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

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About this eTextbook

Big Data in Healthcare Statistical Analysis of the Electronic Health Record 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 • Remove confounding in observational data 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.

Publication details

Author: Farrokh Alemi
Publisher: AUPHA/HAP Book
eText ISBN: 9781640550643, 164055064X
Print ISBN: 9781640550636, 1640550631

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About this eTextbook

Big Data in Healthcare Statistical Analysis of the Electronic Health Record 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 • Remove confounding in observational data This book can be used in introductory courses on hypothesis testing, intermediate courses on regression, and advanced courses on causal analysis.

Publication details

Author: Farrokh Alemi
Publisher: AUPHA/HAP Book
eText ISBN: 9781640550643, 164055064X
Print ISBN: 9781640550636, 1640550631

What you receive

A licensed digital edition of this title, supplied as PDF or EPUB. The format is set by the publisher, so email us the ISBN before ordering and we will confirm which one it is.
Delivered to the email address on your order as a secure download link, usually within minutes and always within 24 hours of payment.
Download links do not expire and there is no cap on re-downloads. Readable on any computer, tablet or phone, online or offline.
This is a digital edition. Nothing is printed, packed or posted, and there is no delivery charge.