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Product details
File Size: 23947 KB
Print Length: 341 pages
Page Numbers Source ISBN: 1541644638
Publisher: Basic Books; 1 edition (March 12, 2019)
Publication Date: March 12, 2019
Sold by: Hachette Book Group
Language: English
ASIN: B07FMHFGLT
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#6,148 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
In a very insightful book, Topol, builds on the key themes from his previous works - In "Creative Destruction..", he had highlighted the digitizing of all information pertaining to our health and in "Patient Will See..", he had provided a roadmap for new service models that are truly patient-centric. Here, he extends those themes even further and posits that AI, correctly applied, will be transformative to healthcare delivery.That is not necessarily a novel prediction. Numerous authors have highlighted the increasing role of machine-learning/AI in healthcare (and more than a few tech companies have hyped it). Topol acknowledges all that enthusiasm, and using a short set of examples hihglight the value of AI in the first chapter itself. The rest of the book is a systematic expansion of where Topol sees the biggest opportunities in AI are - to the extent he calls it the next industrial revolution.Topol does an excellent job in differentiating clinicians as those that work with and without patterns - these two chapters highlighting the complexities and skill set required to master a cognitive, integrative process is perhaps the most interesting part of the book. These highlight the key assumptions AI developers should (and shouldn't) make while designing their systems. The discussions on how health systems are approaching AI and ML is interesting, but a reader familiar with the academic literature may brush it off as old news; however, Topol manages to convey the key insights and implications that can be extrapolated to other applications. He also provides an interesting take on the role of AI in nutrition and mental health and then becomes very generous with imagination in his discussion on virtual medical assistant.Imaginative, informative, and inspiring - but Topol, almost always ignores the question of "who will pay for it" that has dogged the field of mHealth etc for a while. A reader would have benefited from his expanded views on this issue as well. Overall, an excellent read for anyone remotely interested in healthcare or technology and a wonderful thought-starter for any start-up.
Dr. Topol’s new book, Deep Medicine – How Artificial Intelligence Can Make Healthcare Human Again, is an encyclopedia of the emerging Fourth Industrial Age; a crystal ball in what is about happen in the next era of healthcare. I’m impressed by the detailed references and touching personal and family stories. Centers for Medicare & Medicaid Services (CMS) policy modifications in the past 10 months reveal sweeping changes that fortify Dr. Topol’s vision: May 2018 medical students can document for attending physicians in the health record (MLN MM10412), 2019 ancillary staff members and patients can document the History/medical interview into the health record, 2021 medical providers can document based only on Medical Decision Making or Time (Federal Register Nov, 23, 2018). Part of making healthcare human is also making it fun. The joy of practicing medicine is about to return to the healthcare delivery as computers will be used to empower humanistic traits, not overburden medical professionals with clerical tasks. For patients, you will be heard, understood and personally treated. Deep Medicine is not a vision of what will happen in 50 years as much will start to reveal within the next 5!Bravo Dr. Topol!Michael Warner, DO, CPC, CPCO, CPMA, AAPC Fellow
Eric Topol’s “Deep Medicine – How Artificial Intelligence Can Make Healthcare Human Again†is truly a tour de force in the exciting space of AI and Healthcare. Dr. Topol adroitly weaves in rich vignettes from his personal experience with a number of emerging AI based solutions with elegant demystification of AI across the world of Personalized Medicine.What comes across through this monumental work is Dr Topol’s ability to cut through the clutter of claims in the space and hone in on some of more genuine advancements which actually are beginning to demonstrate clinical efficacy. In this regard, Dr Topol is not coy in taking to task some of the false prophets of AI in the medical space and provides the reader a balanced perspective of what it will take for healthcare to truly become human. A remarkable piece of work that patients, clinicians, Healthcare leaders and Tech players can truly benefit from reading carefully!
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