Discover a comprehensive overview, from established leaders in the field, of how to use predictive analytics and other analytic methods for healthcare quality improvement.
Using Predictive Analytics to Improve Healthcare Outcomes delivers a 16-step process to use predictive analytics to improve operations in the complex industry of healthcare. The book includes numerous case studies that make use of predictive analytics and other mathematical methodologies to save money and improve patient outcomes. The book is organized as a “how-to” manual, showing readers how to use existing theory and tools to achieve real, positive outcomes.
Distinguished professionals, researchers, and authors show readers how to set up their organization to use predictive analytics to identify the most promising operational changes before setting out to change a practice. They provide tools for anyone in any role who aims to improve healthcare outcomes. Readers will benefit from the inclusion of:
- A thorough introduction to data, caring theory, Relationship-Based Care®, the Caring Behaviors Assurance System©, and healthcare operations, including how to build a measurement model and improve organizational outcomes.
- An exploration of analytics in action, including comprehensive case studies on patient falls, palliative care, infection reduction, reducing rates of readmission for heart failure, and more—all resulting in action plans allowing clinicians to make changes that have been proven in advance to result in positive outcomes.
- Discussions of how to refine quality improvement initiatives, including the use of “comfort” as a construct to illustrate the importance of solid theory and good measurement in adequate pain management.
- An examination of international organizations using analytics to improve opearions within culture context.
Using Predictive Analytics to Improve Healthcare Outcomes is perfect for executives, researchers and quality improvement staff at healthcare organizations, as well as educators teaching mathematics, data science or quality improvement. Professionals will discover a valuable resource that walks them through the steps of managing and optimizing outcomes within clinical care operations.
| Contributors |
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xi | |
| Foreword |
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xv | |
| Preface: Bringing the Science of Winning to Healthcare |
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xvii | |
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xix | |
| Acknowledgments |
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xxv | |
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Section One Data, Theory, Operations, and Leadership |
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1 | (52) |
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1 Using Predictive Analytics to Move from Reactive to Proactive Management of Outcomes |
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3 | (16) |
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2 Advancing a New Paradigm of Caring Theory |
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19 | (14) |
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3 Cultivating a Better Data Process for More Relevant Operational Insight |
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33 | (10) |
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4 Leadership for Improved Healthcare Outcomes |
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43 | (10) |
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Section Two Analytics in Action |
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53 | (116) |
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5 Using Predictive Analytics to Reduce Patient Falls |
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55 | (12) |
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6 Using the Profile of Caring® to Improve Safety Outcomes |
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67 | (16) |
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7 Forecasting Patient Experience: Enhanced Insight Beyond HCAHPS Scores |
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83 | (10) |
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8 Analyzing a Hospital-Based Palliative Care Program to Reduce Length of Stay |
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93 | (10) |
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9 Determining Profiles of Risk to Reduce Early Readmissions Due to Heart Failure |
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103 | (22) |
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10 Measuring What Matters in a Multi-Institutional Healthcare System |
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125 | (10) |
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11 Pause and Flow: Using Physics to Improve the Efficiency of Workflow |
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135 | (18) |
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12 Lessons Learned While Pursuing CLABSI Reduction |
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153 | (16) |
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Section Three Refining Theories to Improve Measurement |
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169 | (28) |
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13 Theory and Model Development to Address Pain Relief by Improving Comfort |
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171 | (12) |
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14 Theory and Model Development to Improve Recovery from Opioid Use Disorder |
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183 | (14) |
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Section Four International Models to Study Constructs Globally |
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197 | (90) |
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15 Launching an International Trajectory of Research in Nurse Job Satisfaction, Starting in Jamaica |
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199 | (18) |
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16 Testing an International Model of Nurse Job Satisfaction to Support the Quadruple Aim |
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217 | (20) |
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17 Developing a Customized Instrument to Measure Caring and Quality in Western Scotland |
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237 | (22) |
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18 Measuring the Effectiveness of a Care Delivery Model in Western Scotland |
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259 | (28) |
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| Epilogue: Imagining What Is Possible |
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287 | (4) |
| Appendix |
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291 | (118) |
| References |
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409 | (18) |
| Index |
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427 | |
John W. Nelson, PhD, MS, RN, is President and Founder of Healthcare Environment. He has worked in 46 countries with over 400+ healthcare facilities using advanced analytics to improve outcomes management for staff and patients, with results of cost savings up to $5.7 million. He co-authored the book Measuring Caring with Dr. Jean Watson and has authored or co-authored over 50 scholarly works. He has served as a graduate adjunct professor, mentored graduate students, and presented at numerous global industry conferences. He has worked with government organizations including the CMS in the US and the NHS in the UK.
Jayne Felgen, MPA, RN, is President Emeritus and Consultant at Creative Health Care Management. She has expertise in Relationship-Based Care® and is the originator of the I2E2 implementation strategy.
Mary Ann Hozak, MSN, RN, is Administrative Director of Cardiology at St. Josephs Health in Paterson, New Jersey, USA. She has over 10 years experience in Relationship-Based Care® methodology and participated in most of the research projects reported on in this book.
