Clinical Analytics and Data Management for the DNP

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.

• ContributorsForeword for the Third EditionPrefaceInstructor ResourcesPART I: INTRODUCTIONChapter 1. Introduction to Clinical Data ManagementChapter 2. Analytics and Evidence-Based PracticePART II: DATA PLANNING AND PREPARATIONChapter 3. Using Data to Support the Problem StatementChapter 4. Preparing for Data CollectionChapter 5. Secondary Data CollectionChapter 6. Primary Data CollectionChapter 7. Using EHR Data for the DNP ProjectPART III: PREPARING FOR PROJECT IMPLEMENTATIONChapter 8. Determining the Project MeasuresChapter 9. Using Statistical Techniques to Plan the DNP Project Chapter 10. Using Workflow Mapping to Plan the DNP Project ImplementationChapter 11. Developing the Analysis PlanChapter 12. Best Practices for Submission to the Institutional Review BoardPART IV: IMPLEMENTING AND EVALUATING PROJECT RESULTS Chapter 13. Creating the Analysis Data SetChapter 14. Exploratory Data AnalysisChapter 15. Outcomes Data AnalysisChapter 16. Summarizing the Results of the ProjectChapter 17. Ongoing MonitoringPART V: KEY COMPETENCIES FOR DNP PRACTICEChapter 18. Data Governance and StewardshipChapter 19. Value-Based CareChapter 20. Nursing Excellence Recognition and Benchmark ProgramsPART VI: ADVANCED ANALYTIC TECHNIQUESChapter 21. Data VisualizationChapter 22. Risk AdjustmentChapter 23. Big Data, Data Science, and AnalyticsChapter 24. Predictive ModelingIndex

Praise for the first edition:"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 — Doody's Medical Reviews