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To assess the degree to which information retrieved from a biomedical database can augment personal knowledge in addressing novel problems, and how the ability to retrieve information evolves over time.

To examine the influences of situational and model factors on the accuracy of Bayesian learning systems.

A general framework for representation of clinical data that provides a declarative semantics of terms and that allows developers to define explicitly the relationships among both terms and combinations of terms.

Develop standard terms and codes for recording nursing care information in patient records to permit relevant data to be abstracted into a shared database for effectiveness research.

Develop a representation of clinical observations and actions and a method of processing free-text patient documents to facilitate applications such as quality assurance.

Articles about medical diagnostic decision support (MDDS) systems often begin with a disclaimer such as, "despite many years of research and millions of dollars of expenditures on medical diagnostic systems, none is in widespread use at the present time." While this statement remains true in the sense that no single diagnostic system is in widespread use, it is misleading with regard to the state of the art of these systems [...]

To analyze the terms used by nurses in a variety of data sources and to test the feasibility of using SNOMED III to represent nursing terms.