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AI-assisted script concordance tests: Enhancing feasibility with customized ChatGPT.

Enjy Abouzeid1, Moataz A Sallam2

  • 1School of Medicine, Ulster University, Londonderry, UK.

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Summary

Artificial intelligence (AI) and ChatGPT can generate and score Script Concordance Tests (SCTs) to assess clinical reasoning. This AI-assisted approach overcomes challenges in developing reliable and valid clinical reasoning assessments.

Keywords:
ChatGPTScript Concordance test (SCT)artificial intelligence (AI)clinical reasoning

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Cognitive Science

Background:

  • The Script Concordance Test (SCT) evaluates clinical reasoning by comparing examinee responses in uncertain scenarios to expert panels.
  • Traditional methods face challenges in creating relevant scenarios and ensuring expert panel reliability, complicating high-stakes assessments.

Purpose of the Study:

  • To leverage Artificial Intelligence (AI), specifically ChatGPT, to address the challenges in developing and scoring Script Concordance Tests (SCTs).
  • To explore the feasibility of AI-generated SCTs for assessing clinical reasoning in ophthalmology.

Main Methods:

  • Utilized ChatGPT with refined prompts to generate SCT vignettes aligned with curricular blueprints, emulating medical educators.
  • Developed a customized ChatGPT system trained to assist in SCT creation and scoring, incorporating expert-derived scoring keys.
  • Constructed a 10-question SCT in ophthalmology, with each question featuring three items assessed on a 5-point Likert scale.

Main Results:

  • ChatGPT-generated SCTs demonstrated effectiveness in simulating clinical scenarios and structuring the scoring process.
  • AI assistance facilitated the analysis of examinee response patterns.

Conclusions:

  • AI, particularly ChatGPT, offers a viable solution for generating and scoring Script Concordance Tests (SCTs), enhancing clinical reasoning assessment.
  • Future efforts will focus on expanding AI-assisted SCTs to other medical specialties and building a repository of validated assessment tools.