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: To validate a smartphone application-based clinical decision support system (CDSS) for risk assessment of venous thromboembolism (VTE) in hospitalized medical patients. Setting: The medical department of a teaching hospital in Jeddah, Saudi Arabia. Participants: 97 patients, admitted to the medical ward during the month of December 2015. Aim of the study: A smart phone application ba...

BACKGROUND The 1999 Institute of Medicine (IOM) report To Err is Human alerted the healthcare industry and the public to the lack of consistency in the delivery of quality care to the US population. Clinical decision support systems (CDSS) have become a leading response to this report, and to the growing demand for the promotion of standards-based care delivery. The objective of this paper is t...

BACKGROUND Clinical decision support software (CDSS) solutions can automatically identify drug interactions and thereby aim to improve drug safety. However, data on the comparative performance of different CDSS to detect and appropriately classify interactions in real-life prescription datasets is limited. OBJECTIVE The aim of this study was to compare the results from two different CDSS anal...

Automation bias (AB)--the tendency to over-rely on automation--has been studied in various academic fields. Clinical decision support systems (CDSS) aim to benefit the clinical decision-making process. Although most research shows overall improved performance with use, there is often a failure to recognize the new errors that CDSS can introduce. With a focus on healthcare, a systematic review o...

We propose CONFlexFlow (Clinical cONtext based Flexible workFlow) as a novel approach for integrating clinical pathways into Clinical Decision Support Systems (CDSS). It recognizes that clinical pathways involve frequent deviations and require considerable flexibility. Thus, integration of flexible pathways is critical for the success of CDSS. Further, it is based on a better understanding of c...

Machine Learning and Artificial Intelligence (AI) more broadly have great immediate future potential for transforming almost all aspects of medicine. However, in many applications, even outside medicine, a lack transparency AI applications has become increasingly problematic. This is particularly pronounced where users need to interpret the output systems. Explainable (XAI) provides rationale t...

This paper describes a prototype clinical decision support system (CDSS) for risk stratification of patients with cardiac chest pain. A newly developed belief rule-based inference methodology-RIMER was employed for developing the prototype. Based on the belief rule-based inference methodology, the prototype CDSS can deal with uncertainties in both clinical domain knowledge and clinical data. Mo...

Introduction In the past decade, health technology assessment (HTA) has narrowed its scope to analysis of mainly clinical and economic benefits. However, twenty-first century challenges require need for more holistic assessments obtain accurate recommendations decision-making, as it was in HTA's foundations. VALues Doing Assessments TEchnologies (VALIDATE) methodology approaches complex technol...

According to Pakistan Medical and Dental Council (PMDC), Pakistan is facing a shortage of approximately 182,000 medical doctors. Due to the shortage of doctors; a large number of lives are in danger especially pregnant woman. A large number of pregnant women die every year due to pregnancy complications, and usually the reason behind their death is that the complications are not timely handled....