Clinical expertise and cognitive reflection predict fewer misconceptions in Bayesian diagnostic reasoning

In an online survey examining medical decision-making, researchers found that clinical expertise and cognitive reflection, rather than formal medical education alone, predicted fewer misconceptions in Bayesian diagnostic reasoning. The study evaluated how well participants could estimate a diagnostic test’s positive predictive value using sensitivity, specificity, and disease prevalence, comparing performance across differing levels of medical training and cognitive reflection.

Prior research has repeatedly confirmed that even experienced medical professionals often fail to correctly solve Bayesian diagnostic problems. While earlier investigations predominantly focused on altering task presentation formats, such as introducing natural frequencies or visual representations, the authors introduced the Medical Bayesian Performance Score to provide a confidence-weighted assessment. This scoring system was designed to distinguish between missing concepts and confidently held misconceptions.

Participants in the online survey completed eight medical Bayesian diagnostic tasks and rated their subjective confidence after submitting each response. The researchers then conducted t tests across two independent variables: general medical knowledge, comparing a group of 30 physicians with a control group of 56 students, and clinical expertise within the physician cohort, comparing 19 specialists and senior physicians with 11 resident physicians. In addition, participants completed the Cognitive Reflection Test to assess correlations between cognitive reflection scores and diagnostic performance.

The statistical analyses revealed that physicians did not achieve significantly higher Medical Bayesian Performance Score values compared to the student control group. However, within the medical cohort, specialists and senior physicians scored significantly higher than resident physicians. Across all participating groups, the average performance scores were negative, reflecting that confidence-weighted incorrect responses outweighed confidence-weighted correct responses. Furthermore, higher scores on the Cognitive Reflection Test correlated significantly with higher Medical Bayesian Performance Score values.

The study authors concluded that the Medical Bayesian Performance Score offers a complementary perspective to conventional accuracy metrics by linking Bayesian reasoning errors directly to conceptual change theory. Because formal medical knowledge alone was not associated with a reduction in misconceptions, the researchers suggested that future educational research should evaluate targeted conceptual change interventions, such as refutation-based training, to support Bayesian diagnostic reasoning in medical training.

Subject of Research: Predictors of misconceptions in medical Bayesian diagnostic reasoning

Article Title: Clinical expertise and cognitive reflection predict fewer misconceptions in Bayesian diagnostic reasoning

Article References: Hefter, M. H., Hinkel, N. B., & Hinkel, A. (2026). Clinical expertise and cognitive reflection predict fewer misconceptions in Bayesian diagnostic reasoning. BMC Medical Education, 26(1), Article 1806. https://doi.org/10.1186/s12909-026-10764-z

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10764-z

Keywords: Bayesian diagnostic reasoning, clinical expertise, cognitive reflection, medical education, diagnostic testing, conceptual change, physicians, decision making, Clinical, expertise, cognitive, reflection