Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data.

We captured 36 medical professionals’ process data across five medical cases using CResME, a multimedia system designed to activate illness scripts. Findings showed medical expertise was unrelated to diagnostic performance when illness scripts were disrupted, and that process data was predictive of diagnostic performance for some medical cases. Implications of our study illustrate ways to design AIEd systems capable of scaffolding diagnostic reasoning to reduce medical errors.