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The Patient Equation : The Data-Driven Future of Precision Medicine and the Business of Health Care.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
de Vries, Glen.
Contributor:
Blachman, Jeremy.
Language:
English
Subjects (All):
Precision Medicine.
Data Collection.
Biomedical Technology.
Monitoring, Ambulatory.
Data Science.
Medical Subjects:
Precision Medicine.
Data Collection.
Biomedical Technology.
Monitoring, Ambulatory.
Data Science.
Physical Description:
1 online resource (291 pages)
Other Title:
Patient Equation
Place of Publication:
Newark : John Wiley & Sons, Incorporated, 2020.
Summary:
How the data revolution is transforming biotech and healthcare--and why you can't afford to let it pass you byWe 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 healthcare as well as crucial insights and strategies to help scientists, physicians, executives, and patients survive and thrive in the current disruptive, tech-driven landscape. The biggest challenge 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. This book shows you how to meet that challenge and embrace the data revolution.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 allow companies to stay ahead of the curve and to deliver solutions faster, cheaper, and more successfully--while still upholding the principles of traditional therapeutic medicine.How one rare disease is leading the way for new approaches to understanding precision medicineWhat it means to build robust, effective disease management platformsWhy value-based reimbursement is changing the business of life sciencesHow the right alignment of incentives will improve outcomes at every stage of the patient journeyWhether you're a scientist, physician, or executive, you can't afford to let the data revolution pass you by: understand the landscape with this must-read roadmap for success--and see how you can change the future of healthcare for the better.
Contents:
Cover
Title Page
Copyright
Contents
Introduction
PART 1 From Hippocrates to Epocrates
Chapter 1 Before We Cured Scurvy
Nanometers to Megameters
Scurvy
The False Promise of Genotype
Your Very Own High‐frequency Medical Device
Notes
Chapter 2 Inside the Equations
Like Lions of the Serengeti
The Layer Cake
Patients Like You, Patients Like Me
Changing the Frequency
Reverse‐engineering the Critical Layers
The Cognitive Dimension
Better Measurements at Virtually No Cost
From Hypothesis Confirmation to Hypothesis Generation
Chapter 3 Fitbits, Smart Toilets, and a Bluetooth‐enabled Self‐driving ECG
Are Apps the New Snake Oil?
Wearables for Panicked Dogs
It's the Equations, Not the Devices
Let's Start with the Thermostat
PART 2 Applying Data to Disease
Chapter 4 Ava-Tracking Fertility, on the Road Toward Understanding All of Women's Health
Enter Ava
The Changing Role of the Patient
The Motivation to Comply
A Man Who Just Can't Ovulate
Finding a Niche in a Crowded Field
Chapter 5 One Breath, One Drop-Asthma and Diabetes, Chronic Conditions Being Conquered with Technology
Out of the Danger Zone
Lowering Barriers to Zero
A Perfectly Artificial Pancreas
Hacking One's Own Device
One Drop at a Time
Chapter 6 Flumoji and Sepsis Watch-Two Approaches to Predicting and Preventing Acute, Life‐threatening Conditions Through Smarter Data
Catching Sepsis Earlier
Partnering with Doctors, Not Replacing Them
Looking Beyond Sepsis
Using Crowdsourcing to Track the Flu
Stopping the Spread of Illness with Data Is Hard
Chapter 7 Cancer and Phage Therapy-Crafting Custom Treatments Just for You
Changing the Way We Look at Cancer
p53‐ologists of the Future.
Or Perhaps Car‐t‐ographers of the Present
Personalized Immunotherapy Beyond Cancer
Chapter 8 Castleman Disease-Not One RareDisease with NoTreatments, ButThree Rare Diseases. . . with Hope,Thanks to Data
Finding Clusters in a Random World
Dr. David Fajgenbaum's Quest for a Cure
Rare Diseases, Common Problems
PART 3 Building Your Own Patient Equations
Chapter 9 The Steam Table
Progressing Toward Alzheimer's Disease...or Maybe Not
When the Measurement and the Therapy Are One and the Same
Steam Tables for Cancer
The Data Problem
From Wellness to Illness-and Back Again
Chapter 10 Good Data
The Failure of Watson
The Mars Climate Orbiter
The Progression to Value
Chapter 11 Changing Clinical Trials
Expanding Access to Trials
Pharma's Lack of Connection to Clinical Care
Truly Patient‐centric Trials
Accepting New Kinds of Data
Unshackling the Clinical Trial
Enter Thomas Bayes
Breaking the Barrier
Synthetic Control Arms
Our Synthetic Control Model
Making Every Trial an Adaptive Trial
A Stroke of Insight
Chapter 12 Disease Management Platforms
The Promise of Mobile Apps
Digital from the Beginning
But It's Not That Easy
Where That Leaves Us
PART 4 Scaling Progress to the World
Chapter 13 The Importance of Collaboration
A Tiny Island or a Larger Ecosystem
How Data Collaboration Can Change the Game
Chapter 14 Value‐based Reimbursement
Beyond Survival
The (Mathematical) Fountain of Youth
Money‐back Guarantee
Making Value‐based Care the Future
Chapter 15 Aligning Incentives
Human Doctors, Digital Doctors
Respecting the Unquantifiable
Empowered Patients
Chapter 16 And Then, a Pandemic
Phase Diagrams Revisited.
Steam Tables, Sensors, and Early Warning Systems
Putting a Spotlight on the Fragility of Our System
A Speedier Road to Modernized Trial Design
The Next Hundred Years
Conclusion
Acknowledgments
About the Authors
Index
EULA.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9781119755753
1119755751
9781119755760
111975576X
9781119622178
1119622174
9781119622277
1119622271
OCLC:
1181842971

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