This paper describes the use of corporate decision and strategy simulations as a decisionsupport instrument under varying market conditions in the tourism industry. It goes on to illustrate this use of simulations with an experiment which investigates how successful different market segmentation approaches are in destination management. The experiment assumes a competitive environment and vario...

BACKGROUND Decision tools such as clinical decision support systems must be built on a solid foundation of nursing knowledge. However, current methods to determine the best evidence do not include a broad range of knowledge sources. As clinical decision support systems will be designed to assist nurses when making critical decisions, methods need to be devised to glean the best possible knowled...

In this paper we propose the use of semantic web services to achieve a universal clinical decision support system (CDSS). Our goal is to develop a semi-automated approach to discover, select and compose CDSSs available as web services. Ontologies and tools support is necessary to achieve this goal. We describe similar efforts for ontologies and tools development and explain how our work is diff...

In this paper we propose Decision support system implementation for health care system with the use of decision support system. The system integrates the input data from relevant sources into an autonomous data warehouse, while the client frontend ensures adequate output presentation to the user so as reveal significant details and dependencies. Applying the system as an “on –the –fly” decision...

in management accounting information systems, managers use accounting information systems to be able to predict or have the data structured by the use of decision support systems and business intelligence. so, the use of management accounting information systems is necessary in management decision-making process based on decision support and business intelligence. this paper reviews the liter...

The development of TempToxopert aimed at assisting clinicians in analysing the results of prenatal toxoplasmosis screening tests. Expert knowledge about diagnostics, screening strategies, and treatment of toxoplasmosis during pregnancy was collected and represented as a rule-based decision graph. Based on actual and past individual findings, the system generates case-specific interpretative rep...

There are a limited number of scientific studies concerned with the evaluation of DSS in general, and even less concerned with the evaluation of DSS in a clinical context. The purpose of this study is to evaluate the clinical DSS at the Department of Orthopedics at Sahlgrenska University Hospital in order to answer how one should evaluate clinical DSS. We have in our study created a research fr...

Clinical Decision Support Systems embed data-driven decision models designed to represent clinical acumen of an experienced physician. We argue that eliminating physicians’ diagnostic biases from data improves the overall quality of concepts, which we represent as decision rules. Experiments conducted on prospectively collected clinical data show that analyzing this filtered data produces rules...

In the last decades, clinical evidence and expert consensus have been encoded into advanced Decision Support Systems (DSSs) in order to promote a better integration into the clinical workflow and facilitate the automatic provision of patient specific advice at the time and place where decisions are made. However, clinical knowledge, typically expressed as unstructured and free text guidelines, ...