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Using Predictive Analytics to Improve Healthcare Outcomes
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Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
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List of Acronyms
Acknowledgments
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1 Using Predictive Analytics to Move from Reactive to Proactive Management of Outcomes
The Art and Science of Making Data Accessible
Step 1: Identify the Variable of Interest
Step 2: Identify the Things That Relate to the Variable of Interest: AKA, Predictor Variables
Step 3: Organize the Predictor Variables by Similarity to Form a Structural Model
Step 4: Rank Predictor Variables Based on How Directly They Appear to Relate to the Variable of Interest
Step 5: Structure the Predictor Variables into a Model in Order to Visually Communicate Their Relationship to the Variable of Interest
Step 6: Evaluate if and/or Where Data on the Predictor Variables Is Already Being Collected (AKA, Data Discovery)
Step 7: Find Ways to Measure Predictor Variables Not Currently Being Measured
Step 8: Select an Analytic Method
Step 9: Collect Retrospective Data Right Away and Take Action
Step 10: Examine Data Before Analysis
Step 11: Analyze the Data
Step 12: Present Data to the People Who Work Directly With the Variable of Interest, and Get Their Interpretation of the Data
Step 13: Respecify (Correct, Refine, and/or Expand) the Measurement Model
Step 14: Repeat Steps 2–13 if Explained Variance Declines
Step 15: Interface and Automate
Step 16: Write Predictive Mathematical Formulas to Proactively Manage the Variable of Interest
Summary 1: The “Why”
Summary 2: The Even Bigger “Why”
Implications for the Future
2 Advancing a New Paradigm of Caring Theory
Maturation of a Discipline
Theory
Caring Theory
Sociotechnical Systems Theory
Frameworks of Care
RBC's Four Decades of Wisdom
The Three Key Relationships in Relationship‐Based Care
Relationship with Self/Care of Self
Relationship with Colleagues/Care of Colleagues
Relationship with Patients and Families/Care of Patients and Families
Responsibility + Authority + Accountability (R+A+A)
Responsibility
Authority
Accountability
Clarity of Self, Role, and System
Clarity of Self
Clarity of Role
Clarity of System
Primary Nursing
Summary
Note
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
Education Levels of PSI RNs
Recognition of Excellence
Summary
4 Leadership for Improved Healthcare Outcomes
Data as a Tool to Make the Invisible Visible
Identifying a Bully
Managers Who Are “Buddies”
Using Data to Bring Objectivity to Sensitive Topics
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
Note
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