Clinical decision support systems are important healthcare systems that help in improving healthcare quality and in reducing cost. These systems have multiple levels of outcomes on the individual, group, organization, and society levels. However, despite the abundant studies conducted to evaluate CDSS, most of these studies failed to recognize these multiple levels of impact and mostly focused ...

OBJECTIVE To investigate whether the use of the think-aloud method with propositional analysis could be helpful in the design of a Clinical Decision Support System (CDSS) providing guideline recommendations about long-term follow-up of childhood cancer survivors. MATERIALS AND METHODS The think-aloud method was used to gain insight into healthcare professionals' information processing while r...

The number of clinical applications usedin the medical field to reinforce and support physiciansin the applicationof their medical knowledge keeps growing tremendously. But some of the problems that occur at the same time are the efficiency of those applications and the ability of the practitioners to make the right choices regarding the feedback they received from their utilization. Clinical D...

BACKGROUND Identifying the appropriate long-term anti-thrombotic therapy following acute ischaemic stroke is a challenging area in which computer-based decision support may provide assistance. AIM To evaluate the influence on prescribing practice of a computer-based decision support system (CDSS) that provided patient-specific estimates of the expected ischaemic and haemorrhagic vascular even...

This paper reports research on improving decisions about hospital discharges - decisions that are now made by physicians based on mainly subjective evaluations of patients' discharge status. We report an experiment on uptake of our clinical decision support software (CDSS) which presents physicians with evidence-based discharge criteria that can be effectively utilized at the point of care wher...

Introduction Clinical Decision Support Software (CDSS) can improve the quality and safety of care by providing patient-specific diagnostic treatment recommendations. However, robust evaluation is required to ensure that recommendations provided are clinically valid, up-to-date, relevant a specific clinical context. Most studies assess CDSS performance from perspective end-user requirements. But...

OBJECTIVE Computer-based clinical decision support systems (CDSSs) vary greatly in design and function. Using a taxonomy that we had previously developed, we describe the characteristics of CDSSs reported in the literature. METHODS We searched PubMed and the Cochrane Library for randomized controlled trials (RCTs) published in English between 1998 and 2003 that evaluated CDSSs. We coded each ...