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

Name: Big Data in Healthcare: Statistical Analysis of the Electronic Health Record
SKU: 978-1640550636
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$39.99

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. Big Data in Healthcare: Statistical Analysis of the Electronic Health Record is written by Farrokh Alemi and published by AUPHA/HAP Book. ISBNs for Big Data in Healthcare are 9781640550643, 164055064X and the print ISBNs are 9781640550636, 1640550631.

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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.
Big Data in Healthcare: Statistical Analysis of the Electronic Health Record is written by Farrokh Alemi and published by AUPHA/HAP Book. ISBNs for Big Data in Healthcare are 9781640550643, 164055064X and the print ISBNs are 9781640550636, 1640550631.

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

Original price was: $85.50.Current price is: $29.92.

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.Product details Publisher: Health Administration Press; 1 edition (February 18, 2020) Publication Date: February 18, 2020

Order Processing Time

Shipping Methods and Carriers

Zetlly partners exclusively with reputable shipping carriers to ensure timely delivery of your orders. We utilize:

FedEx
UPS
USPS

The choice of carrier is determined by factors such as destination, weight, and delivery timeframe to provide optimal service.

Shipping Rates and Fees

Free shipping is provided for all orders over $199.
Orders under $199 will incur a flat-rate shipping fee of $7.99.
All orders shipped within the United States will be subject to a sales tax charge of 5%.

Estimated Delivery Time

Shipping Restrictions

Tracking Your Order

Please allow up to 48 hours for tracking information to update in the carrier’s system.

Eligibility for Returns and Exchanges

How to Return or Exchange an Item

To initiate a return or exchange, please follow these steps:

Contact our customer support at contact@zetlly.com with your order number and reason for return or exchange.
Our team will respond within 24 hours to provide detailed instructions, including the specific Return Address for your shipment.
Package your item securely and include all original packaging and proof of purchase.

Return shipments should be sent to: Blanq LLC 1201 South Hope Street Apt 2413, Los Angeles, CA 90015, USA

Return Conditions

Items must be returned in their original condition, unworn, undamaged, and complete with all original packaging and documentation.
Items returned without prior authorization or not meeting the above conditions may not qualify for a refund or exchange.

Return Shipping Costs

Non-Returnable Items

The following items cannot be returned:

Digital products (e-books or downloadable content)
Personalized or customized items
Gift cards

Accepted Payment Methods

Zetlly accepts the following secure and widely trusted payment options:

PayPal: Easily pay through your PayPal account, benefiting from secure transactions and buyer protection.
Stripe: Pay securely using major credit and debit cards including Visa, MasterCard, American Express, and Discover via Stripe’s encrypted payment gateway.

Payment Security

Zetlly does not store any credit card or sensitive financial information directly on our servers, further enhancing the security and protection of your personal data.

Payment Process and Confirmation

Please retain this confirmation email for your records and reference in case of any inquiries or disputes.

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.Product details Publisher: Health Administration Press; 1 edition (February 18, 2020) Publication Date: February 18, 2020