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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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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

US Medicare value-based programs

In Chapter 2, Healthcare Foundations, we discussed that a fee-for-service (FFS) reimbursement model has been used in medicine, in which physicians are reimbursed by the volume of care they provided rather than the value of that care. More recently, there has been a push toward rewarding providers based on the quality of care rather than the quantity of care given.

In order to facilitate the movement from FFS reimbursement to value-based reimbursement, the CMS has implemented value-based programs. These programs reward or penalize providers for the quality of care that they provide to Medicare patients. In 2018, there are a total of eight such programs. They are the following:

  • The Hospital Value-Based Purchasing (HVBP) program
  • The Hospital Readmission Reduction (HRR) program
  • The Hospital Acquired Conditions (HAC) program
  • The End-Stage Renal...
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