9780367333713-0367333716-AI in Health: A Leader’s Guide to Winning in the New Age of Intelligent Health Systems (HIMSS Book Series)

AI in Health: A Leader’s Guide to Winning in the New Age of Intelligent Health Systems (HIMSS Book Series)

ISBN-13: 9780367333713
ISBN-10: 0367333716
Edition: 1
Author: Tom Lawry
Publication date: 2020
Publisher: HIMSS Publishing
Format: Paperback 202 pages
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Book details

ISBN-13: 9780367333713
ISBN-10: 0367333716
Edition: 1
Author: Tom Lawry
Publication date: 2020
Publisher: HIMSS Publishing
Format: Paperback 202 pages

Summary

AI in Health: A Leader’s Guide to Winning in the New Age of Intelligent Health Systems (HIMSS Book Series) (ISBN-13: 9780367333713 and ISBN-10: 0367333716), written by authors Tom Lawry, was published by HIMSS Publishing in 2020. With an overall rating of 3.8 stars, it's a notable title among other Information Management (Processes & Infrastructure, Management & Leadership) books. You can easily purchase or rent AI in Health: A Leader’s Guide to Winning in the New Age of Intelligent Health Systems (HIMSS Book Series) (Paperback) from BooksRun, along with many other new and used Information Management books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.27.

Description

We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided.

As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings.

This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operational, and financial performance.

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