Fostering diagnostic accuracy in a medical intelligent tutoring system

Diagnostic classification is an important part of clinical care, which is often the main determinant of treatment and prognosis. Clinicians. under- or over-confidence in their performance on diagnostic tasks can result in diagnos- tic errors which can lead to delay in appropriate treatment and unnecessary in- crease in the cost of medical care. This paper presents a version of SlideTutor aiming to reduce pathologists. and dermatopathologists. bias in diagnostic deci- sion-making. This is accomplished by frequently prompting them to make met- acognitive judgments of confidence, presenting them with the expert diagnostic solution path for each case, and de-biasing them by making them conscious of their metacognitive biases. This paper describes and summarizes the functional- ities of SlideTutor, its cognitive training, tutoring phase, expert feedback, meta- cognitive intervention, and the open learner model.