Description
Book SynopsisIn Patient-Centric Analytics in Health Care: Driving Value in Clinical Settings and Psychological Practice, James J. Gillespie and Gregory J. Privitera introduce a framework that explores the utility of analytics for managing care that is based on six key inputs of the health care system: patients, policy makers, providers, pharmacies, pharmaceuticals, and payers. Understanding the roles of these 6 P's and the utility of analytics to promote data-driven decision models can lead to new innovations. These improvements can enhance quality, increase access, and reduce costs, and thereby drive value for the most important stakeholders in health care: the patients. As the accessibility and volume of data continues to increase, there is a growing desire to utilize data to guide and optimize decision-making in health care environments. There is a wealth of data in health care organizations and much of it is not fully utilized. In today's climate, these organizations are under increased regulat
Trade ReviewPatient-Centric Analytics in Health Care is a well-written book that has the perfect balance between basic analytics and practical application. It is easy to read, organized, and informative, and it simplifies concepts and eschews statistical and methodological jargon. I highly recommend this book if you have any interest in healthcare analytics. -- Kristin Lee Sotak, State University of New York at Oswego
This book is perfectly timed to address how healthcare cannot only react to, but also shape, the new landscape that patients and providers must navigate for improved care and outcomes. Service is the backbone of healthcare and by interpreting the data that are collected, we can improve upon the patient's experience. Privitera's & Gillespie's text provides the framework for healthcare agencies and providers to follow to ensure that care is patient centered amidst the financial frenzy. -- Claire Watson, St. Bonaventure University
Table of ContentsSection I: The Landscape of Data Analytics Chapter 1: A Pentagonal Framework for the 6 Ps in Health Care Chapter 2: Taxonomy of Analytics in the Health-Care Space Chapter 3: The Statistical Toolbox for Analytics Chapter 4: Managing Value in Health Care: Adopting a Culture of Analytics Section II: Data Analytics Across the 6 Ps Chapter 5: Data Analytics: Patients Chapter 6: Data Analytics: Policy Makers Chapter 7: Data Analytics: Providers Chapter 8: Data Analytics: Pharmacies Chapter 9: Data Analytics: Pharmaceuticals Chapter 10: Data Analytics: Payers Section III: Best Practices in Data Analytics Chapter 11: Data Quality: Meaningful and Systematic Use Chapter 12: Exposition of Data: Managing Data Queries and Sampling Chapter 13: Driving Actionable Data: Triggers, Indicators, and Statistical Inference Chapter 14: Making Health Care Smarter
