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Googling for a veterinary diagnosis: A replication study using Google as a diagnostic aid.

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Google searches aided veterinary diagnoses in 42% of complex cases, similar to a previous human medicine study. This tool can help veterinarians confirm diagnoses or explore alternatives for challenging cases.

Keywords:
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Area of Science:

  • Veterinary Medicine
  • Diagnostic Tools
  • Information Science

Background:

  • A prior study in human medicine utilized Google for diagnostic assistance.
  • This research aimed to replicate those findings within veterinary medicine.
  • Complex and unusual cases present diagnostic challenges in veterinary practice.

Purpose of the Study:

  • To evaluate the effectiveness of Google as a diagnostic aid in veterinary medicine.
  • To determine the percentage of diagnoses accurately identified using Google search.
  • To compare Google-assisted diagnoses with unaided diagnoses by veterinarians.

Main Methods:

  • A cross-sectional survey of Google search results was conducted.
  • Veterinarians (generalist and specialist) generated search terms based on case details, blinded to the diagnosis.
  • The top 30 Google results from up to five search strategies were reviewed by a generalist to formulate a Google-aided diagnosis.

Main Results:

  • Google-aided diagnoses matched the confirmed diagnosis in 42% of cases.
  • This accuracy rate was comparable to a 58% rate found in a similar human medicine study.
  • Google-assisted diagnostic accuracy was not significantly different from unaided veterinarian diagnoses (33%).

Conclusions:

  • Online search engines like Google can assist veterinarians in reinforcing diagnoses or considering differential diagnoses for complex cases.
  • Developing effective search strategies using clinical signs or preliminary diagnoses is key.
  • Published information accessible via search engines can be a valuable resource for veterinary diagnostics.