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Clinical Analytics and Data Management for the DNP. Text with Access Code

Sylvia, Martha L. PhD
Clinical Analytics and Data Management for the DNP. Text with Access Code Cover Image
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Book Information
Edition: 2nd
Publisher: Springer Publishing Company, Incorporated
ISBN: 0-8261-4277-X (082614277X)
ISBN-13: 978-0-8261-4277-1 (9780826142771)
New Edition: 0-8261-6323-8
Old Edition: 0-8261-2973-0
Binding: with Supplement Softcover + Internet Access Code
Copyright: 2018
Publish Date: 03/18
Weight: 1.52 Lbs.
Pages: 436
Carton Quantity: 18
Subject Class: N-R (Nursing Research and Issues)
Remarks:
A New Edition of this Title is Available
Return Policy: Non-Returnable.
Contributing Authors: View
 
Class Specifications
Discipline: Nursing
Subject Definition: Advanced Practice Nursing-Education
NLM Class: WY 18.5
LC Class: RT81.5
Abstract: This is the only text to deliver the strong data management knowledge and skills that are required competencies for all DNP students. It enables readers to design data tracking and clinical analytics in order to rigorously evaluate clinical innovations and programs for improving clinical outcomes and to document and analyze change. This second edition has been expanded and updated to address major changes in our healthcare environment. Incorporating faculty and student input, it now includes modalities such as SPSS, Excel, and Tableau to address diverse data management tasks. Eleven new chapters cover the use of big data analytics, ongoing progress toward value-based payment, the Affordable Care Act and its future, shifting of risk and accountability to hospitals and clinicians, advancement of nursing quality indicators, and new requirements for Magnet. certification. 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. Of particular value is a progressive case study illustrating multiple techniques and methods throughout the chapters. Sample data sets and exercises, along with objectives, references, and examples in each chapter, reinforce information.

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