Clinical Analytics and Data Management for the DNP

by Martha L. Sylvia PhD, MBA, RN (Editor), Mary F. Terhaar PhD, RN, ANEF, FAAN (Editor)

Overview

"When we first conceived of this book, our intent was to create a resource that would introduce the theory, processes, and tools needed by professionals to achieve impactful clinical scholarship. We described improvement processes that originated with data from practice which pointed to opportunities to improve and concluded with data that helped to determine if the evidence-based solutions implemented had been effective. We are excited by the number of programs that have adopted this book as a course text, by the quality of the clinical scholarship that has employed this process, and by our conversations with faculty, students, and DNPs like you at conferences where you have shared the pride you feel in the success you have achieved. It is again time to refresh this resource in order to continue to advance high-quality, high-impact clinical scholarship in the context of a great many developments in policy, analytics, and innovation. In this third edition, we intend to help you stay in the groove with the world of big data, value-based care, and data-driven decision making. We maintain our bright focus on prevention, population health, and the contribution of DNPs to clinical scholarship and practice leadership"--

Product Details

ISBN-13:	9780826163233
Publisher:	Springer Publishing Company
Publication date:	02/16/2023
Edition description:	3rd ed.
Pages:	496
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

Martha L. Sylvia, PhD, MBA, RN, is Associate Professor at Medical University of South Carolina College of Nursing, where she provides consultation on DNP curriculum and teaches in the DNP Program. Dr. Sylvia has many years of experience in population health management with a focus on the analytic infrastructure to support the spectrum of popula- tion health management (PHM) initiatives. She is the owner and president of ForestVue Healthcare Solutions, a Clinical Analytics Consulting Company. Dr. Sylvia previously served as the director of Population Health Analytics at Johns Hopkins Healthcare and the Medical University of South Carolina (MUSC), where she designed and implemented population health analytics strategies.

Mary F. Terhaar, PhD, RN, ANEF, FAAN, is Associate Dean for Graduate Programs at the Fitzpatrick College of Nursing at Villanova University. She is a respected leader in translation, education, and team collaboration. Across 40 years of leadership spanning diverse systems, roles, and clinical services; she has framed problems as challenges, built high-functioning teams with diverse talents, and led development and execution of replicable solutions. Dr. Terhaar has authored or co-authored more than 70 manuscripts and chapters, as well as two broadly adopted texts on translation, evaluation, and DNP education. She is sought as a consultant on curriculum design and continuous improvement in nursing education and provides support to programs working to deliver high impact, rigorous education. She is an active site visitor and team leader for the Commission on Collegiate Nursing Education. Dr. Terhaar has advanced DNP education by creating processes, curricula, and resources which guide faculty and students across the nation and in five countries to produce outcomes. The pioneering work of teams she has led provides guidance for IRB submission, scholarly writing, data management, translation, multiple significant practice challenges, and now entry and success in doctoral education for nurses on the rise. All are increasingly included in curricula which prepare graduates to meet the Quadruple Aim. Dr. Terhaar has led a series of programs to increase diversity in the workforce by increasing diversity in graduate and undergraduate education. Most recently, she developed and lead an innovative program to increase diversity and belonging among undergraduate nursing students in collaboration with the Independence Blue Cross Foundation, and North Philadelphia high schools. Dr. Terhaar is co-founder of an innovative program that helps prospective students remove barriers to entering doctoral study, which has increased successful applications across diverse groups of nurses. She also developed a post-doctoral program for DNPs which increased dissemination, socialization, collaboration, and impact. She has helped to increase the caliber and rigor of scholarship produced by DNPs, appropriate submissions to IRBs, reliability of data and means testing, successful publications, and outcomes from DNP projects.

Table of Contents

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

Editorial Reviews

Reviewer: Michalene A King, PhD, RN, CNE (Robert Morris University)
Description: Designed to teach data management skills to DNP students, this book uses a progressive case study approach.
Purpose: The authors state that the purpose "is to describe a process and a set of strategies to be used to promote consistent, quality evaluation of the impact of translation."
Audience: The authors wrote the book for DNP students after they were unsuccessful in finding a suitable one on the subject. Both authors teach in a DNP program; one specializes in data management and the other is the director of a DNP program.
Features: This is described as a step-by-step guide for DNP students to learn analysis and management of clinical data. It covers all areas of data management. Chapter 2, on "Basic Statistical Concepts and Power Analysis," is a good review of important statistical concepts that are relevant to clinical data analysis and management.
Assessment: The authors state that they created this book to fill a specific need. 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.

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