9781640550636-1640550631-Big Data in Healthcare: Statistical Analysis of the Electronic Health Record (1)

Big Data in Healthcare: Statistical Analysis of the Electronic Health Record (1)

ISBN-13: 9781640550636
ISBN-10: 1640550631
Edition: 1
Author: Farrokh Alemi
Publication date: 2020
Publisher: AUPHA/HAP Book
Format: Hardcover 553 pages
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Book details

ISBN-13: 9781640550636
ISBN-10: 1640550631
Edition: 1
Author: Farrokh Alemi
Publication date: 2020
Publisher: AUPHA/HAP Book
Format: Hardcover 553 pages

Summary

Big Data in Healthcare: Statistical Analysis of the Electronic Health Record (1) (ISBN-13: 9781640550636 and ISBN-10: 1640550631), written by authors Farrokh Alemi, was published by AUPHA/HAP Book in 2020. With an overall rating of 3.6 stars, it's a notable title among other Industries (Hospital Administration, Administration & Medicine Economics) books. You can easily purchase or rent Big Data in Healthcare: Statistical Analysis of the Electronic Health Record (1) (Hardcover, Used) from BooksRun, along with many other new and used Industries books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $16.33.

Description

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.
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