Cardiopulmonary Exercise Testing

Cardiopulmonary exercise testing requires clinicians to integrate multiple physiological measurements and explain their meaning, limitations, safety implications, and appropriate next steps. This randomized two-period crossover study will evaluate whether physician-supervised GPT-assisted drafting preserves the clinical acceptability of final patient-facing responses while reducing task completion time compared with physician-only drafting. Licensed physicians or institutionally recognized clinical trainees will respond in Chinese to 20 synthetic cardiopulmonary exercise testing scenarios. Each participant will complete 10 scenarios in each condition using two non-overlapping case sets. In the GPT-assisted condition, a frozen model-generated draft will be displayed and may be edited, deleted, or completely rewritten by the physician. The primary hypothesis is that GPT-assisted drafting is noninferior to physician-only drafting for clinical acceptability, using a noninferiority margin of 5 percentage points. Completion time will be evaluated for superiority only if noninferiority is established.