BACKGROUND Computer-based clinical decision support systems (CDSSs) vary greatly in design and function. A taxonomy for classifying CDSS structure and function would help efforts to describe and understand the variety of CDSSs in the literature, and to explore predictors of CDSS effectiveness and generalizability. OBJECTIVE To define and test a taxonomy for characterizing the contextual, tech...

The constantly workload increase has led to the development of Computerised Decision Support Systems (CDSS) for a better management of patient care. Many clinical situations have been investigated to verify the utility of CDSS: few have demonstrated stable effects. One area where success has been reported is the field of oral anticoagulation management. CDSS system has demonstrated to be able t...

OBJECTIVE This paper investigated the cost-effectiveness of a computer-assisted Clinical Decision Support System (CDSS) in the identification of maternal complications in Ghana. METHODS A cost-effectiveness analysis was performed in a before- and after-intervention study. Analysis was conducted from the provider's perspective. The intervention area was the Kassena- Nankana district where comp...

Clinical decision-support systems (CDSSs) comprise systems as diverse as sophisticated platforms to store and manage clinical data, tools to alert clinicians of problematic situations, or decision-making tools to assist clinicians. Irrespective of the kind of decision-support task CDSSs should be smoothly integrated within the clinical information system, interacting with other components, in p...

In the realm of healthcare, utilization clinical decision support systems (CDSSs) has become increasingly prevalent as a means providing medical professionals with computer-based tool that grants them access to pertinent data and expertise, thereby aiding in their ability make informed decisions. The potential applications CDSS are numerous, ranging from disease diagnosis creation treatment pro...

Integrating medical knowledge and advances into the clinical setting is often difficult due to the complexity of the involved algorithms and protocols. Clinical decision support systems (CDSS) assist the clinician in applying new information to patient care through the analysis of patient-specific clinical variables. Many of these systems are used to enhance diagnostic efforts and include compu...

Many safety-critical systems have a human-in-the-loop for some part of their operation, and rely on the higher cognitive abilities of the human operator for fault diagnosis and risk-management decision-making. Although these operators are often experts on the processes being controlled, they still sometimes misjudge situations or make poor decisions. There is thus potential for Safety Decision ...

BACKGROUND Vital sign data are important for clinical decision making in emergency care. Clinical Decision Support Systems (CDSS) have been advocated to increase patient safety and quality of care. However, the efficiency of CDSS depends on the quality of the underlying vital sign data. Therefore, possible factors affecting vital sign data quality need to be understood. This study aims to explo...

Welcome to this special issue of the Information Technology and Management journal on knowledge based decision support systems. The main goal for this special issue is to be a timely vehicle for publishing selected research papers from academia and practitioners in different industries on this emerging topic. Knowledge-based decision support systems are systems designed to ensure more precise d...