The field of collaborative health planning faces significant challenges due to the lack of effective information, systems and the absence of a framework to make informed decisions. These challenges have been magnified by the rise of the healthy cities movement, consequently, there have been more frequent calls for localised, collaborative and evidence-driven decision-making. Some studies in the...

Computerized physician order entry (CPOE) and decision support systems (DSS) can reduce certain types of error but often slow clinicians and may increase other types of error. The net effect of these systems on an emergency department (ED) is unknown. The consensus participants combined published evidence with expert opinion to outline recommendations for success. These include seamless integra...

Agricultural models and decision support systems are becoming increasingly available for a wide audience of users. The Great Plains Framework for Agricultural Resource Management (GPFARM) DSS is a strategic planning tool for farmers, ranchers, and agricultural consultants that incorporates a science simulation model with an economic analysis package and multi-criteria decision aid for evaluatin...

There is an increasing use of Multicriteria-Spatial Decision Support Systems in recent years for dealing with problems that have a spatial distribution of consequences. This growth might be explained by the widespread recognition that there are multiple and conflicting objectives to be considered in spatial planning (e.g. minimizing pollution to air, water and soil, increasing the acceptance of...

The field of collaborative health planning faces significant challenges due to the lack of effective information, systems and the absence of a framework to make informed decisions. These challenges have been magnified by the rise of the healthy cities movement, consequently, there have been more frequent calls for localised, collaborative and evidence-driven decision-making. Some studies in the...

This paper is the first major report of a project that is investigating the theoretic foundations of decision support systems (DSS). The project was principally motivated by a concern for the direction and relevance of DSS research. The main areas of research focus are the decision and judgement theoretic base of the discipline, the research strategies used in published articles, and the profes...

The integration of information from different sources within the enterprise is one of the basis for implementing successful Decision Support Systems (DSS). Typically a DSS supplies analytical information obtained and transformed from large data warehouses. Recently, the geographical component of information has become more important due to the growing use of this type of information in logistic...

By using information technology, the healthcare industry is rising rapidly, through automating number of processes such as analyzing records, organizing the huge data, and developing workflow by extraction and maintain knowledge. In the last few years, Decision Support System (DSS) considered as the most outstanding system, which is crucial for any healthcare organization. The aim of this paper...

Business Intelligence refers to computer-based technologies, methodologies, tools, and systems for collecting, integrating, analyzing, and presenting large volumes of information to enable better business decision making. Increasingly, as businesses becomemore automated, data-driven, and real-time, business intelligence architecture evolves to support both strategic and operational levels of bu...

There is a tremendous amount of effort involved in the definition of Clinical Practice Guidelines (CPG) by physicians. Because the quality of medical assistance is highly impacted by the use of CPG, and establishing their use is difficult, we consider necessary to develop an effective solution that implements CPG through Decision Support Systems (DSS). Among the many existing representation mod...