The Health Care Data Guide

The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes. Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes. Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data. Companion Web site: www.josseybass.com/go/provost

Explains the source and content of administrative healthcare data, which is the product of financial reimbursement for healthcare services. The book integrates the business knowledge of healthcare data with practical and pertinent case studies as shown in SAS Enterprise Guide.

Written by an internationally-recognized expert in the field of quality management, this book will serve as your guide for planning and implementing a successful quality measurement program in your healthcare facility. It begins by presenting an overview of the context for quality measurement, the forces influencing the demand for quality reform, how to listen to the voice of the customer, and the characteristics of quality that customers value most. You'll also learn how to select and define indicators to collect data and how to organize data into a dashboard that can provide feedback on your progress toward quality measurement. Finally, this book shows you how to analyze your data by detailing how variation lives in your data, and whether this variation is acceptable. Case studies are provided to demonstrate how quality measurement can be applied to clinical as well as operational aspects of healthcare delivery.

In illuminating detail,Winter offers a consumer guide to health care in the U.S. that includes performance metrics by state, patient safety rankings for hospitals, statewide surveys on patient safety laws, analysis of high quality centers for medical tourism, state licensing requirements for holistic health care, and information on the 2010 health care reforms with 2014 implementation guidelines.

This new edition of this bestselling guide offers an integrated approach to process improvement that delivers quick and substantial results in quality and productivity in diverse settings. The authors explore their Model for Improvement that worked with international improvement efforts at multinational companies as well as in different industries such as healthcare and public agencies. This edition includes new information that shows how to accelerate improvement by spreading changes across multiple sites. The book presents a practical tool kit of ideas, examples, and applications.

In the early days of the 20th century, department store magnate JohnWanamaker famously said, "I know that half of my advertising doesn'twork. The problem is that I don't know which half." That remainedbasically true until Google transformed advertising with AdSense basedon new uses of data and analysis. The same might be said about healthcare and it's poised to go through a similar transformation as newtools, techniques, and data sources come on line. Soon we'll makepolicy and resource decisions based on much better understanding ofwhat leads to the best outcomes, and we'll make medical decisionsbased on a patient's specific biology. The result will be betterhealth at less cost. This paper explores how data analysis will help us structure thebusiness of health care more effectively around outcomes, and how itwill transform the practice of medicine by personalizing for eachspecific patient.

Written by an internationally-recognized expert in the field of quality management, this text is an essential guide for understanding how to plan and implement a successful quality measurement program in your healthcare facility. It begins by presenting an overview of the context for quality measurement, the forces influencing the demand for quality reform, how to listen to the voice of the customer, and the characteristics of quality that customers value most. Students will also learn how to select and define indicators to collect data and how to organize data into a dashboard that can provide feedback on progress toward quality measurement. Finally, this book explores how to analyze the data by detailing how variation lives in your data, and whether this variation is acceptable. Case studies are provided to demonstrate how quality measurement can be applied to clinical as well as operational aspects of healthcare delivery.