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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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 Kumar Kumar
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Kumar
 Khader Khader
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Khader
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface
1. Introduction to Healthcare Analytics FREE CHAPTER 2. Healthcare Foundations 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 1. Other Books You May Enjoy Index

Introduction to healthcare measures


A healthcare measure is a calculation made on the care activities of a provider that indicates the level of quality provided by the caregiver. As providers are increasingly being rewarded based on the quality rather than the quantity of services they provide, healthcare measures are playing a more important role in determining which care providers are rewarded or penalized. The Centers for Medicare and Medicaid Services (CMS) is just one of the federal-level agencies in the United States that publishes standardized measures; in addition, states publish measures as well. Providers calculate the measures using the data of their own patients and then submit their calculations to be audited by the issuing agency. The results partially determine how the providers are reimbursed by the agency.

A typical measure in healthcare is usually a ratio or percentage that correlates with care quality. There are typically two parts that make up a measure: a numerator and...

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