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...

UNLABELLED OBJECTIVE To compare the clinical relevance of medication alerts in a basic and in an advanced clinical decision support system (CDSS). DESIGN A prospective observational study. MATERIALS AND METHODS We collected 4023 medication orders in a hospital for independent evaluation in two pharmacotherapy-related decision support systems. Only the more advanced system considered patient...

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...

Shortage of medical professionals in the rural area has been one of the reasons why maternal mortality is still very high. Midwife family program had been introduced to overcome the shortage but the lack of skills in recognizing high risk pregnancy becomes another factor of high maternal mortality rate. A good prenatal care program will help to identify the danger in time and provide early mana...

OBJECTIVE To summarize excellent research and to select best papers published in 2012 in the field of computer-based decision support in healthcare. METHODS A bibliographic search focused on clinical decision support systems (CDSSs) and computer provider order entry was performed, followed by a double-blind literature review. RESULTS The review process yielded six papers, illustrating vario...

BACKGROUND Interventions to support decision-making can reduce inappropriate antibiotic use for acute respiratory infections (ARI), but they may not be sustainable. The objective of the study is to evaluate the long-term effectiveness of a clinical decision-support system (CDSS) interposed at the time of electronic (e-) prescriptions for selected antibiotics. METHODS This is a retrospective, ...

Much of the research on eXplainable Artificial Intelligence (XAI) has centered providing transparency machine learning models. More recently, focus human-centered approaches to XAI increased. Yet, there is a lack practical methods and examples integration human factors into development processes AI-generated explanations that humans prove uptake for better performance. This paper presents case ...

BACKGROUND Guidelines exist for chronic kidney disease (CKD) but are not well implemented in clinical practice. We evaluated the impact of a guideline-based clinical decision support system (CDSS) on laboratory monitoring and achievement of laboratory targets in stage 3-4 CKD patients. METHODS We performed a matched cohort study of 12,353 stage 3-4 CKD patients whose physicians opted to recei...