DOI: 10.1177/19437676261500028 ISSN: 1943-7676

Development and Validation of a ChatGPT-Based Assessment for Conversation-Related Clinical Skills in Occupational Therapy OSCEs

Yi-Ching Wang, An-Ju Chen, Mon-Jane How, Chih-Wei Yang, Ya-Chen Lee, Sheau-Ling Huang, Ching-Lin Hsieh

Importance

Conversation-related clinical skills are central to Objective Structured Clinical Examinations (OSCEs) in occupational therapy. However, real-time examiner scoring is resource-intensive and may overlook students’ specific skills. Transcript-based scoring with Chat Generative Pre-Trained Transformer (ChatGPT) may address these limitations.

Objective

To develop a ChatGPT-based assessment for chief-complaint interview OSCEs (G-ACE) and examine criterion validity against expert-consensus ratings, test–retest reliability, and inter-rater reliability.

Design

Secondary analysis of de-identified transcripts from 8-min chief-complaint interviews with a simulated patient with stroke during an OSCE.

Settings

A university in northern Taiwan.

Participants

Fifty-eight de-identified transcripts from undergraduate occupational therapy students.

Results

Criterion validity was acceptable for “Primary Symptoms and Related Feelings” and “Impact on Daily Life” items (weighted kappa ≥ 0.60), but lower for “Rehabilitation Expectations” and “Communication Skills” items (0.18–0.59). For domain and total scores, intraclass correlation coefficients (ICCs) were 0.17 to 0.78 and percentages of mean absolute errors (MAE%s) were 4.6% to 20.7%. Test–retest reliability was acceptable at the item level (weighted kappa = 0.68–1.00), and acceptable to good at the domain and total score levels (ICC = 0.65–0.85; MAE% = 2.3%–9.1%). Inter-rater reliability was acceptable for most domain and total scores (ICCs = 0.52–0.78; MAE%s = 1.3%–12.0%), except for the “Rehabilitation Expectations” domain (ICCs = 0.17–0.30; MAE%s = 1.3%–7.3%).

Conclusion and Relevance

The G-ACE demonstrated generally acceptable test–retest reliability and small absolute differences from expert ratings for domain and total scores. Because some items showed lower consistency with expert ratings, formative feedback should be interpreted cautiously based on transcript evidence.

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