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The Patient Equation: The Precision Medicine Revolution in the Age of COVID-19 and Beyond 1st Edition, Kindle Edition
How the data revolution is transforming biotech and health care, especially in the wake of COVID-19—and why you can’t afford to let it pass you by
We are living through a time when the digitization of health and medicine is becoming a reality, with new abilities to improve outcomes for patients as well as the efficiency and success of the organizations that serve them. In The Patient Equation, Glen de Vries presents the history and current state of life sciences and health care as well as crucial insights and strategies to help scientists, physicians, executives, and patients survive and thrive, with an eye toward how COVID-19 has accelerated the need for change. One of the biggest challenges facing biotech, pharma, and medical device companies today is how to integrate new knowledge, new data, and new technologies to get the right treatments to the right patients at precisely the right times—made even more profound in the midst of a pandemic and in the years to come.
Drawing on the fascinating stories of businesses and individuals that are already making inroads—from a fertility-tracking bracelet changing the game for couples looking to get pregnant, to an entrepreneur reinventing the treatment of diabetes, to Medidata's own work bringing clinical trials into the 21st century—de Vries shares the breakthroughs, approaches, and practical business techniques that will allow companies to stay ahead of the curve and deliver solutions faster, cheaper, and more successfully—while still upholding the principles of traditional therapeutic medicine and reflecting the current environment.
- How new approaches to cancer and rare diseases are leading the way toward precision medicine
- What data and digital technologies enable in the building of robust, effective disease management platforms
- Why value-based reimbursement is changing the business of life sciences
- How the right alignment of incentives will improve outcomes at every stage of the patient journey
Whether you're a scientist, physician, or executive, you can't afford to let the moment pass: understand the landscape with this must-read roadmap for success—and see how you can change health care for the better.
- ISBN-13978-1119755753
- Edition1st
- PublisherWiley
- Publication date23 July 2020
- LanguageEnglish
- File size3.3 MB
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Product description
From the Inside Flap
We are in the midst of a biological and technological revolution in which the digitization of health and medicine is becoming a reality. Everyone across the industry spectrum―life science and technology companies, hospitals and health care providers, biotech researchers and entrepreneurs―is making significant progress applying data to health and disease, attempting to match the right treatments to the right patients at the right times and dramatically enhance quality of life―and COVID-19 has further illustrated the need for change. From apps and wearables to entirely new approaches to clinical trials, digital technologies are transforming every aspect of the industry. The Patient Equation examines the history, current status, and future role of data in health care and life sciences, with an eye toward what ought to be on the minds of business leaders, scientists, physicians, policy makers, stakeholders, and patients.
Drawing from his two decades of practical experience and leadership in the life sciences industry, author Glen de Vries explains what you need to understand in order to succeed in this rapidly-changing landscape. Featuring real-life stories of businesses and individuals already making incredible progress applying data and analytics to help solve a range of conditions, this book illustrates the business necessity of staying ahead of the technology curve and combining data-driven precision medicine with the traditional principles of therapeutic health care.
As data-driven precision medicine continues to transform the way treatments are developed, delivered, and applied, understanding digital technologies is critical for everyone in the business of health care. Whether you're an industry leader, health care practitioner, or simply a person looking to live a longer, healthier life, The Patient Equation will help you seize the opportunity to take full advantage of the present breakthroughs and understand how the future is set to unfold.
From the Back Cover
HOW TO EMBRACE THE DATA REVOLUTION TO DELIVER FASTER, CHEAPER, AND MORE EFFECTIVE SOLUTIONS IN LIFE SCIENCES AND HEALTH CARE
Digital transformation is changing the business of health care at breakneck speed accelerated even further in the wake of COVID-19. Across the industry, from biotech and pharmaceutical companies to hospital systems, insurers, and more, everyone is looking for the next big technological innovations to develop new treatments, enhance care, improve outcomes, maximize efficiency, and increase value in our data-powered world. How did we get here, and what does the future hold?
