High-Stakes AI Feedback in Clinical Assessment: A Comparative Evaluation of GPT-4o and Claude 4 Feedback Fidelity

This study compares OpenAI's GPT-4o and Anthropic's Claude 4 in the generation of formative and summative feedback in Objective Structured Clinical Examinations (OSCEs) within Qpercom's assessment platform. A stratified sample of 51 anonymized student records was analyzed, comparing examiner-facing (pre-verification/preview) and student-facing (portfolio) feedback across both models. While both systems delivered actionable suggestions, Claude 4 consistently outperformed GPT-4o in alignment with examiner data, absence of hallucinations, and preservation of critical learning points-especially for underperforming and mid-performing students. This evidence-based evaluation recommends Claude 4 as the safer and more effective AI solution for high-stakes educational settings.