Interactive Evaluation of an Adaptive-Questioning Symptom Checker Using Standardized Clinical Vignettes

ObjectiveTo evaluate the triage performance and history-taking quality of an adaptive-questioning symptom checker (CareRoute) using an interactive protocol on standardized clinical vignettes (Semigran et al., BMJ 2015; 45 cases). MethodsEach session began with only the presenting complaint; CareRoute asked follow-up questions adaptively, and the evaluator answered concisely per the vignette. At the end of questioning, CareRoute issued a triage recommendation. We compared CareRoutes issued triage with the reference triage and computed history-taking quality from normalized features derived from each vignettes Condensed Format. History-taking quality comprised (i) elicitation coverage--the percentage of a vignettes normalized features obtained through questioning, and (ii) elicitation fraction--the proportion of surfaced normalized features (elicited or volunteered) that were obtained through questioning. Primary outcomes were triage concordance and history-taking quality; the secondary outcome was user burden (time spent answering questions). We did not evaluate possible diagnoses, though CareRoute issues them. ResultsExact 3-tier triage concordance was 88.9% (40/45; 95% CI 76.5-95.2%). Elicitation coverage had a median of 67% (IQR 60-71%), and elicitation fraction had a median of 70% (IQR 62-75%). CareRoute asked a median of 19 questions overall (IQR 16-20), with urgency-conditioned questioning: Emergency Care median 10 questions (IQR 4-14), Doctor Visit median 19 questions (IQR 18-20), Self Care median 19 questions (IQR 17-20). ConclusionsIn an interactive, vignette-constrained evaluation starting from only the presenting complaint, CareRoute achieved high 3-tier triage concordance (88.9%) with no under-triage on Emergency-reference vignettes, while eliciting most normalized features (median elicitation coverage 67%; median elicitation fraction 70%) with acceptable user burden via urgency-conditioned questioning.