Predicting misdiagnoses in the transition from competence to expertise

预测从能力到专业知识转变过程中的误诊

• 批准号: DP180100425
• 负责人: Prof Mark Wiggins
• 金额: $ 29.31万
• 依托单位: Macquarie University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-02-13 至 2021-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180100425
• 关键词: Predicting; misdiagnoses; transition; competence; expertise

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.

这个项目的目的是测试线索的利用是否预测在技能习得过程中容易误诊。该项目采用最新开发的线索利用措施，结合创新的在线场景和纵向设计，来衡量合格放射科医生、病理学家和飞行员在获得专业知识时不同类型的误诊。在医学、航空、能源、运输和国防领域的潜在应用，预期的结果将促进干预措施，如有针对性的培训和提供技术支持，这将指导诊断过程，从而减少误诊对个人和基础设施的影响。