Shelley Kumar
Biographic Data
| ID | 7720799 |
|---|---|
| NAME | Shelley Kumar |
| GIVEN NAMES | Shelley |
| FAMILY NAME | Kumar |
| SIGNATURE | KUMAR S |
| AFFILIATIONS | Baylor College of Medicine |
| ORCID | 0000-0002-0927-6762 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Leveraging artificial intelligence to accelerate competency development in diagnostic reasoning of medical students
INTRODUCTION: Diagnostic errors remain a critical patient safety concern, yet teaching diagnostic reasoning is challenging due to its complex, context-specific nature. Traditional teaching methods emphasize analytical reasoning but often neglect non-analytical, pattern recognition processes that are grounded in script theory. Script theory highlights illness scripts-structured mental representations of diseases-as foundational to diagnostic exper…
Job characteristics that enrich clinician-educators’ career
Clinician educators (CEs) play a vital role in helping academic institutions achieve the missions of patient care, education and research. The driving forces that motivate pediatric CEs in professional growth and personal satisfaction remain unexplored. An exploratory survey research to investigate the job characteristics and factors that motivate CEs to pursue professional growth with personal satisfaction. Using the Job Characteristics Model (J…
Psychometric validation of the reconstructed version of the assessment of reasoning tool
BACKGROUND: Assessing learners' competence in diagnostic reasoning is challenging and unstandardized in medical education. We developed a theory-informed, behaviorally anchored rubric, the Assessment of Reasoning Tool (ART), with content and response process validity. This study gathered evidence to support the internal structure and the interpretation of measurements derived from this tool. METHODS: We derived a reconstructed version of ART (ART…
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Psychometric validation of the reconstructed version of the assessment of reasoning tool
BACKGROUND: Assessing learners' competence in diagnostic reasoning is challenging and unstandardized in medical education. We developed a theory-informed, behaviorally anchored rubric, the Assessment of Reasoning Tool (ART), with content and response process validity. This study gathered evidence to support the internal structure and the interpretation of measurements derived from this tool. METHODS: We derived a reconstructed version of ART (ART…
Job characteristics that enrich clinician-educators’ career
Clinician educators (CEs) play a vital role in helping academic institutions achieve the missions of patient care, education and research. The driving forces that motivate pediatric CEs in professional growth and personal satisfaction remain unexplored. An exploratory survey research to investigate the job characteristics and factors that motivate CEs to pursue professional growth with personal satisfaction. Using the Job Characteristics Model (J…
Leveraging artificial intelligence to accelerate competency development in diagnostic reasoning of medical students
INTRODUCTION: Diagnostic errors remain a critical patient safety concern, yet teaching diagnostic reasoning is challenging due to its complex, context-specific nature. Traditional teaching methods emphasize analytical reasoning but often neglect non-analytical, pattern recognition processes that are grounded in script theory. Script theory highlights illness scripts-structured mental representations of diseases-as foundational to diagnostic exper…
Clinical Reasoning and Diagnostic Skills (2 works) · Innovations in Medical Education (2 works) · Psychology (2 works) · Social Psychology (2 works) · Applications of artificial intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Autonomy (1 work) · Clinical Psychology (1 work) · Cognition (1 work) · Cognitive psychology (1 work)