Predicting Misdiagnoses in the Transition from Competence to Expertise

This project addresses the burden of misdiagnosis in medical and non-medical environments by testing whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. The project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. The expected outcomes include a generalisable model and an adaptable and cost-effective method to test vulnerability to misdiagnosis post-qualification, which will yield significant benefits in enabling targeted training and support and reducing the occurrence and impact of misdiagnoses.