Using Predictive Analytics to Improve Healthcare Outcomes. (Record no. 27924)
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fixed length control field | 11401nam a22005173i 4500 |
001 - CONTROL NUMBER | |
control field | EBC6675137 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | MiAaPQ |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240724115215.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d | |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr cnu|||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240724s2021 xx o ||||0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119747772 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781119747758 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (MiAaPQ)EBC6675137 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (Au-PeEL)EBL6675137 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1260344698 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | MiAaPQ |
Language of cataloging | eng |
Description conventions | rda |
-- | pn |
Transcribing agency | MiAaPQ |
Modifying agency | MiAaPQ |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | RA407 |
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 610.21 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Nelson, John W. |
245 10 - TITLE STATEMENT | |
Title | Using Predictive Analytics to Improve Healthcare Outcomes. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Newark : |
Name of producer, publisher, distributor, manufacturer | John Wiley & Sons, Incorporated, |
Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Date of production, publication, distribution, manufacture, or copyright notice | ©2021. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (466 pages) |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Cover -- Title Page -- Copyright Page -- Contents -- Contributors -- 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 Caring® 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. |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 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. |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 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. |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 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 Care® 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 GCrosswalk 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. |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 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. |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Appendix BB Correlates of Operations of CBAS with Items from the Healing Compassion Survey-7 Cs NHS Scotland (Staff Version). |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | Description based on publisher supplied metadata and other sources. |
590 ## - LOCAL NOTE (RLIN) | |
Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Medical statistics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Medicine-Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Medicine, Preventive. |
655 #4 - INDEX TERM--GENRE/FORM | |
Genre/form data or focus term | Electronic books. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Felgen, Jayne. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Hozak, Mary Ann. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Print version: |
Main entry heading | Nelson, John W. |
Title | Using Predictive Analytics to Improve Healthcare Outcomes |
Place, publisher, and date of publication | Newark : John Wiley & Sons, Incorporated,c2021 |
International Standard Book Number | 9781119747758 |
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6675137">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6675137</a> |
Public note | Click to View |
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