Clinical Analytics and Data Management for the DNP (eBook)

Martha L. Sylvia, Mary F. Terhaar (Herausgeber)

eBook Download: EPUB

2023 | 3., Third Edition, New Edition
496 Seiten
Springer Publishing Company (Verlag)
978-0-8261-6324-0 (ISBN)

Infos

Praise for the first edition:"e;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."e; Score: 98, 5 Stars-- Doody's Medical ReviewsThis unique text and referencethe only book to address the full spectrum of clinical data management for the DNP studentinstills 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 ProjectNew chapter solidifies link between EBP and Analytics for the DNP projectNew 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 projectIncludes more examples to provide practical application exercises for studentsKey Features:Disseminates robust strategies for using available data from everyday practice to support trustworthy evaluation of outcomesUses multiple tools to meet data management objectives [SPSS, Excel, Tableau]Presents case studies to illustrate multiple techniques and methods throughout chaptersIncludes specific examples of the application and utility of these techniques using software that is familiar to graduate nursing studentsOffers real world examples of completed DNP projectsProvides Instructor's Manual, PowerPoint slides, data sets in SPSS and Excel, and forms for completion of data management and evaluation plan

Inhalt

Contributors

Foreword for the Third Edition

Preface

Instructor Resources

PART I: INTRODUCTION

Chapter 1. Introduction to Clinical Data Management

Chapter 2. Analytics and Evidence-Based Practice

PART II: DATA PLANNING AND PREPARATION

Chapter 3. Using Data to Support the Problem Statement

Chapter 4. Preparing for Data Collection

Chapter 5. Secondary Data Collection

Chapter 6. Primary Data Collection

Chapter 7. Using EHR Data for the DNP Project

PART III: PREPARING FOR PROJECT IMPLEMENTATION

Chapter 8. Determining the Project Measures

Chapter 9. Using Statistical Techniques to Plan the DNP Project

Chapter 10. Using Workflow Mapping to Plan the DNP Project Implementation

Chapter 11. Developing the Analysis Plan

Chapter 12. Best Practices for Submission to the Institutional Review Board

PART IV: IMPLEMENTING AND EVALUATING PROJECT RESULTS

Chapter 13. Creating the Analysis Data Set

Chapter 14. Exploratory Data Analysis

Chapter 15. Outcomes Data Analysis

Chapter 16. Summarizing the Results of the Project

Chapter 17. Ongoing Monitoring

PART V: KEY COMPETENCIES FOR DNP PRACTICE

Chapter 18. Data Governance and Stewardship

Chapter 19. Value-Based Care

Chapter 20. Nursing Excellence Recognition and Benchmark Programs

PART VI: ADVANCED ANALYTIC TECHNIQUES

Chapter 21. Data Visualization

Chapter 22. Risk Adjustment

Chapter 23. Big Data, Data Science, and Analytics

Chapter 24. Predictive Modeling

Index

Produkt-Details

• Erscheint lt. Verlag: 15.3.2023
• Sprache: englisch
• Themenwelt: Pflege ► Studiengänge ► Pflegewissenschaft
• ISBN-10: 0-8261-6324-6 / 0826163246
• ISBN-13: 978-0-8261-6324-0 / 9780826163240