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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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List Price:$110.00

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Book Information
Edition: 3rd
Publisher: Springer Publishing Company, Incorporated
ISBN: 0-8261-6323-8 (0826163238)
ISBN-13: 978-0-8261-6323-3 (9780826163233)
Old Edition: 0-8261-4277-X
Binding: with Supplement Softcover
Copyright: 2024
Publish Date: 02/23
Weight: 1.98 Lbs.
Pages: 434
Subject Class: N-R (Nursing Research and Issues)
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 unique text and reference.."the only book to address the full spectrum of clinical data management for the DNP student.."instills a fundamental understanding of how clinical data is gathered, used, and analyzed, and how to incorporate this data into a quality DNP project. The new third edition is updated to reflect changes in national health policy such as quality measurements, bundled payments for specialty care, and Advances to the Affordable Care Act (ACA) and evolving programs through the Centers for Medicare and Medicaid Services (CMS). The third edition reflects the revision of 2021 AACN Essentials and provides data sets and other examples in Excel and SPSS format, along with several new chapters. This resource takes the DNP student step-by-step through the complete process of data management, from planning through presentation, clinical applications of data management that are discipline-specific, and customization of statistical techniques to address clinical data management goals. Chapters are brimming with descriptions, resources, and exemplars that are helpful to both faculty and students. Topics spotlight requisite competencies for DNP clinicians and leaders such as phases of clinical data management, statistics and analytics, assessment of clinical and economic outcomes, value-based care, quality improvement, benchmarking, and data visualization. A progressive case study highlights multiple techniques and methods throughout the text. Purchase includes online access via most mobile devices or computers.

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