Clinical Analytics and Data Management for the DNP
Springer Publishing Co Inc (Verlag)
978-0-8261-4277-1 (ISBN)
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This is the only text to deliver the strong data management knowledge and skills that are required competencies for all DNP students. It enables readers to design data tracking and clinical analytics in order to rigorously evaluate clinical innovations/programs for improving clinical outcomes, and to document and analyze change. The second edition is greatly expanded and updated to address major changes in our health care environment. Incorporating faculty and student input, it now includes modalities such as SPSS, Excel, and Tableau to address diverse data management tasks. Eleven new chapters cover the use of big data analytics, ongoing progress towards value-based payment, the ACA and its future, shifting of risk and accountability to hospitals and clinicians, advancement of nursing quality indicators, and new requirements for Magnet certification.The text takes the DNP student step by step through the complete process of data management from planning to presentation, and encompasses the scope of skills required for students to apply relevant analytics to systematically and confidently tackle the clinical interventions data obtained as part of the DNP student project. Of particular value is a progressive case study illustrating multiple techniques and methods throughout the chapters. Sample data sets and exercises, along with objectives, references, and examples in each chapter, reinforce information.
Key Features:
Provides extensive content for rigorously evaluating DNP innovations/projects
Takes DNP students through the complete process of data management from planning through presentation
Includes a progressive case study illustrating multiple techniques and methods
Offers very specific examples of application and utility of techniques
Delivers sample data sets, exercises, PowerPoint slides and more, compiled in Supplemental Materials and an Instructor Manual
Mary F. Terhaar, PhD, RN, ANEF, FAAN, is the Arline H. and Curtis F. Garvin Professor and Associate Dean for Academic Affairs at the Frances Payne Bolton School of Nursing at Case Western Reserve University. She is responsible for the quality and integrity of academic programing, global nursing, recruitment, student services, and accreditation. Formerly, Dr. Terhaar served as director of the DNP program and was an associate professor at Johns Hopkins University School of Nursing. Based on over 35 years' experience in perinatal, neonatal, pediatric and administrative nursing, she has led performance improvement and translation efforts in large academic healthcare institutions, community hospitals, and educational programs. Dr. Terhaar leads faculty preparing clinical scholars who will transform practice and care through the meticulous translation of evidence toward the solution of significant practice challenges. She teaches across the baccalaureate, graduate, and doctoral programs. Dr. Terhaar designed the Scholarly Project sequence, as well as the Foundations for Scholarship course, which prepares students for the return to academics, for the rigor of scholarly writing, and for impactful dissemination. She has published and presented the curriculum, the multimodal approach to evaluation, which involves performance-improvement activities designed to increase the rigor of the education provided to the DNP, and the outcomes that have resulted from the work of both the faculty and students.
1. Introduction to Clinical Data Management – Mary F. Terhaar
2. Basic Statistical Concepts and Power Analysis – Martha L. Sylvia
3. Value Based Purchasing – Mary F. Terhaar
4. Using Data to Support the Problem Statement – Martha L. Sylvia
5. Selecting Quality Measures – Martha L. Sylvia
6. Preparing for Data Collection – Martha L. Sylvia, Mary F. Terhaar
7. Secondary Data Collection – Emily Johnson, Martha L. Sylvia
8. Primary Data Collection – Martha L. Sylvia
9. Developing the Analysis Plan – Martha L. Sylvia, Mary F. Terhaar
10. Data Governance and Stewardship – Martha L. Sylvia, Mary F. Terhaar
11. Best Practices for Submission to the Institutional Review Board – Mary F. Terhaar, Laura A. Taylor
12. Creating the Analysis Data Set – Martha L. Sylvia
13. Exploratory Data Analysis – Martha L. Sylvia, Shannon Murphy
14. Outcomes Data Analysis – Martha L. Sylvia, Shannon Murphy
15. Summarizing the Results of the Project Evaluation – Martha L. Sylvia
16. Ongoing Monitoring – Melissa Sherry, Martha Sylvia
17. Data Visualization – Erik Sederstrom
18. Nursing Excellence Recognition and Benchmarking Programs – Heather Craven
19. Risk Adjustment – Martha L. Sylvia
20. Big Data, Data Science and Analytics – Marisa L. Wilson
21. Predictive Modeling – Martha L. Sylvia
| Erscheinungsdatum | 16.04.2018 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 697 g |
| Themenwelt | Pflege ► Studiengänge ► Pflegewissenschaft |
| ISBN-10 | 0-8261-4277-X / 082614277X |
| ISBN-13 | 978-0-8261-4277-1 / 9780826142771 |
| Zustand | Neuware |
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