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The Potential of Collective Intelligence in Emergency Medicine: Pooling Medical Students’ Independent Decisions Improves Diagnostic Performance
- Source :
- Medical Decision Making
- Publication Year :
- 2017
- Publisher :
- SAGE Publications, 2017.
-
Abstract
- Evidence suggests that pooling multiple independent diagnoses can improve diagnostic accuracy in well-defined tasks. We investigated whether this is also the case for diagnostics in emergency medicine, an ill-defined task environment where diagnostic errors are rife.A computer simulation study was conducted based on empirical data from 2 published experimental studies. In the computer experiments, 285 medical students independently diagnosed 6 simulated patients arriving at the emergency room with dyspnea. Participants' diagnoses (n = 1,710), confidence ratings, and expertise levels were entered into a computer simulation. Virtual groups of different sizes were randomly created, and 3 collective intelligence rules (follow-the-plurality rule, follow-the-most-confident rule, and follow-the-most-senior rule) were applied to combine the independent decisions into a final diagnosis. For different group sizes, the performance levels (i.e., percentage of correct diagnoses) of the 3 collective intelligence rules were compared with each other and against the average individual accuracy.For all collective intelligence rules, combining independent decisions substantially increased performance relative to average individual performance. For groups of 4 or fewer, the follow-the-most-confident rule outperformed the other rules; for larger groups, the follow-the-plurality rule performed best. For example, combining 5 independent decisions using the follow-the-plurality rule increased diagnostic accuracy by 22 percentage points. These results were robust across case difficulty and expertise level. Limitations of the study include the use of simulated patients diagnosed by medical students. Whether results generalize to clinical practice is currently unknown.Combining independent decisions may substantially improve the quality of diagnoses in emergency medicine and may thus enhance patient safety.
- Subjects :
- Adult
Male
Medical diagnostic
Students, Medical
Decision Making
Pooling
Diagnostic accuracy
Young Adult
03 medical and health sciences
0302 clinical medicine
Diagnosis
Humans
Medicine
030212 general & internal medicine
Medical diagnosis
business.industry
Health Policy
Collective intelligence
food and beverages
030208 emergency & critical care medicine
Data science
Wisdom of crowds
Emergency Medicine
Female
Artificial intelligence
business
Subjects
Details
- ISSN :
- 1552681X and 0272989X
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Medical Decision Making
- Accession number :
- edsair.doi.dedup.....57931f1b385ef36d40352eb412048f69
- Full Text :
- https://doi.org/10.1177/0272989x17696998