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Medical simulation

Advances in Patient Safety New Directions and Alternative Approaches is a four-volume set of 115 articles, which describe patient safety findings, investigative approaches, process analyses, lessons learned, and practical tools to prevent patients from being harmed. It includes articles by AHRQ-funded patient safety researchers on topics such as reporting systems, risk assessment, safety culture, medical simulation, health information technology, and medication safety (AHRQ Publication No. 08-0034). [Pg.513]

J. M. O Coimor, T. C. Ginn, and G. V. Pase, The Evaluation and Description of a Power Plant Condenser Tube Simulator, Report No. 8-0248-956, New York University Medical Center, New York, 1977. [Pg.480]

Figure 5 shows an example of blind deconvolution by the resulting algorithm applied to simulated data. Of course the interest of blind deconvolution is not restricted to astronomy and it can be applied to other cases for which the instrumental response cannot be properly calibrated for instance in medical imaging (see Fig. 6a and Fig. 6b). [Pg.419]

The direct transport of absorbed drugs into systemic circulation, effectively by-passing the first-pass effect of the liver and gastrointestinal tract Lower enzymatic activity compared to the gastrointestinal tract or liver Amenability to self-medication, which increases patient compliance Possibility of pulsatile delivery of some drugs to simulate the biorhythmic release of these drugs Lower risk of overdosage Achievement of controlled release... [Pg.113]

P. Smets. A mathematico-statistical model simulating the process of medical diagnosis. PhD thesis, Universite Libre de BruxeUes, Faculty of Medicine, 1978. [Pg.238]


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See also in sourсe #XX -- [ Pg.137 , Pg.138 ]




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