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Clinical Analytics and Data Management for the DNP Second Edition Completely Updated Includes 11 New Chapters
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Clinical Analytics and Data Management for the DNP, Second ~ Clinical Analytics and Data Management for the DNP, Second Edition - Completely Updated, Includes 11 New Chapters [Sylvia PhD MBA RN, Martha L., Terhaar PhD RN FAAN, Mary F.] on . *FREE* shipping on qualifying offers. Clinical Analytics and Data Management for the DNP, Second Edition - Completely Updated, Includes 11 New Chapters
Clinical Analytics and Data Management for the DNP ~ New to the Second Edition: Completely updated and expanded with 11 new chapters; Includes an extensive data management toolkit with SPSS, Excel, and Tableau; Describes value-based purchasing and NDNQI measurement programs; Explains use of data sources to support the problem statement for the DNP project; Guides selection of quality measures
Clinical Analytics and Data Management for the DNP ~ Clinical Analytics and Data Management for the DNP, Second Edition - Completely Updated, Includes 11 New Chapters Martha L. Sylvia PhD… 4.6 out of 5 stars 42
Clinical Analytics and Data Management for the DNP, Second ~ New to the Second Edition: Completely updated and expanded with 11 new chapters; Includes an extensive data management toolkit with SPSS, Excel, and Tableau; Describes value-based purchasing and NDNQI measurement programs; Explains use of data sources to support the problem statement for the DNP project; Guides selection of quality measures
Clinical Analytics and Data Management for the Dnp, Second ~ Rent Clinical Analytics and Data Management for the Dnp, Second Edition 2nd edition (978-0826142771) today, or search our site for other textbooks by Martha L. Sylvia. Every textbook comes with a 21-day "Any Reason" guarantee. Published by Springer Publishing Company, Incorporated.
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TDS - Clinical Analytics and Data Management for the DNP ~ New to the Second Edition: • Completely updated and expanded with 11 new chapters • Includes an extensive data management toolkit with SPSS, Excel, and Tableau • Describes value-based purchasing and NDNQI measurement programs • Explains use of data sources to support the problem statement for the DNP project
2. E-Books - Doctorate of Nursing Practice - Library ~ New to the Second Edition: Completely updated and expanded with 11 new chaptersIncludes an extensive data management toolkit with SPSS, Excel, and TableauDescribes value-based purchasing and NDNQI measurement programsExplains use of data sources to support the problem statement for the DNP projectGuides selection of quality measuresProvides best practices for collecting primary and secondary dataOffers strategic guidelines for institutional review board submissionExplains methods for risk .
Clinical Analytics and Data Management for the DNP eBook ~ It enables readers to design data tracking and clinical analytics in order to rigorously evaluate clinical innovations/programs for improving clinical outcomes, and to document and analyze change. The second edition is greatly expanded and updated to address major changes in our health care environment.
An Approach to Clinical Data Management for the Doctor of ~ Strong data management skills are essential to doctor of nursing practice (DNP) education and necessary for DNP practice. Completion of the DNP scholarly project requires application of these skills to understand and address a complex practice, process, or systems problem; develop, implement, and monitor an innovative evidence-based intervention to address that problem; and evaluate the outcomes.
Clinical Analytics and Data Management for the DNP / R2 ~ The text takes the DNP student step by step through the complete process of data management from planning through presentation, and encompasses the scope of skills required for students to apply relevant analytics to systematically and confidently tackle the clinical interventions data obtained as part of the DNP student project.
Clinical Analytics and Data Management for the DNP ~ It takes the DNP student step by step through the complete process of data management, including planning, data collection, data governance and cleansing, analysis, and data presentation. Moreover, the text continues the process of establishing a sturdy clinical data management (CDM) skill base by presenting techniques for ongoing project .