Description:
Data-Driven Quality Improvement and
Sustainability in Health Care: An Interprofessional Approach provides nurse leaders and healthcare administrators of all
disciplines with a solid understanding of data and how to leverage data to
improve outcomes, fuel innovation, and achieve sustained results. It sets the
stage by examining the current state of the healthcare landscape; new
imperatives to meet policy, regulatory, and consumer demands; and the role of
data in administrative and clinical decision-making. It helps the professional
identify the methods and tools that support thoughtful and thorough data
analysis and offers practical application of data-driven processes that
determine performance in healthcare operations, value- and performance-based
contracts, and risk contracts.
Misuse or inconsistent use of data leads to ineffective and
errant decision-making. This text highlights common barriers and pitfalls
related to data use and provide strategies for how to avoid these pitfalls. In
addition, chapters feature key points, reflection questions, and real-life
interprofessional case exemplars to help the professional draw distinctions and
apply principles to their own practice.
Key Features:
- Provides nurse leaders and other healthcare administrators
with an understanding of the role of data in the current healthcare landscape
and how to leverage data to drive innovative and sustainable change
- Offers frameworks, methodology, and tools to support quality
improvement measures
- Demonstrates the application of data and how it shapes
quality and safety initiatives through real-life case exemplars
- Highlights common barriers and pitfalls related to data use
and provide strategies for how to avoid these pitfalls
Contents:
Chapter Contributors
Exemplar Contributors
Preface
Acknowledgments
Chapter 1. The Footprint of Data Across Healthcare Organizations (James
L. Harris)
Chapter 2. Imperatives for Quality, Safety, and Value-Based Outcomes in
a Data-Driven Healthcare Environment (Patricia L. Thomas and Brian Collins)
Chapter 3. Selecting the Right Tools for the Job: From Idea to Execution
(Patricia L. Thomas and Brian Collins)
Chapter 4. Data as the Centerpiece of Administrative and Clinical
Decisions (James L. Harris and Patricia L. Thomas)
Chapter 5. Application of Data Science in Healthcare (Patricia L.
Thomas and James L. Harris)
Chapter 6. Big Data: Understanding Its Value (Brian Collins)
Chapter 7. Data as an Influencer of Policy and Regulation (Michael R.
Bleich and Patricia L. Thomas)
Chapter 8. Innovation, Diffusion, and Dissemination (James L. Harris)
Chapter 9. Using Data to Build the Business Case for Change (Brian
Collins and James L. Harris)
Chapter 10. How Consumer Demands and Data Are Driving Change (Megan
Williams, Lauran Hardin, Niranjani Radhakrishnan, and Patricia L. Thomas)
Chapter 11. Data-Mining Techniques and Tools for Sustainable Outcomes (Brian
Collins)
Chapter 12. Techniques to Extract Evidence That Guide Quality and Safety
(Clista Clanton)
Chapter 13. Leading Interprofessional Improvement Teams to Use Meaningful
Data (Kathryn Sapnas and James L. Harris)
Chapter 14. A Kaleidoscope of Opportunities in a Data-Rich Biosphere: A
Futuristic Perspective (James L. Harris)
Index
About the Editors:
Patricia L. Thomas, PhD, RN, NEA-BC,
ACNS-BC, CNL, FAAN, FNAP, FACHE, Associate
Dean, Nursing Faculty Affairs & Associate Professor, Cohn College of
Nursing, Wayne State University, Detroit, Michigan
James L. Harris, PhD, PMHCNS-BC, MBA,
CNL, FAAN, Professor of Nursing, University of
South Alabama, Mobile, Alabama
Brian J. Collins, BS, Health Systems Management, Director of Decision Support,
Lawrence General Hospital, Lawrence, Massachusetts
Target Audience:
This book is for nurse leaders and other healthcare
administrators.