and…
Employing Natural Language Processing to Evaluate the Impact of an Intervention to Reduce Narrative Bias Within Medical Student Clerkship Assessments
Purpose: Studies have demonstrated the deleterious impact of bias within clinical assessments, especially for students from minoritized groups.1–3 Growing evidence demonstrates that words in narrative assessments differ based on race and gender in both clinical performance assessments2 (CPAs) and within Medical Student Performance Evaluations3 (MSPEs). We developed and implemented a brief intervention to promote best practices and reduce bias in …
Using Natural Language Processing to Visualize Narrative Feedback in a Medical Student Performance Dashboard
Clerkship Assessment Reliability Based on Assessor Type and Assessor-Student Contact Frequency
Getting Ready for Residency
Medical education (6 works) · Medicine (6 works) · Psychology (6 works) · Innovations in Medical Education (5 works) · Clinical Reasoning and Diagnostic Skills (3 works) · Medical Education and Admissions (3 works) · Narrative (3 works) · Computer Science (2 works) · Linguistics (2 works) · Sociology (2 works)