{"product_id":"using-predictive-analytics-to-improve-healthcare-outcomes-isbn-9781119747758","title":"Using Predictive Analytics to Improve Healthcare Outcomes","description":"\u003cb\u003eUsing Predictive Analytics to Improve Healthcare Outcomes\u003cbr\u003e\u003cbr\u003eWinner of the American Journal of Nursing (AJN) Informatics Book of the Year Award 2021!\u003c\/b\u003e \u003cp\u003e\u003cb\u003eDiscover a comprehensive overview, from established leaders in the field, of how to use predictive analytics and other analytic methods for healthcare quality improvement.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eUsing Predictive Analytics to Improve Healthcare Outcomes\u003c\/i\u003e 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 how to use existing theory and tools to achieve desired positive outcomes.\u003c\/p\u003e \u003cp\u003eYou will learn how your organization can use predictive analytics to identify the most impactful operational interventions \u003ci\u003ebefore\u003c\/i\u003e changing operations. This includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA thorough introduction to data, caring theory, Relationship-Based Care\u003csup\u003e®\u003c\/sup\u003e, the Caring Behaviors Assurance System\u003csup\u003e©\u003c\/sup\u003e, and healthcare operations, including how to build a measurement model and improve organizational outcomes.\u003c\/li\u003e \u003cli\u003eAn 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 \u003ci\u003eproven in advance\u003c\/i\u003e to result in positive outcomes.\u003c\/li\u003e \u003cli\u003eDiscussions 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.\u003c\/li\u003e \u003cli\u003eAn examination of international organizations using analytics to improve operations within cultural context.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eUsing Predictive Analytics to Improve Healthcare Outcomes\u003c\/i\u003e is perfect for executives, researchers, and quality improvement staff at healthcare organizations, as well as educators teaching mathematics, data science, or quality improvement. Employ this valuable resource that walks you through the steps of managing and optimizing outcomes in your clinical care operations.\u003c\/p\u003e \u003cp\u003eContributors xi\u003c\/p\u003e \u003cp\u003eForeword xv\u003c\/p\u003e \u003cp\u003ePreface: Bringing the Science of Winning to Healthcare xvii\u003c\/p\u003e \u003cp\u003eList of Acronyms xix\u003c\/p\u003e \u003cp\u003eAcknowledgments xxv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection One Data, Theory, Operations, and Leadership \u003c\/b\u003e\u003cb\u003e1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Using Predictive Analytics to Move from Reactive to Proactive Management of Outcomes 3\u003cbr\u003e\u003ci\u003eJohn W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Advancing a New Paradigm of Caring Theory 19\u003cbr\u003e\u003ci\u003eJohn W. Nelson and Jayne Felgen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Cultivating a Better Data Process for More Relevant Operational Insight 33\u003cbr\u003e\u003ci\u003eMary Ann Hozak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Leadership for Improved Healthcare Outcomes 43\u003cbr\u003e\u003ci\u003eLinda Valentino and Mary Ann Hozak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection Two Analytics in Action \u003c\/b\u003e\u003cb\u003e53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5 Using Predictive Analytics to Reduce Patient Falls 55\u003cbr\u003e\u003ci\u003eTara Nichols, Lance Podsiad, Josephine Sclafani Wahl, and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Using the Profile of Caring\u003csup\u003e®\u003c\/sup\u003e to Improve Safety Outcomes 67\u003cbr\u003e\u003ci\u003eJohn W. Nelson and Kenneth Oja\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Forecasting Patient Experience: Enhanced Insight Beyond HCAHPS Scores 83\u003cbr\u003e\u003ci\u003eMary Ann Hozak and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Analyzing a Hospital-Based Palliative Care Program to Reduce Length of Stay 93\u003cbr\u003e\u003ci\u003eKate Aberger, Anna Trtchounian, Inge DiPasquale, and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Determining Profiles of Risk to Reduce Early Readmissions Due to Heart Failure 103\u003cbr\u003e\u003ci\u003eMary Ann Hozak, Melissa D’Mello, and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Measuring What Matters in a Multi-Institutional Healthcare System 125\u003cbr\u003e\u003ci\u003eKay Takes, Patricia Thomas, Gay Landstrom, and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Pause and Flow: Using Physics to Improve the Efficiency of Workflow 135\u003cbr\u003e\u003ci\u003eJacklyn Whitaker, Benson Kahiu, Marissa Manhart, Mary Ann Hozak, and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Lessons Learned While Pursuing CLABSI Reduction 153\u003cbr\u003e\u003ci\u003eAna Esteban, Sebin Vadasserril, Marissa Manhart, Mary Ann Hozak, and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection Three Refining