Main description:

With the constant evolution of change in healthcare from both a technology and governmental perspective, it is imperative to take a step back and view the big picture. Relying on hunches or beliefs is no longer sustainable, so avoid jumping to conclusions and making decisions without thoroughly understanding the statistics being analyzed. The triple aim of statistics is a conceptual model laying the foundation for improving healthcare outcomes through statistics. This foundation is: know your numbers; develop behavioral interventions; and set goals to drive change.

With the availability of electronic data sources, the quantity and quality of data have grown exponentially to the point of information overload. Translating all this data into words that tell a meaningful story is overwhelming. This book takes the reader on a journey that navigates through this data to tell a story that everyone can understand and use to drive improvement. Readers will learn to tell a narrative story based on data, to develop creative, innovative and effective solutions to improve processes and outcomes utilizing the authors' tools. Topics include mortality and readmission, patient experience, patient safety survey, governmental initiatives, CMS Star Rating and Hospital Compare.

Storytelling with Data in Healthcare combines methodology and statistics in the same course material, making it coherent and easier to put into practice. It uses storytelling as a tool for knowledge acquisition and retention and will be valuable for courses in nursing schools, medical schools, pharmacy schools or any healthcare profession that has a research design or statistics course offered to students. The book will be of interest to researchers, academics, healthcare professionals, and students in the fields of healthcare management and operations as well as statistics and data visualization.

Contents:

Table of Contents

Introduction

Evolution of Healthcare Analytics

Know Your Numbers

Develop Behavioral Interventions

Set Goals to Drive Change

Research Methods

Reliability

Validity

Scales of Measurement

Sampling Techniques

Research Methodology

Statistical Analysis

Alpha and Type I Error

Beta and Type II Error

Power

Statistical Significance vs Clinical Significance

Descriptive/Inferential Statistics

Measures of Central Tendency

Measures of Dispersion

Parametric/Non-Parametric Statistics

Bridging the Gap between Statistical Methods and Healthcare

Run Charts

Control Charts

Mortality and Readmission

Process and Outcome Metrics

Run/Control Chart Contradiction

Methodologically Testing Your Creativity with Data

Run Charts Methodology

Control Chart Methodology

Patient Satisfaction

Press Ganey

Patient Experience

Behaviors and State of Mind

Survey Methodology

HCAHPS Survey

Results

AHRQ Safety Survey

Why Focus on Patient Safety

Survey Methodology

AHRQ Hospital Survey Methodology

The Past, Present, and Future

Government initiatives/programs

Core Measures and Bundled Treatments

Methodology

Infection/Safety Domain Methodology

CMS STAR rating

Composite an Summary Scores

Process and Outcome Metrics

CMS Star Rating Methodology

Statistical Concepts

CMS Star Statistical Methodology

CMS Hospital Compare

Methodology

Methodology of Data Definitions

Methodology of Statistics

Turn Data Into Action

The Art of a Question

Step Back and Don't Jump to Conclusions

Think Methodologically

Analyze the Metric

Test Your Creativity with Understanding the Data

Insights - Use the Skills Learned to Question What You See

Search for the Critical Questions to Ask

Trending Data to Understand Past, Present, and Future

Inquire Others to Have a Complete Picture of What is Happening

Conclusions - Use All Available Information to Derive Conclusions

Sustainable Solutions - Create Solutions