BookMartha L. Sylvia, Mary F. Terhaar.
Summary: "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"-- Provided by publisher.
Contents:
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.