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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

The Hospital-Acquired Conditions (HAC) program

Yet another method for measuring inpatient care quality is to consider the number of nosocomial or iatrogenic illnesses at that facility. An iatrogenic condition is one that is caused by medical examination or treatment, while a nosocomial illness refers to an illness (usually an infection) originating at a hospital. Often, nosocomial infections are resistant to multiple antibiotics and are quite difficult to treat.

Under the HACRP, which started in 2014, hospitals are penalized 1% of their total Medicare payments if their patients are at a high risk of getting hospital-acquired infections. More specifically, hospitals that meet a certain score threshold based on how often their patients get five common healthcare-acquired infections and their AHRQ Patient Safety Indicator (PSI) 90 composite measure performance are eligible for a...

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