Goodreads.com Picks Book on Medical Data Analytics Titled "Clinical Intelligence"

Bethesda, MD, August 23, 2016 --(PR.com)-- The first book that combines data analytics methods with clinical data, titled "Clinical Intelligence: The Big Data Analytics Revolution in Healthcare," has been selected by Goodreads.com on its recommended list. The book is a best seller on Amazon.com. It has been selected by universities as a text book for graduate courses in Public Health Management and Data Analytics.

The book includes 10 chapters that study the application of data analytics to medical, data mining, clinical and healthcare data. Each chapter covers a wide range of topics from data curation, data visualization, health quality metrics, financial coding optimization, medical prediction, population health management, clinical pathways, medical coding automation and fraud detection.

"The Clinical Intelligence" book is the result of more than 15 years of experience in clinical data analytics and informatics by Peter Ghavami, Ph.D., a leading international consultant and author of best-selling technology books (www.linkedin.com/in/PeterGhavami). According to Amazon’s sales records, his Clinical Intelligence book is one of the best-selling books in clinical data analytics category.

The book covers topics that are important to big data management and analysis in healthcare. “There are amazing insights and opportunities in clinical data mining,” said Peter Ghavami, Ph.D., “This book is fun and easy to read. It’s a must read for everyone who is interested in monetizing clinical data.”

“Clinical Intelligence is an important book because it packs more than 100 analytics methods and use-cases into one handbook,” remarked Peter Ghavami, Ph.D., “Data mining and machine learning are going to unlock the information in our clinical data in a big way. If we’re serious about improving healthcare and reducing the cost of care, we must apply big data analytics techniques described in this book.”

Hospitals, Pharmaceuticals, Insurance companies and healthcare application providers will benefit from this book as they launch their big data analytics initiatives. They can address their big data analytics needs with the contents of this book.

More information about the book can be found at http://www.amazon.com/Clinical-Intelligence-Analytics-Revolution-Healthcare/dp/1500428590.

The book is written for IT leaders, healthcare executive and practitioners, CIO, CTO, Chief Data Officers, IT professionals, data analysts and data scientists who want to learn modern analytics methods to analyze their big data assets, create data ingestion pipelines, and develop data analytics solutions with healthcare information.

The book packs years of consulting experience and best practices by the author, into a readable and easy to read use-cases and analytics techniques. The book explains challenges with big data analytics, best practices for analyzing clinical data and offers tips to improving performance of big data analytics models.

About the Author: Peter Ghavami, Ph.D. is a world renowned consultant and best-selling author of several IT books. He has been consultant and advisor to many Fortune 500 companies in the world for IT strategy, big data analytics, innovation and new technology development. His book on application of analytics to clinical data titled Clinical Intelligence is a best-selling book in healthcare (https://www.amazon.com/Clinical-Intelligence-Analytics-Revolution-Healthcare/dp/1500428590/) and a book titled Big Data Analytics Methods (https://www.amazon.com/Big-Data-Analytics-Methods-Techniques/dp/1530414830). His first book titled "Lean, Agile and Six Sigma IT Management" is still widely used by IT professionals around the world (https://www.amazon.com/Agile-Sigma-Information-Technology-Management/dp/1440478120/). His books have been selected as text books by several universities. Dr. Ghavami has over 25 years of experience in technology development, IT leadership, data analytics, supercomputing, software engineering and innovation. He can be reached at peter.ghavami@northwestu.edu.