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Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

A study by Gilbert et al [68] comparing urgency advice (ie, triage) from 7 multicondition symptom checker apps and 7 general practitioners to gold-standard vignettes found that the condition suggested first matched the gold standard (ie, M1 accuracy) for 71% of general practitioners and 26% of apps; when broadening to the condition suggested in the top 5 (ie, M5 accuracy), the accuracy of general practitioners rose to 83% and apps to 41%.

Kimberly Peven, Aidan P Wickham, Octavia Wilks, Yusuf C Kaplan, Andrei Marhol, Saddif Ahmed, Ryan Bamford, Adam C Cunningham, Carley Prentice, András Meczner, Matthew Fenech, Stephen Gilbert, Anna Klepchukova, Sonia Ponzo, Liudmila Zhaunova

JMIR Mhealth Uhealth 2023;11:e46718