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Biomedical Language Analysis as a Tool for Curriculum Analysis and Mapping.

Stephan Bandelow1, Mark Clunes1

  • 1School of Medicine, St. George's University, St. George's, Grenada, West Indies.

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Summary
This summary is machine-generated.

This study used natural language processing to analyze medical school learning objectives, revealing a curriculum that increases in analytical complexity and clinical relevance over time, supporting spiral learning design.

Keywords:
biomedical named entity recognitioncomputational methodsmedical curriculum developmentnatural language analysisspiral curriculum

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Area of Science:

  • Medical Education
  • Natural Language Processing
  • Curriculum Design

Background:

  • Medical school curricula utilize hierarchical learning objectives (LOs) with specific biomedical terminology.
  • The Unified Medical Language System (UMLS) can semantically classify and augment these terms.

Purpose of the Study:

  • To analyze learning objectives in a spiraled medical curriculum using NLP and UMLS.
  • To determine the progression of analytical complexity and the effectiveness of spiral curriculum design.

Main Methods:

  • Natural language processing (NLP) and UMLS were applied to 6086 unique lecture-level LOs from a 2-year preclinical curriculum.
  • LOs were analyzed for action verb complexity using Bloom's taxonomy and biomedical concept frequency via UMLS semantic tags.

Main Results:

  • Bloom's taxonomy scores indicated increasing action verb complexity throughout the curriculum.
  • The proportion of novel biomedical concepts decreased over time, while disease-related concepts increased, supporting curriculum revisitation and clinical focus.

Conclusions:

  • This is the first systematic NLP analysis of a medical curriculum using standardized dictionaries.
  • Results demonstrate a progression in analytical tasks and clinical content, validating spiral curriculum design.
  • Systematic parsing of LOs enhances curriculum evaluation objectivity and provides evidence for accreditation.