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Paging Doctor Google! Heuristics vs. technology.

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The study compared internet search engine use versus traditional diagnostic methods. While novices using search engines diagnosed renal diseases less often than experts, their performance matched that of intermediate trainees.

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Area of Science:

  • Medical Informatics
  • Clinical Decision-Making
  • Nephrology

Background:

  • The Internet has become a significant resource for both clinicians and patients in medical decision-making.
  • Physicians increasingly use online resources, including search engines, for diagnosis and treatment.
  • The efficacy of internet search engines compared to traditional heuristic methods in medical diagnosis is under investigation.

Purpose of the Study:

  • To compare the diagnostic accuracy of internal medicine residents using internet search engines (Google) versus experienced nephrology faculty and fellows using heuristic methods.
  • To evaluate the role of 'Google' mode of thinking in diagnosing renal diseases.

Main Methods:

  • A small study involving internal medicine residents, nephrology fellows, and attending nephrology faculty.
  • Residents used internet search engines with keywords to diagnose renal diseases.
  • Experienced clinicians used heuristic methods without internet access.

Main Results:

  • Overall, residents using Google diagnosed renal diseases less accurately than attending physicians but with similar accuracy to nephrology fellows.
  • In subgroup analyses of common and rare diseases, residents' diagnostic accuracy was lower than experts but higher than fellows.
  • Residents' diagnostic accuracy for renal diseases was comparable to that of nephrology fellows.

Conclusions:

  • Internet search engines can be a tool for novice clinicians, but do not consistently outperform experienced physicians in diagnosing renal diseases.
  • The diagnostic performance of novices using search engines is comparable to intermediate trainees (nephrology fellows).
  • Further research is needed to understand the optimal integration of internet resources into clinical diagnostic processes.