AIMC Topic: Clinical Clerkship

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Can Artificial Intelligence Coach Faculty to Utilize Growth Mindset Language? A Qualitative Analysis of Feedback Statements.

The Journal of surgical research Mar 27, 2025
INTRODUCTION: Feedback is at the core of competency-based medical education. Learner perceptions of the evaluation process influence how feedback is utilized. Systems emphasize a fixed mindset, prioritizing evaluation over growth. Embracing growth mi...
Mentoring Faculty, Medical Qualitative Research Formative Feedback Clinical Clerkship Humans Competency-Based Education Internship and Residency Students, Medical Artificial Intelligence
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The Surgical Clerkship in the COVID Era: A Natural Language Processing and Thematic Analysis.

The Journal of surgical research May 16, 2024
INTRODUCTION: Responses to COVID-19 within medical education prompted significant changes to the surgical clerkship. We analyzed the changes in medical student end of course feedback before and after the COVID-19 outbreak.
Female Students, Medical COVID-19 Surveys and Questionnaires Educational Measurement Male Humans General Surgery Natural Language Processing Clinical Clerkship
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Using machine learning to identify key subject categories predicting the pre-clerkship and clerkship performance: 8-year cohort study.

Journal of the Chinese Medical Association : JCMA Apr 18, 2024
BACKGROUND: Medical students need to build a solid foundation of knowledge to become physicians. Clerkship is often considered the first transition point, and clerkship performance is essential for their development. We hope to identify subjects that...
Cohort Studies Clinical Clerkship Students, Medical Male Female Machine Learning Humans
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Using natural language processing to provide personalized learning opportunities from trainee clinical notes.

Journal of biomedical informatics Jun 10, 2015
OBJECTIVE: Assessment of medical trainee learning through pre-defined competencies is now commonplace in schools of medicine. We describe a novel electronic advisor system using natural language processing (NLP) to identify two geriatric medicine com...
Reproducibility of Results Mental Disorders Outcome Assessment, Health Care Aged Middle Aged Geriatrics Learning Education, Medical Clinical Competence Software Academic Medical Centers Clinical Clerkship Electronic Health Records Students, Medical Hospitals, Veterans Algorithms Educational Measurement Humans Advance Directives Automation Tennessee User-Computer Interface Natural Language Processing
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