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Healthcare Analytics Made Simple

Healthcare Analytics Made Simple

By : Kumar, Khader
4.4 (8)
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Healthcare Analytics Made Simple

Healthcare Analytics Made Simple

4.4 (8)
By: Kumar, Khader

Overview of this book

In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples.
Table of Contents (11 chapters)
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The Merit-Based Incentive Payment System (MIPS)

MIPS is a value-based program for individual and group outpatient physician practices. It is a program that started in 2017, and it was enacted by the MACRA Act of 2015. Together with the APMs program, MIPS comprises Medicare's Quality Payment Program (QPP). It replaces and consolidates previous value-based programs, such as the Physician Quality Reporting System (PQRS) and the Value Modifier (VM) program. Provider groups are required to participate in MIPS if they bill a certain amount from or have a certain amount of Medicare patients. In MIPS, providers are evaluated based on four categories:

  • Quality
  • Advancing care information
  • Improvement activities
  • Cost

The breakdown for determining a practice's final MIPS score for 2017 is the following: 60% quality, 25% advancing care information, and 15% improvement activities...

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