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Collective intelligence improves probabilistic diagnostic assessments.

Nathan R Stehouwer1,2,3, Keith W Torrey4,5,6, Michael S Dell1,3

  • 1Internal Medicine and Pediatrics, University Hospitals Rainbow Babies & Children's Hospital, Cleveland, OH, USA.

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Summary
This summary is machine-generated.

Collective intelligence, or "wisdom of the crowd," significantly improves diagnostic accuracy by aggregating multiple judgments. This approach enhances probabilistic diagnostic forecasts, outperforming individual assessments and reducing diagnostic errors.

Keywords:
collective intelligencediagnostic forecastingprobabilistic diagnostic reasoning

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Area of Science:

  • Medical Decision Making
  • Cognitive Science
  • Data Analysis

Background:

  • Collective intelligence leverages the
  • wisdom of the crowd
  • to enhance judgment quality through aggregated individual inputs.
  • Its application to probabilistic diagnostic judgments is evaluated here.

Purpose of the Study:

  • To assess the effectiveness of collective intelligence strategies in improving probabilistic diagnostic judgments.
  • To compare collective intelligence performance against individual and team-based diagnostic forecasts.

Main Methods:

  • Two series of clinical cases requiring probabilistic diagnostic assessments were used.
  • Forecast quality was measured using Brier scores, comparing predictions to observed outcomes.
  • Individual and collective intelligence judgments were compared.

Main Results:

  • Collective intelligence forecasts consistently outperformed nearly all individual forecasters and teams.
  • Performance improvements were attributed to enhanced resolution and calibration of probabilistic assessments.
  • Averaging two independent inputs yielded 11-12% improvement; four inputs yielded 15% improvement, with diminishing returns thereafter.

Conclusions:

  • Collective intelligence strategies show significant promise for enhancing diagnostic accuracy.
  • This approach offers a viable method for reducing diagnostic errors in clinical practice.