Agent-based collaborative decision support is a methodology of utilizing domain specific intelligent systems, interacting in a common environment, to partner with one or more human decision makers to reach a consensus solution to a complex problem. An example is the recently developed Collaborative Infrastructure Assessment Tool (CIAT) that provides a collaborative planning facility management ...

One of the high-growing areas in medicine is research and development of advanced IT technologies for clinical decision support. Clinical decision support system (CDSS) must be able to store the necessary clinical data and also to analyze this data, and process and interpret the results for a specialist. This article is focused on interdisciplinary research and development challenges in develop...

BACKGROUND AND PURPOSE National and local data on treatment choices indicate under utilization ofbreast conserving surgery by women with early stage breast cancer, while current literature suggests that the issue may relate to inadequacies in efforts to educate them about treatment options. The purpose of this four-year project is to develop and test an interactive, multimedia, computerized dec...

The paper deals with ideas of multicriteria decision support with the use of computer based systems. A negotiation problem is considered related to joint realization of a risky innovative project by two parties. It is considered as a multicriteria bargaining problem. A procedure enabling interactive multicriteria analysis and derivation of mediation proposals is proposed. Some results of experi...

At present, the increased efficiency of drug therapy and prevention of adverse drug events (ADE) is one of the most important challenges that must face any National Health System. The purpose of the study is the development of an intelligent tool that integrates medical record, clinical laboratory data and pharmacology treatment, and generates recommendations for a safety and effective prescrip...

This paper discusses the implementation of optimizaiion based DSSs. A n approach i s proposed that will enable OR/MS analysts t o develop this kind of system much more eoc ient ly than is possible today. The aim i s t o develop systems with modern GUIs, that interact with DBMSs, and that can be built with little programming effort. Many of the tools required for this approach were developed t o...

This paper describes an intelligent computer system giving decision support in the area of sentencing of traffic law offenders. The system evaluates the previous record of a traffic offender, and suggests how to consider that record when passing sentence in a new traffic case.

Medical decision-support systems in which uncertainty plays an essential role are increasingly based on the formalism of probabilistic networks. Although this formalism is very powerful, the construction of actual networks is not straightforward, and requires the availability of clearly structured medical domain models as a starting point. In this paper it is argued that medical pathophysiologi...

Evidence-based Clinical Guidelines are the document or recommendation which follow a rigorous development process and are based on the highest quality scientific evidence. Evidence-based clinical guidelines are important knowledge resources which have been used in many medical decision support systems and medical applications. In this paper, we present a semantic approach of evidence-based clin...

A standardized, controlled vocabulary allows adverse drug events (ADE) information to be described in an unambiguous way in knowledge bases, which is critical for clinical decision support systems for patient medication safety. In this paper, we describe our preliminary effort on development of an ontological representation pattern for the ADE domain. We discuss clinical implications of the eff...