Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Del

ISBN-13: 9780128100622 / Angielski / Miękka / 2016 / 1110 str.

Linda Miner; Pat Bolding; Joseph Hilbe

Opis

With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost-efficient manner. Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions.

• Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical research
• Provides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computations
• Demonstrates methods to help sort through data to make better observations and allow you to make better predictions

Recenzje

"...strongly recommended to researchers or healthcare administrators to improve their data analysis skills and help them make more accurate and cost-effective decisions. Score: 84 - 3 Stars" --Doody's

"In-depth and eye-opening, this seminal tome serves both the healthcare professional and the analyst: If you are a healthcare provider, researcher, or administrator, this handbook will motivate and guide your data-crunching; if you are an analytics expert, this industry overview will illuminate the pertinent background you need from the complex and dynamic healthcare industry. To get a grip on the predictive healthcare revolution, one must begin with this book's comprehensive 26 chapters and 33 hands-on tutorials." --Eric Siegel, Ph.D., founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

Spis treści

PART I: Historical Perspective and the Issues of Concern for Health Care Delivery in the 21st Century

PART II: Practical step-by-step TUTORIALS and CASE STUDIES

PART III: PRACTICAL SOLUTIONS and ADVANCED TOICS in Administration and Delivery of Health Care including PRACTICAL PREDICTIVE ANALYTICS for MEDICINE