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Healthcare Analytics Made Simple

You're reading from   Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781787286702
Length 268 pages
Edition 1st Edition
Languages
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Authors (2):
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Vikas (Vik) Kumar Vikas (Vik) Kumar
Author Profile Icon Vikas (Vik) Kumar
Vikas (Vik) Kumar
Shameer Khader Shameer Khader
Author Profile Icon Shameer Khader
Shameer Khader
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Healthcare Analytics 2. Healthcare Foundations FREE CHAPTER 3. Machine Learning Foundations 4. Computing Foundations – Databases 5. Computing Foundations – Introduction to Python 6. Measuring Healthcare Quality 7. Making Predictive Models in Healthcare 8. Healthcare Predictive Models – A Review 9. The Future – Healthcare and Emerging Technologies 10. Other Books You May Enjoy

Other value-based programs

Aside from the value-based programs discussed above that are administered by the CMS, there are also additional programs that are administered by other agencies. Let's take a look at those here.

The Healthcare Effectiveness Data and Information Set (HEDIS)

The HEDIS is used to measure the quality of health insurance plans. It is administered by the National Committee for Quality Assurance (NCQA). The HEDIS includes approximately 90 measures that cover virtually every medical specialty. Many of the measures share features with those already discussed previously, or with the 271 measures found in the clinical care category of MIPS.

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