Moushumi Sur
Biographic Data
| ID | 7720208 |
|---|---|
| NAME | Moushumi Sur |
| GIVEN NAMES | Moushumi |
| FAMILY NAME | Sur |
| SIGNATURE | SUR M |
| AFFILIATIONS | Baylor College of Medicine |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| 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…
Using the theory of Threshold Concepts to identify troublesome knowledge in becoming a Master Clinical Teacher
PURPOSE: There is a wealth of literature describing the characteristics and proficiencies of clinical teachers, but no description exists of the obstacles that clinical teachers face when aspiring to become a Master Clinical Teacher (MCT). Using Threshold Concepts (TC) theory as an analytical framework can help investigate those potential challenges. METHODS: This is a mixed-methods research integrating an exploratory survey and semi-structured i…
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…
The diagnostic expertise acceleration module (Deam)
Background : Ensuring that learners acquire diagnostic competence in a timely fashion is critical to providing high quality and safe patient care. Resident trainees typically gain experience by undertaking repetitive clinical encounters and receiving feedback from supervising faculty. By critically engaging with the diagnostic process, learners encapsulate medical knowledge into discrete memories that are able to be recollected and refined in sub…
No prominent works on this page.
The diagnostic expertise acceleration module (Deam)
Background : Ensuring that learners acquire diagnostic competence in a timely fashion is critical to providing high quality and safe patient care. Resident trainees typically gain experience by undertaking repetitive clinical encounters and receiving feedback from supervising faculty. By critically engaging with the diagnostic process, learners encapsulate medical knowledge into discrete memories that are able to be recollected and refined in sub…
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…
Using the theory of Threshold Concepts to identify troublesome knowledge in becoming a Master Clinical Teacher
PURPOSE: There is a wealth of literature describing the characteristics and proficiencies of clinical teachers, but no description exists of the obstacles that clinical teachers face when aspiring to become a Master Clinical Teacher (MCT). Using Threshold Concepts (TC) theory as an analytical framework can help investigate those potential challenges. METHODS: This is a mixed-methods research integrating an exploratory survey and semi-structured i…
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 (3 works) · Computer Science (3 works) · Innovations in Medical Education (3 works) · Psychology (3 works) · Mathematics education (2 works) · Medical education (2 works) · Medicine (2 works) · Applications of artificial intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Athletic Training and Education (1 work)