Peering through the shadows: Diagnostic bias and the impact on clinical decision making Imaging and reflect on how the

and reflect on how the latest trends also bring challenges but don't worry

You will be also offered help in communicating costs to clients

and the key areas of herd health and performance where data analysis can help to target interventions and investment

unless we include welfare on a level footing with other key issues and take an 'in the round' approach (rather than

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Peering through the shadows: Diagnostic bias and the impact on clinical decision making Imaging and reflect on how theDiagnostic bias leading to diagnostic errors is a common occurrence for all clinicians but every one of us can be blind to it and its consequences on our patients, our clients and ourselves. Examples of diagnostic bias include availability bias, anchoring bias, framing bias, confirmation bias and premature closure. In this lecture we will discuss the types of diagnostic bias that can occur in clinical practice and how they can affect clinical decision