Related Experiment Video
Updated: Jun 19, 2026

Optimization, Design and Avoiding Pitfalls in Manual Multiplex Fluorescent Immunohistochemistry
Published on: July 26, 2019
Misleading one detail: a preventable mode of diagnostic error?
Shahar Arzy1, Mayer Brezis, Salim Khoury
1Department of Neurology, Hadassah Hebrew University Hospital, Jerusalem, Israel. shahar.arzy@hcuge.ch
Rationale, Aims And Objectives:
Despite advances in our understanding of cognitive biases in clinical practice, little is known about correction or prevention of diagnostic errors. The presence of a single misleading detail may lead clinicians down a cognitive and actual path toward an incorrect diagnosis.
Methods:
In a large teaching hospital, we surveyed 51 attending doctors in internal medicine, presenting each with 10 clinical vignettes and soliciting their diagnosis of the condition leading to the presentation. Each of the 10 clinical cases included a single misleading detail.
Results:
This survey elicited a wrong diagnosis in 90% of cases, which was reduced to 30% when omitting the misleading detail from the vignette. Diagnostic accuracy did not improve by warning doctors about potentially misleading information. Asking doctors to identify a leading diagnostic detail and then to formulate an alternative diagnosis after omission of the detail, significantly reduced diagnostic error rate by nearly 50%.
Conclusion:
Systematic re-examination of leading diagnostic clues may help to reduce errors in diagnosis.
Related Concept Videos
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Errors occurring during blood pressure monitoring
Several factors...
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Types of Errors: Detection and Minimization
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Errors In Hypothesis Tests
Errors in Taping
