[Cite as http://purl.org/au-research/grants/arc/LP160100211]
Researchers Prof Mark Wiggins; Prof Johanna Westbrook; A/Prof Shayne Loft; Prof Jeffrey Braithwaite; Prof William Helton; Mr Geoff Burgess; Mr Eric Sonego; Mr Leylann Hinch; Mr Colin Sharp; Mr Perrin Stephenson; Mr Shanmugesh Paramasibam; Mr David Kowal; Mr Paul Elliott; Ms Tasnim Abdel-Razaq
Brief description This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.
Funding Amount $362,000
Funding Scheme Linkage Projects