Engineering healthcare as a service system
Information-Knowledge-Systems Management - Engineering the System of Healthcare Delivery
Burst detection from multiple data streams: a network-based approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Reducing error in safety critical health care delivery
HESSD'09 Proceedings of the 7th FIP WG 13.5 international conference on Human Error, Safety and Systems Development
On semantic annotation of decision models
Information Systems and e-Business Management
A semantic service-oriented architecture for distributed model management systems
Decision Support Systems
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The focus of this paper is on decision making; more specifically, on what decision making requirements are needed in the future. We augur for a decision informatics paradigm; it is a real-time, information-based approach to decision making. The paradigm is supported by two sets of technologies (i.e., information and decision technologies) and underpinned by three disciplines (i.e., data fusion/analysis, decision modeling, and systems engineering). We begin by considering the context - and needs - for decision making as the economies of the world change and evolve, especially in regard to emerging services; then our proposed decision informatics paradigm is detailed and illustrated, together with an in-depth review of a critical, underpinning research area (dealing with real-time fusion and analysis of multiple nonhomogeneous data sources), followed by several concluding remarks.