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Bestseller
BestsellerE-book

Title Using predictive analytics to improve healthcare outcomes / edited by John W. Nelson, Jayne Felgen, Mary Ann Hozak.

Publication Info. Hoboken : John Wiley & Sons, Inc., 2021.

Item Status

Description 1 online resource
text file
Contents Foreword -- Preface: Bringing the Science of Winning to Healthcare -- List of Acronyms -- Acknowledgments -- Section One. Data, Theory, Operations, and Leadership -- Chapter 1. Using Predictive Analytics to Move from Reactive to Proactive Management of Outcomes -- The Art and Science of Making Data Accessible -- Summary 1: The "Why" -- Summary 2: The Even Bigger "Why" -- Implications for the Future -- Chapter 2. Advancing a New Paradigm of Caring Theory -- Maturation of a Discipline -- Theory -- Frameworks of Care -- RBC's Four Decades of Wisdom -- Summary -- Chapter 3. Cultivating a Better Data Process for More Relevant Operational Insight -- Taking on the Challenge -- "PSI RNs": A Significant Structural Change to Support Performance and Safety Improvement Initiatives and Gain More Operational Insight -- The Importance of Interdisciplinary Collaboration in Data Analysis -- Key Success Factors -- Summary -- Chapter 4. Leadership for Improved Healthcare Outcomes -- Data as a Tool to Make the Invisible Visible -- Leaders Using Data for Inspiration: Story 1 -- Leaders Using Data for Inspiration: Story 2 -- How Leaders Can Advance the Use of Predictive Analytics and Machine Learning -- Understanding an Organization's "Personality" Through Data Analysis -- Section Two Analytics in Action -- Chapter 5. Using Predictive Analytics toReduce Patient Falls -- Predictors of Falls, Specified in Model 1 -- Lessons Learned from This Study -- Respecifying the Model -- Summary -- Chapter 6. Using the Profile of CaringĀ® to Improve Safety Outcomes -- The Profile of Caring -- Machine Learning -- Exploration of Two Variables of Interest: Early Readmission for Heart Failure and Falls -- Proposal for a Machine Learning Problem -- Constructing the Study for Our Machine Learning Problem.
Chapter 7. Forecasting Patient Experience: Enhanced Insight Beyond HCAHPS Scores -- Methods to Measure the Patient Experience -- Results of the First Factor Analysis -- Implications of This Factor Analysis -- Predictors of Patient Experience -- Discussion -- Transforming Data into Action Plans -- Summary -- Chapter 8. Analyzing a Hospital-Based Palliative Care Program to Reduce Length of Stay -- Building a Program for Palliative Care -- The Context for Implementing a Program of Palliative Care -- Building a Model to Study Length of Stay in Palliative Care -- Demographics of the Patient Population for Model 1 -- Results from Model 1 -- Respecifying the Model -- Discussion -- Chapter 9. Determining Profiles of Risk to Reduce Early Readmissions Due to Heart Failure -- Step 1: Seek Established Guidelines in the Literature -- Step 2: Crosswalk Literature with Organization's Tool -- Step 3: Develop a Structural Model of the 184 Identified Variables -- Step 4: Collect Data -- Details of the Study -- Limitations of the Study -- Results: Predictors of Readmission in Fewer Than 30 Days -- Next Steps -- Chapter 10. Measuring What Matters in a Multi-Institutional Healthcare System -- Testing a Model of Caring -- Further Discussion -- Summary -- Chapter 11. Pause and Flow: Using Physics to Improve the Efficiency of Workflow -- Types of Pause -- Types of Flow -- Methods -- Sample Size and Response Rates -- What We Learned About Pause -- What We Learned About Flow -- Application of Results to Operations -- Reflections from the Medical Unit-R6S -- Analyzing Pause and Flow of Work as a Method of Quality Improvement -- Summary and Next Steps -- Chapter 12. Lessons Learned While Pursuing CLABSI Reduction -- Development of a Specified Model of Measurement for Prevention of CLABSI -- First Lesson Learned: Quality Data Collection Requires Well-Trained Data Collectors.
Other Lessons Learned -- Summary and Next Steps -- Section Three Refining Theories to Improve Measurement -- Chapter 13. Theory and Model Development to Address Pain Relief by Improving Comfor t -- A New Theory -- Developing a New Model Based on a New Theory -- Clinicians' Beliefs Drive Their Practice -- Dimensions of Comfort -- Predictors of Comfort -- The Model -- Summary -- Chapter 14. Theory and Model Development to Improve Recovery from Opioid Use Disorder -- The Current Costs of Opioid Use Disorder (OUD) -- Interventions for OUD -- Pain Management, OUD, and Therapeutic Relationships -- Interventions Which Include Potential Trusted Others -- Existing OUD Measurement Instruments -- Updating the Old OUD Measurement Instrument and Model to Include the Trusted Other -- Discussion -- Conclusion -- Section Four International Models to Study Constructs Globally -- Chapter 15. Launching an International Trajectory of Research in Nurse Job Satisfaction, Starting in Jamaica -- Background -- The Hunch: Where Measurement Begins -- The Model -- Understanding the Context of Jamaica -- Methods to Study Job Satisfaction and Clarity in Jamaica -- Managing Disappointment with the Low Response Rate -- Results on the Social and Technical Dimensions of Nurse Job Satisfaction in Jamaica -- Results on the Relationship of Role Clarity and Demographics to Nurse Job Satisfaction in Jamaica -- Application of the Findings -- Chapter 16. Testing an International Model of Nurse Job Satisfaction to Support the Quadruple Aim -- The Four Goals of Our Study -- Methods -- Theoretical Framework -- Measurement Instruments and a Model of Measurement -- Order of Operations of the Study -- Simplifying the Model -- Respecifying the Model to Include Caring -- Results from Model 2 -- How Job Satisfaction Relates to Turnover and Sick Time -- Recommendations Based on Findings.
Chapter 17. Developing a Customized Instrument to Measure Caring and Quality in Western Scotland -- Developing an Instrument to Measure Caring as Perceived by the Patient -- Results -- Discussion -- Chapter 18. Measuring the Effectiveness of a Care Delivery Model in Western Scotland -- The Caring Behaviors Assurance System (CBAS) -- Implementation of CBAS -- Measurement of CBAS -- Findings from the PCQI, the Operations of CBAS Assessment, and the HES -- Action Planning -- Discussion -- Epilogue: Imagining What Is Possible -- Appendix A. Worksheets Showing the Progression from a Full List of Predictor Variables to a Measurement Model -- Appendix B. The Key to Making Your Relationship-Based CareĀ® Implementation Sustainable Is "I2E2" -- Appendix C. Calculation for Cost of Falls -- Appendix D. Possible Clinical, Administrative, and Psychosocial Predictors of Readmission for Heart Failure in Fewer Than 30 Days After Discharge -- Appendix E. Process to Determine Variables for Lee, Jin, Piao, & -- Lee, 2016 Study -- Appendix F. Summary of National and International Heart Failure Guidelines -- National Institute for Health and Care Excellence (NICE) Guidelines -- European Society of Cardiology (ESC), Acute and Chronic Heart Failure Guidelines -- American College of Cardiology Foundation (ACCF)/American Heart Association (AHA), 2013 and 2017 Guidelines for Management of Heart Failure -- Appendix G.Crosswalk Hospital Tool and Guidelines -- Appendix H. Comprehensive Model of 184 Variables Found in Guidelines and Hospital Tool -- Appendix I. Summary of Variables That Proved Insignificant After Analysis -- Appendix J. Summary of Inconclusive Findings -- Appendix K. Nine Tools for Measuring the Provision of Quality Patient Care and Related Variables -- Three Tools for Assessing "Caring for the Patient" As Perceived By the Patient.
Three Tools for Assessing "Caring for the Patient" as Perceived By Staff Members -- Tools to Measure Self-Care -- Nurse Job Satisfaction -- and Clarity of Self, Role, and System -- Appendix L. Data From Pause and Flow Study Related to Participants' Ability to Recall Moments of Pause and Flow Easily or with Reflection -- Appendix M. Identified Pauses and Proposed Interventions Resulting from a Pause and Flow Study -- Appendix N. Factors Related to a Focus on Pain Versus Factors Related to a Focus on Comfort -- Appendix O. Comfort/Pain Perception Survey(CPPS)-Patient Version -- Appendix P. Comfort/Pain Perception Survey (CPPS)-Care Provider Version -- Appendix Q. Predictors of OUD -- Appendix R. Personal Qualities of Clinicians and Others Suited to Become Trusted Others -- Modeling "Not Knowing" -- Cultivating Self-Awareness -- Commitment to Perspective-Seeking -- Appendix S. Qualities of Systems and Organizations Suited to Serve People Recovering from OUD -- Advancing a Culture in Which "Not Knowing" Is Accepted -- Advancing a Culture in Which Systemic Awareness Is Actively Sought -- Advancing a Culture in Which Perspective Seeking Is Prized -- Appendix T. Factor Loadings for Satisfaction with Staffing/Scheduling and Resources -- Appendix U. Detail Regarding Item Reduction of Instruments to Measure Caring -- Appendix V. Factor Loading for Items in the Healing Compassions Assessment (HCA) for Use in Western Scotland -- Appendix W. Factor Loadings of the Caring Professional Scale for Use in Western Scotland -- Appendix X. Factor Loadings for the Healing Compassion Survey-7Cs NHS Scotland (Staff Version) -- Appendix Y. Factor Analysis and Factor Ranking for Survey Items Related to Caring for Self and Caring of the Senior Charge Nurse -- Appendix Z. Demographics, Particularly Ward, as Predictors of Job Satisfaction -- Appendix AA. Demographic as Predictors of clarity.
Access Concurrent user level: 1 user
Subject Medical statistics.
Medical statistics.
Medicine -- Data processing.
Medicine -- Data processing.
Medicine -- Research.
Medicine -- Research.
Medicine, Preventive.
Medicine, Preventive.
Predictive analytics.
Predictive analytics.
Genre/Form Electronic books.
Added Author Nelson, John W., editor.
Felgen, Jayne, editor.
Hozak, Mary Ann, editor.
ISBN 1119747805
9781119747802 (electronic book)
9781119747772 (paperback)