Background: Clinician compliance with clinical guidelines in the treatment of patients with Hepatitis C (HCV) has been reported to be as low as 18.5%. Treatment is complex and patient compliance is often inconsistent thus, active clinician surveillance and support is essential to successful outcomes. A clinical decision support system (CDSS) embedded within an electronic health record can provi...

BACKGROUND Clinician compliance with clinical guidelines in the treatment of patients with Hepatitis C (HCV) has been reported to be as low as 18.5%. Treatment is complex and patient compliance is often inconsistent thus, active clinician surveillance and support is essential to successful outcomes. A clinical decision support system (CDSS) embedded within an electronic health record can provid...

OBJECTIVES First, to estimate the added value of a clinical decision support system (CDSS) in the performance of medication reviews in hospitalised elderly. Second, to identify the limitations of the current CDSS by analysing generated drug-related problems (DRPs). METHODS Medication reviews were performed in patients admitted to the geriatric ward of the Zuyderland medical centre. Additional...

OBJECTIVE To examine the effect of computerized decision support systems (CDSSs) on nursing performance and patient outcomes. METHOD Fifteen databases, including Medline and CINAHL, were searched up to May 2006 together with reference lists of included studies and relevant reviews. Randomized controlled trials, controlled clinical trials, controlled before and after studies and interrupted ti...

OBJECTIVE Maternal and neonatal mortality is high in sub-Saharan Africa. To support Healthcare Workers (HCWs), a computerized decision support system (CDSS) was piloted at six rural maternal care units in Burkina Faso. During the two years of the study period, it was apparent from reports that the CDSS was not used regularly in clinical practice. This study aimed to explore the reasons why HCWs...

Introduction: Most modern medical issues are inherently complicated and accurate decisions are not always likely to be made based on logical reasons. Furthermore, the huge volume of information relevant to a simple diagnostic area makes this decision making even more troublesome. Hence, with the advent of technology, there is an ever increasing need for the Clinical Decision Support System (CDS...

Clinical Decision Support Systems (CDSS) have been used widely since 2000s to improve the healthcare quality. CDSS can be utilized to support healthcare services as a tool to diagnose, predict, as well as to provide clinical interpretation, alert, and reminder. There are many researches of CDSS implementation on literatures but not many of them present the evidence of CDSS successful implementa...

Clinical Decision Support Systems (CDSS) have the potential to replace painful, invasive, and costly procedures, to optimize medical decisions, improve medical care, and reduce costs. An even better strategy is to make use of a knowledge discovery in data approach, with the aid of artificial intelligence tools. This results in transforming conventional CDSS in Intelligent Clinical Decision Supp...

OBJECTIVES To review the recent research literature in clinical decision support systems (CDSS). METHODS A review of recent literature was undertaken, focussing on CDSS evaluation, consumers and public health, the impact of translational bioinformatics on CDSS design, and CDSS safety. RESULTS In recent years, researchers have concentrated much less on the development of decision technologie...