Book Image

Healthcare Analytics Made Simple

By : Vikas (Vik) Kumar, Shameer Khader
Book Image

Healthcare Analytics Made Simple

By: Vikas (Vik) Kumar, Shameer 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)

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...