Performance of a new symptom checker in patient triage: Canadian cohort study

Forson Chan, Simon Lai, Marcus Pieterman, Lisa Richardson, Amanda Singh, Jocelynn Peters, Alex Toy, Caroline Piccininni, Taiysa Rouault, Kristie Wong, James K Quong, Adrienne T Wakabayashi and Anna Pawelec-Brzychczy

PLOS ONE, 2021, vol. 16, issue 12, 1-11

Abstract: Background: Computerized algorithms known as symptom checkers aim to help patients decide what to do should they have a new medical concern. However, despite widespread implementation, most studies on symptom checkers have involved simulated patients. Only limited evidence currently exists about symptom checker safety or accuracy when used by real patients. We developed a new prototype symptom checker and assessed its safety and accuracy in a prospective cohort of patients presenting to primary care and emergency departments with new medical concerns. Method: A prospective cohort study was done to assess the prototype’s performance. The cohort consisted of adult patients (≥16 years old) who presented to hospital emergency departments and family physician clinics. Primary outcomes were safety and accuracy of triage recommendations to seek hospital care, seek primary care, or manage symptoms at home. Results: Data from 281 hospital patients and 300 clinic patients were collected and analyzed. Sensitivity to emergencies was 100% (10/10 encounters). Sensitivity to urgencies was 90% (73/81) and 97% (34/35) for hospital and primary care patients, respectively. The prototype was significantly more accurate than patients at triage (73% versus 58%, p

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0260696

DOI: 10.1371/journal.pone.0260696

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