There is clear room for improvement in all existing clinical decision support systems (CDSS) to more closely meet the needs of their target users and work processes. Ongoing evaluation serves not just to document benefits, but also to provide feedback to the CDSS engineering process to create more usable and effective tools. This paper discusses the challenges of achieving evaluation data that ...

Medical errors are both costly and harmful. Medical errors cause thousands of deaths worldwide each year. A clinical decision support system (CDSS) offers opportunities to reduce medical errors as well as to improve patient safety. One of the most important applications of such systems is in diagnosis and treatment of heart diseases (HD) because statistics have shown that heart disease is one o...

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In the chapter we are presenting the theoretical background, state of the art and modern research trends of Clinical decision support systems (CDSS). The challenges for success are derived and our experience is described with the presentation of a good practice example of employing CDSS in telemedicine. CDSS systems are increasingly often integrated into telemedicine clinical practice. In addit...

Computer-based decision support (CDSS) systems can deliver real patient care and increase chances of long-term survival in areas of chronic disease management prone to poor control. One such CDSS, for the management of warfarin, is described in this paper and the outcomes shown. Data is derived from the running system and show a performance consistently around 20% better than the applicable gui...

Extensive utilization of point-of-care decision support systems will be largely dependent on the development of user interaction capabilities that make them effective clinical tools in patient care settings. This research identified critical design features of point-of-care decision support systems that are preferred by physicians, through a multi-method formative evaluation of an evolving prot...

Within orthopædics, clinicians routinely take multiple measurements on patients during the course of their treatment, often repeating the same measurements before and after operations, and subsequently at periodic follow-up consultations. This data combined with additional factors gives a wealth of information, resulting in a high-dimensional data set with a mixture of data types and a longitud...

The programming language Arden Syntax is especially adapted to the needs of computer-based clinical decision support. Recently, an extension of Arden Syntax, named Fuzzy Arden Syntax, was proposed by the authors. Fuzzy Arden Syntax is a conservative extension of Arden Syntax and offers special functionality to process gradual information. The background is the observation that in medicine we fr...

confronting healthcare organizations in their quest to encourage enthusiastic adoption of CPOE and clinical decision support (CDS) at the point of care. If too many alerts are triggered when medications or tests are being order, the likelihood is very high physicians will eventually tune out or actively override even high severity alerts. Alert fatigue can also cause physicians to bypass or rem...

Clinical Decision Support Systems (CDSS) have been shown to improve clinical performance and patient outcomes, but the failure rate of such systems is still over 50 percent. To contribute to a wider understanding of issues surrounding CDDS acceptance, we performed a systematic review of studies that evaluated CDSS implementations in clinical care to determine the factors that are associated wit...