Big Data in Healthcare: Statistical Analysis of the Electronic Health Record

Alemi, Farrokh

ISBN 10: 1640550631 / ISBN 13: 9781640550636

Published by AUPHA/HAP Book, 2020

About this Item

Seller Inventory # 18376501041

Bibliographic Details

• Title: Big Data in Healthcare: Statistical Analysis of the Electronic Health Record
• Publisher: AUPHA/HAP Book
• Publication Date: 2020
• Language: English
• ISBN 10: 1640550631
• ISBN 13: 9781640550636
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Big Data in Healthcare: Statistical Analysis of the Electronic Health Record provides the statistical tools that healthcare leaders need to organize and interpret their data. Designed for accessibility to those with a limited mathematics background, the book demonstrates how to leverage EHR data for applications as diverse as healthcare marketing, pay for performance, cost accounting, and strategic management. Topics include: using real-world data to compare hospitals’ performance; measuring the prognosis of patients through massive data; distinguishing between fake claims and true improvements; comparing the effectiveness of different interventions using causal analysis; benchmarking different clinicians on the same set of patients, and more. This book can be used in introductory courses on hypothesis testing, intermediate courses on regression, and advanced courses on causal analysis. It can also be used to learn SQL language. Its extensive online instructor resources include course syllabi, PowerPoint and video lectures, Excel exercises, individual and team assignments, answers to assignments, and student-organized tutorials. Big Data in Healthcare applies the building blocks of statistical thinking to the basic challenges that healthcare leaders face every day. Prepare for those challenges with the clear understanding of your data that statistical analysis can bring—and make the best possible decisions for maximum performance in the competitive field of healthcare.

About the Author

Dr. Farrokh Alemi, PhD, maintains patents on sentiment analysis, measurement of episodes of illness, and personalized medicine. He is the creator of the widely used multimorbidity index. He is the author of three books, including Decision Analysis for Healthcare Managers (Health Administration Press, 2006).