Publications by authors named "L A Knauf"

Hybrid learning is a combination of on-line learning and face-to-face sessions. This research sought to answer the question of "Can Hybrid Learning be Utilized To Teach Working Sonographers to perform breast Elastography?" We designed a hybrid course entitled "Breast Elastography for Working Sonographers." This course consisted of four on-line training modules, each complete with a post-test and one face-to-face session.

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Behavioral health providers are increasingly called upon to develop outcomes strategies that highlight opportunities for performance improvement and assess in turn the impact of applying total quality management (TQM) principles to treatment outcomes. This article describes the evolution of an outcomes assessment program at a private psychiatric facility, and presents two case studies of the integration of outcomes data into clinical decision-making. In Study I, outcomes data were used to identify patterns in the responsiveness to treatment of child/adolescent patients with behavioral disorders and document changes in improvement rates following the application of continuous quality improvement (CQI) principles within the inpatient services.

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With the multitude of new chemicals being synthesized and the paucity of long-term test data on chemicals that could be introduced into the environment, innovative approaches must be developed to determine the health and environmental effects of chemicals. Research was conducted to employ quantitative structure-activity relationship (QSAR) techniques to study the feasibility of developing models to estimate the noncarcinogenic toxicity of chemicals that are not addressed in the literature by relevant studies. A database of lowest-observed-adverse effect level (LOAEL) was assembled by extracting toxicity information from 104 U.

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There are often several data sets that may be used in developing a quantitative risk estimate for a carcinogen. These estimates are usually based, however, on the dose-response data for tumor incidences from a single sex/strain/species of animal. When appropriate, the use of more data should result in a higher level of confidence in the risk estimate.

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