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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Feb 19, 2022
Date Accepted: Oct 11, 2022

The final, peer-reviewed published version of this preprint can be found here:

Online Symptom Checkers: Recommendations for a Vignette-Based Clinical Evaluation Standard

Painter AC, Hayhoe B, El-Osta A

Online Symptom Checkers: Recommendations for a Vignette-Based Clinical Evaluation Standard

J Med Internet Res 2022;24(10):e37408

DOI: 10.2196/37408

PMID: 36287594

PMCID: 9647454

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Online Symptom Checkers: Exploring the need for a standardised clinical validation process

  • Annabelle Charlotte Painter; 
  • Benedict Hayhoe; 
  • Austen El-Osta

ABSTRACT

The use of online symptom checkers (OSCs) is increasing but their safety, efficacy and impact on healthcare systems remain unclear. The lack of a standardised validation process and the absence of third-party testing requirements have resulted in significant variation in OSC clinical performance. Discrepancy in the findings of comparative studies to date suggests that several steps in OSC evaluation methodology can significantly influence outcomes. A uniform validation process with a clear specification is urgently required to objectively assess the performance of OSCs and help improve patient safety. Careful consideration and clear guidance for each of these steps will be required to create an objective validation standard that is robust and fair. An objective validation process could support the widescale adoption of OSC in the community setting with the potential to reduce pressure on scarce NHS resources, especially for self-limiting conditions.


 Citation

Please cite as:

Painter AC, Hayhoe B, El-Osta A

Online Symptom Checkers: Recommendations for a Vignette-Based Clinical Evaluation Standard

J Med Internet Res 2022;24(10):e37408

DOI: 10.2196/37408

PMID: 36287594

PMCID: 9647454

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