Predicting misdiagnoses in the transition from competence to expertise

这个项目的目的是测试线索的使用是否预测在技能获得过程中容易被误诊。该项目使用新开发的线索利用措施，加上创新的在线情景和纵向设计，在合格的放射科医生、病理学家和飞行员获得专业知识的过程中衡量不同类型的误诊。由于可能应用于医学、航空、能源、交通和国防，预期结果将促进干预措施，如有针对性的培训和提供技术支持，以指导诊断过程，从而减少误诊对个人和基础设施的影响。

This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This 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. With potential applications in medicine, aviation, energy, transportation, and defence, the expected outcomes will facilitate interventions such as targeted training and the provision of technical support, that will guide the diagnostic process and thereby reduce the impact of misdiagnoses on individuals and infrastructure.