Objective This paper aims to summarise the evidence supporting the role of experience‐
based, non‐analytic reasoning (NAR) or pattern recognition as a central feature of expert …

This paper reviews clinical decision support systems (CDSS) literature, with a focus on
evaluation. The literature indicates a general consensus that clinical decision support …

Clinical decision support systems (CDSS) are computer systems designed to impact
clinician decision making about individual patients at the point in time that these decisions …

Improving diagnosis and treatment depends on clinical monitoring and computing. Clinical
decision support systems (CDSS) have been in existence for over 50 years. While the …

Background Diagnostic errors are costly and they can contribute to adverse patient
outcomes, including avoidable deaths. Differential diagnosis (DDX) generators are …

BackgroundDiagnostic errors can have tremendous consequences because they can result
in a fatal chain of wrong decisions. Experts assume that physicians' desire to confirm a …

Use of computer based decision tools to aid clinical decision making, has been a primary
goal of research in biomedical informatics. Research in the last five decades has led to the …

The model selection strategy is an important determinant of the performance and
acceptance of a medical diagnostic decision support system based on supervised learning …

OBJECTIVE:: Clinical decision support systems are on the verge of becoming routine
software tools in clinical settings. We investigate the question of how physicians react when …

Modern medical environments have seen an increase in technological complexity and
pressures of handling more patients with fewer resources, resulting in higher demands on …