OBJECTIVES The use of clinical decision support systems (CDSS) can improve the overall safety and quality of health care delivery, but may also introduce machine-related errors. Recent concerns about the potential for CDSS to harm patients have generated much debate, but there is little research available to identify the nature of such errors, or quantify their frequency or clinical impact. M...

Electronic negotiations can involve complex communication and decision processes if complex goods or service are involved. In such cases, an electronic negotiation support system (NSS) extended by a decision support (DS) component can provide valuable help for the users. However, since users have a bounded rationality, such complex processes will never be strictly linear nor rational. Therefore...

This paper reviews the problems, approaches and analytical models on project control systems and discusses the possible research extensions. The discussion could help to identify open problems and research areas with wide practical applications which require further research. Furthermore, the conclusions summarized might serve as a useful base for developing decision support systems (DSS) that ...

This paper presents an ontology based formalism of existing system for TB (Tuberculosis) control and management in India that is RNTCP (Revised National TB Control Programme). India in recent years has been highest TB burden country. There are some geographical areas of India which are badly affected by TB. The formalism presented in the paper will help in further investigation /research of a n...

In previous work, we showed that the critical engagement with a decision support system during its implementation by a project team is an important antecedent for the successful later use of the technology. However, the mechanisms that trigger such critical engagement are so far not well understood. Drawing on Heidegger’s modes of Being-in-the-world this paper provides a theoretical frame to un...

There are various frameworks for decision support system (DSS) that have been formulated. Such frameworks describe the characteristics of DSS. In this paper a proposed effectiveness DSS framework for e-government is presented. This is done by integrating DSS components to support managers and decision makers in e-government. The structure of the proposed DSS framework is discussed. It is expect...

This article describes methods for online model-based diagnosis of subsystems of the advanced life support system (ALS). The diagnosis methodology is tailored to detect, isolate, and identify faults in components of the system quickly so that fault-adaptive control techniques can be applied to maintain system operation without interruption. We describe the components of our hybrid modeling sche...

Clinical decision-support systems (CDSSs) are computer programs that are designed to provide expert support for health professionals making clinical decisions. The goal of these systems is to help health professionals analyze patient data and make decisions regarding diagnosis, prevention, and treatment of health problems. This article discusses the characteristics of such systems, addresses th...

Classification may not be reliable for several reasons: noise in the data, insufficient input information, overlapping distributions and sharp definition of classes. Faced with K possibilities a decision support system may still be useful in such cases if instead of classification elimination of improbable classes is done. Eliminators may be constructed using classifiers assigning new cases to ...

The Brisbane Cardiac Consortium Clinical Support Systems Program used multiple strategies in optimising quality of care of patients with either of two cardiac conditions. One of these strategies was the development and active implementation of decision support systems centred on evidence-based, locally agreed clinical practice guidelines. Our experience in undertaking this task highlighted nume...