James K. McDowell

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Pain of moderate to severe intensity continues to be an important problem for many hospitalized patients. Nurses spend more time with patients than any other health professional group and have a key role to play in the management of patients' pain. This paper reports the findings from a series of focus group interviews which were undertaken to explore(More)
A statewide cross-sectional survey was conducted in Australia to identify the determinants of registered nurses' intention to administer opioids to patients with pain. Attitudes, subjective norms and perceived control, the key determinants of the Theory of Planned Behavior, were found to independently predict nurses' intention to administer opioids to these(More)
Significant pain continues to be reported by many hospitalized patients despite the numerous and varied educational programs developed and implemented to improve pain management. A theoretically based Peer Intervention Program was designed from a predictive model to address nurses' beliefs, attitudes, subjective norms, self-efficacy, perceived control and(More)
an effort has been underway in the Intelligent Systems Laboratory at Michigan State University to develop a knowledge-based system for designing polymer composite materials. The Composite Materials & Structures Center, also at Michigan State, has helped facilitate much of this work. The Advanced Computing Thrust (ACT) combines the generic task approach of(More)
This report describes an ongoing effort to apply the functional modeling (FM) approach to the representation of and reasoning about engineered artifacts. The application domain is the External Active Thermal Control System (EATCS) of space station FREEDOM. The intuitions behind FM are threefold. First, knowing the purposes of a device allows organization of(More)
Compiled reasoning systems make commitments to specific knowledge representations and inference strategies for efficient and effective problem solving. The diagnostic robustness of such systems has often been thought to depend only on the experience of domain experts, with diagnostic robustness guaranteed only by direct manipulation of deep knowledge. Our(More)
The Intelligent Process Control Architecture (IPCA) a control architecture for dynamic processes which is rooted in the Generic Task approach to knowledgebased systems. The first generation of IPCA has been completed, and experimentally proved in the testbed domain of microwave processing of polymer composite materials. The next generation of IPCA is now(More)
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