Original PDF Ebook – Clinical Analytics and Data Management for the DNP3rd Edition – 9780826163233

$34.99

Author (s): Martha L. Sylvia
Publisher: Springer Publishing Company Print
ISBN: 9780826163233 0826163238
Edition: 3rd
Copyright: 2023

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SKU: 9780826163233

Original PDF Ebook – Clinical Analytics and Data Management for the DNP3rd Edition – 9780826163233

Praise for the first edition:_x000D_
“DNP students may struggle with data management, since their projects are not research but quality improvement, and this book covers the subject well. I recommend it for DNP students for use during their capstone projects.” Score: 98, 5 Stars_x000D_
— Doody’s Medical Reviews_x000D_
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._x000D_
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._x000D_
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