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Effect of Having, but Not Consulting, a Computerized Diagnostic Aid.

Mark V Pezzo1, Brenton E D Nash1, Pierre Vieux1

  • 1University of South Florida, St. Petersburg, FL, USA.

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|May 10, 2021
PubMed
Summary

Physicians’ decisions to ignore computerized diagnostic aids (CDAs) did not impact competence ratings. However, algorithm aversion may influence trust and adoption of these diagnostic tools in clinical practice.

Keywords:
algorithm aversionartificial intelligencecomputerized decision support systemsdecision aidsindividual differencesmyth of expertisenumeracy

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Area of Science:

  • Medical Informatics
  • Cognitive Psychology
  • Human-Computer Interaction

Background:

  • Physicians exhibit reluctance towards using computerized diagnostic aids (CDAs).
  • Limited experimental research exists on the impact of *not* consulting readily available CDAs.

Purpose of the Study:

  • To experimentally investigate the effects of physicians’ non-consultation of CDAs on perceived competence.
  • To explore factors influencing algorithm aversion and CDA adoption in clinical settings.

Main Methods:

  • Two experiments were conducted involving participants evaluating diagnostic scenarios.
  • Experiment 1 compared competence ratings when a CDA was available but unconsulted versus when no CDA was mentioned.
  • Experiment 2 manipulated reasons for non-consultation and CDA accuracy, assessing competence and negligence.

Main Results:

  • Failure to consult a CDA did not significantly affect physician competence ratings.
  • Non-consultation of CDAs did not lower physician ratings, even when the CDA was superior.
  • Physician ratings decreased when they distrusted the CDA but surprisingly increased if they believed they knew the CDA's output.

Conclusions:

  • Physicians' failure to consult CDAs does not necessarily reduce perceived competence.
  • Algorithm aversion and trust dynamics play a crucial role in CDA adoption.
  • Findings have implications for improving clinical practice and CDA integration.