خرید و دانلود نسخه کامل کتاب Clinical Analytics and Data Management for the DNP 3rd Edition

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.

New to the Third Edition:

• New Chapter: Using EMR Data for the DNP Project
• New chapter solidifies link between EBP and Analytics for the DNP project
• New  chapter highlights use of workflow mapping to transition between  current and future state, while simultaneously visualizing process  measures needed to ensure success of the DNP project
• Includes more examples to provide practical application exercises for students

Key Features:

• Disseminates robust strategies for using available data from everyday practice to support trustworthy evaluation of outcomes
• Uses multiple tools to meet data management objectives [SPSS, Excel®, Tableau]
• Presents case studies to illustrate multiple techniques and methods throughout chapters
• Includes  specific examples of the application and utility of these techniques  using software that is familiar to graduate nursing students
• Offers real world examples of completed DNP projects
• Provides  Instructor’s Manual, PowerPoint slides, data sets in SPSS and Excel,  and forms for completion of data management and evaluation plan