Diagnostic suspicion bias

Knowledge about a patient can impact the diagnostic process that a physician goes through, and therefore can impact the outcome of that diagnostic process.

For example, a patient presenting to the emergency department without any classic coronary risk factors might get a truncated cardiac workup (no repeat troponins, or no follow-up testing) and therefore ACS might be under-diagnosed in these patients. On the other hand, a patient with multiple coronary risk factors might get a very extensive workup, even with atypical chest pain. Resulting research could therefore be biased toward the traditional risk factors, and alternative risk factors could be hidden.

This is a type of selection bias.


Sackett DL. Bias in analytic research. Journal of chronic diseases. 1979; 32(1-2):51-63. PMID: 447779

Cite this article as: Justin Morgenstern, "Diagnostic suspicion bias", First10EM blog, April 10, 2018. Available at: https://first10em.com/ebm/diagnostic-suspicion-bias/.
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