The Patient Equation: The Precision Medicine Revolution in the Age of COVID-19 and Beyond explores the history, current state, and future direction of the use of data in biotechnology and health care. Author Glen de Vries, co-founder of the leading cloud platform for life sciences research, shares his insights and leadership on precision medicine and the digital landscape of the future. Designed to help anyone in the business of life sciences navigate our complex world, this practical guide explains the principles, approaches, and business models that are crucial for keeping pace with the ongoing revolution in data and analytics. Throughout the book, real-life stories show you what individuals and organizations are doing to ensure the data revolution does not pass them by, from wearables to track fertility to apps to conquer diabetes, from AI-powered sepsis alerts to using breakthrough new data strategies in clinical trials.
A must-have resource for anyone interested in the future of life sciences and health care, The Patient Equation:
- Covers the world of precision medicine, from the individual patient to the global population
- Explains the fundamentals of patient equations and data collection and analysis
- Discusses current progress and the most effective strategies to achieve future breakthroughs
- Examines approaches to predicting and preventing disease using smart data
- Illustrates why value-based reimbursement is the model of the future
- Describes how data and technology will help us conquer everything from chronic conditions to cancer to rare diseases to pandemic illness
Product details
- ASIN : B08DRQ7TXY
- Publisher : Wiley
- Accessibility : Learn more
- Publication date : 23 July 2020
- Edition : 1st
- Language : English
- File size : 3.3 MB
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Enabled
- Print length : 288 pages
- ISBN-13 : 978-1119755753
- Page Flip : Enabled
- Best Sellers Rank: 1,645,535 in Kindle Store (See Top 100 in Kindle Store)
- 233 in Medical Research
- 1,064 in Medical Administration & Policy
- 5,456 in Basic Medical Science (Books)
- Customer reviews:
About the author

Glen de Vries is co-CEO and co-founder of Medidata, the most-used platform for clinical trials around the world. Glen has been driving Medidata’s mission since the company’s inception in 1999, “powering smarter treatments and healthier people” by advancing pharmaceutical business transformation with technology, non-traditional ways of thinking, and industry collaboration. In 2019, in one of the largest health care technology acquisitions in history, Medidata became part of Dassault Systèmes. Glen’s academic publications have appeared in Applied Clinical Trials, Cancer, The Journal of Urology, Molecular Diagnostics, and other journals. He serves as a trustee of Carnegie Mellon University, and is the author of The Patient Equation (de Vries & Blachman, 2020).
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K. ShapiroReviewed in the United States on 17 October 20205.0 out of 5 stars Perfect roadmap for improving medical care
Format: HardcoverVerified PurchaseI unfortunately have had to enter the field of cancer care due to the diagnosis of my wife. I have jumped in with both feet and over three years have met top doctors across the world that focus on her disease. We have done much of what DeVries suggests as necessary in terms of trying to create personalized treatments and to do deep research to identify drivers of her disease and to use this info to then identify possible treatment options and trials. DeVries does an amazing job discussing the potential for personalized medicine and the need for pharma and health care organizations to come together to collaborate to better serve patients and more successfully and rapidly come up with new treatments to save more patients. This is a great read and a roadmap to what must be done in the health care world to wipe out diseases that have plagued us for far too long.
NeetuReviewed in the United States on 6 October 20205.0 out of 5 stars A must read!
Format: HardcoverVerified PurchaseAn excellent read! Very well researched, well written, interesting read.
This book is a great read for anyone interested in patient-centric, data driven approach and how technology esp. medical/tech gadgets can improve the lives of patient, and our community.
It covers a wide range of synergies between technology, data, and clinical trials. A wondeful overview of how the industry has transformed/evolved in last few decades, how our smartphones and tech-gadgets have changed the way we look at our fitness goals.
Highly recommend to those of us who are working in Pharma/Healthcare industry trying to make things easier and better for patients— who, ultimately, are all of us!
JulieReviewed in the United States on 2 November 20205.0 out of 5 stars Very satisfied
Format: HardcoverVerified PurchaseA life sciences book with heart and soul. Unique, well-researched, and thoughtful. We are all patients here, deserving of personalized, high quality healthcare, care in general, hope, and respect. I liken this book to classics such as The Joy of Cooking and Alice in Wonderland. Versions 10.0.