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The Patient Equation

Release Date: 2020/08/01
ISBN: 9781119622147
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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.

Table of Contents

  1. Cover
  2. Introduction
    1. Notes
  3. SECTION 1: From Hippocrates to Epocrates
    1. 1 Before We Cured Scurvy
    2. Nanometers to Megameters
    3. Scurvy
    4. The False Promise of Genotype
    5. Your Very Own High-frequency Medical Device
    6. Notes
    7. 2 Inside the Equations
    8. Like Lions of the Serengeti
    9. The Layer Cake
    10. Patients Like You, Patients Like Me
    11. Changing the Frequency
    12. Reverse-engineering the Critical Layers
    13. The Cognitive Dimension
    14. Better Measurements at Virtually No Cost
    15. From Hypothesis Confirmation to Hypothesis Generation
    16. Notes
    17. 3 Fitbits, Smart Toilets, and a Bluetooth-enabled Self-driving ECG
    18. Are Apps the New Snake Oil?
    19. Wearables for Panicked Dogs
    20. It's the Equations, Not the Devices
    21. Let's Start with the Thermostat
    22. Notes
  4. SECTION 2: Applying Data to Disease
    1. 4 Ava—Tracking Fertility, on the Road Toward Understanding All of Women's Health
    2. Enter Ava
    3. The Changing Role of the Patient
    4. The Motivation to Comply
    5. A Man Who Just Can't Ovulate
    6. Finding a Niche in a Crowded Field
    7. Notes
    8. 5 One Breath, One Drop—Asthma and Diabetes, Chronic Conditions Being Conquered with Technology
    9. Out of the Danger Zone
    10. Lowering Barriers to Zero
    11. A Perfectly Artificial Pancreas
    12. Hacking One's Own Device
    13. One Drop at a Time
    14. Notes
    15. 6 Flumoji and Sepsis Watch—Two Approaches to Predicting and Preventing Acute, Life-threatening Conditions Through Smarter Data
    16. Catching Sepsis Earlier
    17. Partnering with Doctors, Not Replacing Them
    18. Looking Beyond Sepsis
    19. Using Crowdsourcing to Track the Flu
    20. Stopping the Spread of Illness with Data Is Hard
    21. Notes
    22. 7 Cancer and Phage Therapy—Crafting Custom Treatments Just for You
    23. Changing the Way We Look at Cancer
    24. p53-ologists of the Future
    25. Or Perhaps Car-t-ographers of the Present
    26. Personalized Immunotherapy Beyond Cancer
    27. Notes
    28. 8 Castleman Disease—Not One Rare Disease with No Treatments, But Three Rare Diseases…with Hope, Thanks to Data
    29. Finding Clusters in a Random World
    30. Dr. David Fajgenbaum's Quest for a Cure
    31. Rare Diseases, Common Problems
    32. Notes
  5. SECTION 3: Building Your Own Patient Equations
    1. 9 The Steam Table
    2. Progressing Toward Alzheimer's Disease…or Maybe Not
    3. When the Measurement and the Therapy Are One and the Same
    4. Steam Tables for Cancer
    5. The Data Problem
    6. From Wellness to Illness—and Back Again
    7. Notes
    8. 10 Good Data
    9. The Failure of Watson
    10. The Mars Climate Orbiter
    11. The Progression to Value
    12. Notes
    13. 11 Changing Clinical Trials
    14. Expanding Access to Trials
    15. Pharma's Lack of Connection to Clinical Care
    16. Truly Patient-centric Trials
    17. Accepting New Kinds of Data
    18. Unshackling the Clinical Trial
    19. Enter Thomas Bayes
    20. Breaking the Barrier
    21. Synthetic Control Arms
    22. Our Synthetic Control Model
    23. Making Every Trial an Adaptive Trial
    24. A Stroke of Insight
    25. Notes
    26. 12 Disease Management Platforms
    27. The Promise of Mobile Apps
    28. Digital from the Beginning
    29. But It's Not That Easy
    30. Where That Leaves Us
    31. Notes
  6. SECTION 4: Scaling Progress to the World
    1. 13 The Importance of Collaboration
    2. A Tiny Island or a Larger Ecosystem
    3. How Data Collaboration Can Change the Game
    4. Notes
    5. 14 Value-based Reimbursement
    6. Beyond Survival
    7. The (Mathematical) Fountain of Youth
    8. Money-back Guarantee
    9. Making Value-based Care the Future
    10. Notes
    11. 15 Aligning Incentives
    12. Human Doctors, Digital Doctors
    13. Respecting the Unquantifiable
    14. Empowered Patients
    15. Notes
    16. 16 And Then, a Pandemic
    17. Phase Diagrams Revisited
    18. Steam Tables, Sensors, and Early Warning Systems
    19. Putting a Spotlight on the Fragility of Our System
    20. A Speedier Road to Modernized Trial Design
    21. The Next Hundred Years
    22. Notes
  7. Conclusion
    1. Privacy and Transparency
    2. So What's Next?
    3. Notes
  8. Acknowledgments
  9. About the Authors
    1. Glen de Vries
    2. Jeremy Blachman
  10. Index
  11. End User License Agreement
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