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Automated Assessment of Medical Students’ Competency-Based Performance Using Natural Language Processing (NLP)

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Purpose: 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… Click to show full abstract

Purpose: 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 resource intensive, limiting its frequency. 2

Keywords: assessment medical; medical students; automated assessment; competency based; competency; performance

Journal Title: Academic Medicine
Year Published: 2022

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