At present, the increased efficiency of drug therapy and prevention of adverse drug events (ADE) is one of the most important challenges that must face any National Health System. The purpose of the study is the development of an intelligent tool that integrates medical record, clinical laboratory data and pharmacology treatment, and generates recommendations for a safety and effective prescrip...

One of the high-growing areas in medicine is research and development of advanced IT technologies for clinical decision support. Clinical decision support system (CDSS) must be able to store the necessary clinical data and also to analyze this data, and process and interpret the results for a specialist. This article is focused on interdisciplinary research and development challenges in develop...

OBJECTIVE To describe the activities performed by people involved in clinical decision support (CDS) at leading sites. MATERIALS AND METHODS We conducted ethnographic observations at seven diverse sites with a history of excellence in CDS using the Rapid Assessment Process and analyzed the data using a series of card sorts, informed by Linstone's Multiple Perspectives Model. RESULTS We iden...

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...

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...

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...

During the post-World War II era there has been a huge boom in introduction of new medical therapies and in improvement of health care systems. New methods are used to increase the efficiency of medical treatment by combination of knowledge derived from the literature, clinical guidelines made on practice-based evidence, and a dialogue between healthcare professionals, clinicians and patients. ...

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...

Clinical decision support (CDS) systems show promise for enhancing patient safety, but they require rigorous evaluation before they can be implemented widely. We developed a software application for use with personal digital assistants (PDAs) that models patient-specific dose responses to help physicians predict steady-state warfarin dosing requirements and steer patients to a therapeutic level...