Updated Vancomycin Collaborative Practice Guidelines in 2020
Vancomycin guidelines updated in 2020 include transitioning from trough-based to AUC-based monitoring, emphasizing achieving an AUC/MIC of 400-600 for improved outcomes. Major updates involve loading dose adjustments, targeting AUC/MIC instead of trough levels, and pharmacist-orderable MRSA nasal sw
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Updated Guidelines and Practices for Vancomycin Therapy
The consensus guidelines for vancomycin therapy have been updated in 2020, focusing on switching from trough-based to AUC-based monitoring. Achieving an AUC/MIC of >400 within the first 48 hours is linked to better outcomes in serious MRSA infections. Changes include a new loading dose, therapeutic
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Overview of AUC's Indigenous Consultation Framework
The document provides insights into the Alberta Utilities Commission (AUC) role in Indigenous consultation, highlighting the statutory basis and responsibilities in the consultation process. It references legal precedents and court decisions guiding the AUC's engagement with constitutionally-protect
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Engaging Students in Multimedia Content Production at AMICAL-AUK-AUC
Explore how student-centered teaching and learning, utilizing innovative technologies, fosters active engagement and critical thinking in academia. Discover the impact of multimedia content production on assessment methodologies, exemplified by successful collaborations and award-winning projects at
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Enhancing Collaboration in African Statistical Reporting
The African Statistical Yearbook (ASYB) demonstrates successful collaboration among the African Development Bank (AfDB), African Union Commission (AUC), and United Nations Economic Commission for Africa (ECA). This union aims to harmonize data production, alleviate reporting burdens on member states
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Understanding ROC Analysis in Classification of Biological Samples
Differentially expressed genes can be utilized to categorize biological samples as responder or non-responder to treatments. Receiver Operating Characteristics (ROC) analysis is a method to evaluate classification performance based on sensitivity, specificity, true positive rate, and false positive
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AI in Fall Prediction Among Elderly: State of the Art and Potential Impact
Falls among the elderly are a significant concern globally. This presentation discusses AI-driven fall prediction models, including traditional tools like the Timed Up and Go Test, and the potential impact on reducing falls with validated models showing an AUC of 0.62-0.69. The discussion covers sub
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Performance Journey FY 2017-2018 at AUC: Engaging Employees for Growth
AUC's Community Vision focuses on engaging employees for purposeful learning and growth, with a strong emphasis on performance-based culture, development tools, and constructive review sessions. The Performance Journey Objective Cycle includes elements like the Employee Annual Scorecard and Individu
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Evaluation of Clinical Prediction Models Using Net Benefit versus ROC Curves
Performance evaluation of clinical prediction models involves comparing predicted outcomes with ground truth data using ROC curves. The area under the ROC curve (AUC) is commonly used to assess model performance. A novel method for comparing different models is proposed. Decision-making on treatment
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