Medical decision-support systems in which uncertainty plays an essential role are increasingly based on the formalism of probabilistic networks. Although this formalism is very powerful, the construction of actual networks is not straightforward, and requires the availability of clearly structured medical domain models as a starting point. In this paper it is argued that medical pathophysiologi...

BACKGROUND Clinical decision support systems can prevent knowledge-based prescription errors and improve patient outcomes. The clinical effectiveness of these systems, however, is substantially limited by poor user acceptance of presented warnings. To enhance alert acceptance it may be useful to quantify the impact of potential modulators of acceptance. METHODS We built a logistic regression ...

While a variety of information technology (IT) acceptance and use models have been extensively examined and validated in numerous contexts, most studies have been conducted in western cultures, and thus not much is known about the probable moderating role of culture on the relationships between the constructs in those models. To fill this gap in the literature, we propose to empirically investi...

Clinical Decision Support Systems (CDSS) are typically constructed from expert knowledge and are often reliant on inputs that are difficult to obtain and on tacit knowledge that only experienced clinicians possess. Research described in this article uses empirical results from a clinical trial of a CDSS with a decision model based on expert knowledge to show that there are differences in how cl...

Introduction/Background A large academic hospital organization with seven affiliates decided to transition from multiple home grown and commercial systems to one commercial electronic health record (EHR). The task to develop a standardized request form that would capture necessary elements of clinical decision support (CDS) was essential to inventory current state CDS, to migrate current state ...

Preclinical development of and research on potential Middle East respiratory syndrome coronavirus (MERS-CoV) medical countermeasures remain preliminary; advancements are needed before most countermeasures are ready to be tested in human clinical trials. Research priorities include standardization of animal models and virus stocks for studying disease pathogenesis and efficacy of medical counter...