Authors' Reply to: Screening Tools: Their Intended Audiences and Purposes. Comment on "Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study".

Nicolas Munsch,Bernhard Knapp,Jama Nateqi,Rafael Weingartner-Ortner,Alistair Martin,Isselmou Abdarahmane,Stefanie Gruarin

doi:10.2196/26543

Abstract

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Highlights

We thank Millen et al [1] (Ada Health) for having taken the time to read our recently published COVID-19 symptom checker comparison study [2] and for their letter to the editor
The opposite is true: the same Symptoma engine is widely used by laypersons and the comparison as executed in our publication is appropriate
At Symptoma, we have found that the greater the wealth of data flowing into the symptom checker artificial intelligence (AI), the better the output and results generated for our users

Summary

Introduction

We thank Millen et al [1] (Ada Health) for having taken the time to read our recently published COVID-19 symptom checker comparison study [2] and for their letter to the editor. Corresponding Author: Bernhard Knapp, PhD Data Science Department Symptoma Kundmanngasse 21 Vienna, 1030 Austria Phone: 43 662458206 Email: science@symptoma.com COVID-19; symptom checkers; benchmark; digital health; symptom; chatbot; accuracy

Results

Conclusion