

Hardcover: 415 pages
Publisher: Auerbach Publications (April 14, 2016)
Language: English
ISBN-10: 1498746357
ISBN-13: 978-1498746359
Product Dimensions: 7.1 x 0.7 x 9.8 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review: 4.0 out of 5 stars See all reviews (4 customer reviews)
Best Sellers Rank: #59,111 in Books (See Top 100 in Books) #9 in Books > Medical Books > Medical Informatics #12 in Books > Computers & Technology > Computer Science > Bioinformatics #48 in Books > Textbooks > Computer Science > Database Storage & Design

This book is one of the most comprehensive writings on Healthcare Informatics that I've read. The author summarily describes the goal of the healthcare industry is to increase delivery of quality care with a simultaneous decrease in cost. How to get there has been the subject of public debate. What’s not debatable is that we have been on a non-sustainable course (with increasing costs and aging population) and that Healthcare Informatics can improve our lot.Why now?The author states that due to 1) Scientific advancements, 2) Digital convergence and 3) The rising cost of healthcare around the world there is an opportunity and need to increase the delivery of quality healthcare with the simultaneous decrease in cost. He is very well versed in the use of data and data analytics from his overall industry experience. I relate and am surprised to see more diagnostic and maintenance care information regarding my automobile than I do on my own health records. Or that my grocer has more buying and consumption information than my own doctor has readily available.The author reviews why the healthcare industry has had more challenges but, now has an even more important need and opportunity. The industry is beginning to unleash a torrent of electronic data and now at the same time there is an increase in sophisticated analytical tools is available. The author reviews traditional analytical tools as well as completely new tools currently in development such as predictive analytics and cognitive computing.
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