Theories to Improve Measurement \u003c\/b\u003e\u003cb\u003e169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13 Theory and Model Development to Address Pain Relief by Improving Comfort 171\u003cbr\u003e\u003ci\u003eTara Nichols and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Theory and Model Development to Improve Recovery from Opioid Use Disorder 183\u003cbr\u003e\u003ci\u003eAlicia House, Kary Gillenwaters, Tara Nichols, Rebecca Smith,and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection Four International Models to Study Constructs Globally \u003c\/b\u003e\u003cb\u003e197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15 Launching an International Trajectory of Research in Nurse Job Satisfaction, Starting in Jamaica 199\u003cbr\u003e\u003ci\u003eJohn W. Nelson and Pauline Anderson-Johnson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Testing an International Model of Nurse Job Satisfaction to Support the Quadruple Aim 217\u003cbr\u003e\u003ci\u003eJohn W. Nelson, Patricia Thomas, Dawna Cato, Sebahat Gözüm, Kenneth Oja, Sally Dampier, Dawna Maria Perry, Karen Poole, Alba Barros, Lidia Guandalini, Ayla Kaya, Michal Itzhaki, Irit Gantz, Theresa Williamson, and Dominika Vrbnjak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Developing a Customized Instrument to Measure Caring and Quality in Western Scotland 237\u003cbr\u003e\u003ci\u003eTheresa Williamson, Susan Smith, Jacqueline Brown, and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 Measuring the Effectiveness of a Care Delivery Model in Western Scotland 259\u003cbr\u003e\u003ci\u003eTheresa Williamson, Susan Smith, Jacqueline Brown, and John W. Nelson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eEpilogue: Imagining What is Possible 287\u003c\/p\u003e \u003cp\u003eAppendix 291\u003c\/p\u003e \u003cp\u003eReferences 409\u003c\/p\u003e \u003cp\u003eIndex 427\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJohn W. Nelson, PhD, MS, RN, \u003c\/b\u003eis 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 \u003ci\u003eMeasuring Caring\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJayne Felgen, MPA, RN,\u003c\/b\u003e is President Emeritus and Consultant at Creative Health Care Management. She has expertise in Relationship-Based Care\u003csup\u003e®\u003c\/sup\u003e and is the originator of the I\u003csub\u003e2\u003c\/sub\u003eE\u003csub\u003e2\u003c\/sub\u003e implementation strategy.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMary Ann Hozak, MSN, RN, \u003c\/b\u003eis Administrative Director of Cardiology at St. Joseph’s Health in Paterson, New Jersey, USA. She has over 10 years’ experience in Relationship-Based Care\u003csup\u003e®\u003c\/sup\u003e methodology and participated in most of the research projects reported on in this book.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eDiscover a comprehensive overview, from established leaders in the field, of how to use predictive analytics and other analytic methods for healthcare quality improvement.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eUsing Predictive Analytics to Improve Healthcare Outcomes\u003c\/i\u003e 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 how to use existing theory and tools to achieve desired positive outcomes.\u003c\/p\u003e\u003cp\u003eYou will learn how your organization can use predictive analytics to identify the most impactful operational interventions \u003ci\u003ebefore\u003c\/i\u003e changing operations. This includes: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA thorough introduction to data, caring theory, Relationship-Based Care\u003csup\u003e®\u003c\/sup\u003e, the Caring Behaviors Assurance System\u003csup\u003e©\u003c\/sup\u003e, and healthcare operations, including how to build a measurement model and improve organizational outcomes.\u003c\/li\u003e \u003cli\u003eAn 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 \u003ci\u003eproven in advance\u003c\/i\u003e to result in positive outcomes.\u003c\/li\u003e\n\u003cli\u003eDiscussions 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.\u003c\/li\u003e\n\u003cli\u003eAn examination of international organizations using analytics to improve operations within cultural context.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003ci\u003eUsing Predictive Analytics to Improve Healthcare Outcomes\u003c\/i\u003e is perfect for executives, researchers, and quality improvement staff at healthcare organizations, as well as educators teaching mathematics, data science, or quality improvement. Employ this valuable resource that walks you through the steps of managing and optimizing outcomes in your clinical care operations.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990442721509,"sku":"NP9781119747758","price":139.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119747758.jpg?v=1761787847","url":"https:\/\/k12savings.com\/es\/products\/using-predictive-analytics-to-improve-healthcare-outcomes-isbn-9781119747758","provider":"K12savings","version":"1.0","type":"link"}