Reading Our Minds: The Rise of Big Data Psychiatry
What is psychiatry and how can we improve it?

In the last hundred years, most of the medical sciences have progressed in immense and unforeseeable ways—except for psychiatry, which has somehow remained immune to this progress. Daniel Barron, a psychiatrist who trained at the Yale School of Medicine, asks an important question: What’s holding psychiatry back?

Reading Our Minds takes us to a psychiatric hospital, where Barron evaluates a young woman with psychosis, and shows how his exam is limited by his own ability to ask questions and observe, and by his patient’s ability to sense, interpret, and report her experience. Barron shows why psychiatry must move beyond conversation—and how sensors, measurements, and algorithms might progress psychiatric practice. At once pioneering and engaging, Reading Our Minds introduces readers to the Big Data technologies that might revolutionize the way we evaluate, diagnose, and treat mental illness and bring psychiatry firmly into the fold of 21st-century medical science.
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Reading Our Minds: The Rise of Big Data Psychiatry
What is psychiatry and how can we improve it?

In the last hundred years, most of the medical sciences have progressed in immense and unforeseeable ways—except for psychiatry, which has somehow remained immune to this progress. Daniel Barron, a psychiatrist who trained at the Yale School of Medicine, asks an important question: What’s holding psychiatry back?

Reading Our Minds takes us to a psychiatric hospital, where Barron evaluates a young woman with psychosis, and shows how his exam is limited by his own ability to ask questions and observe, and by his patient’s ability to sense, interpret, and report her experience. Barron shows why psychiatry must move beyond conversation—and how sensors, measurements, and algorithms might progress psychiatric practice. At once pioneering and engaging, Reading Our Minds introduces readers to the Big Data technologies that might revolutionize the way we evaluate, diagnose, and treat mental illness and bring psychiatry firmly into the fold of 21st-century medical science.
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Reading Our Minds: The Rise of Big Data Psychiatry

Reading Our Minds: The Rise of Big Data Psychiatry

by Daniel Barron
Reading Our Minds: The Rise of Big Data Psychiatry

Reading Our Minds: The Rise of Big Data Psychiatry

by Daniel Barron

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Overview

What is psychiatry and how can we improve it?

In the last hundred years, most of the medical sciences have progressed in immense and unforeseeable ways—except for psychiatry, which has somehow remained immune to this progress. Daniel Barron, a psychiatrist who trained at the Yale School of Medicine, asks an important question: What’s holding psychiatry back?

Reading Our Minds takes us to a psychiatric hospital, where Barron evaluates a young woman with psychosis, and shows how his exam is limited by his own ability to ask questions and observe, and by his patient’s ability to sense, interpret, and report her experience. Barron shows why psychiatry must move beyond conversation—and how sensors, measurements, and algorithms might progress psychiatric practice. At once pioneering and engaging, Reading Our Minds introduces readers to the Big Data technologies that might revolutionize the way we evaluate, diagnose, and treat mental illness and bring psychiatry firmly into the fold of 21st-century medical science.

Product Details

ISBN-13: 9781734420784
Publisher: Columbia Global Reports
Publication date: 04/27/2021
Pages: 150
Product dimensions: 5.00(w) x 7.50(h) x (d)

About the Author

Daniel Barron completed his medical training and Psychiatry residency at Yale University's Neuroscience research Training Program. He holds a PhD in Human Brain Imaging from the University of Texas and is a regular contributor at Scientific American. He hosts Science et al., a podcast produced by the Yale School of Medicine. He is currently a fellow in Pain Medicine at the University of Washington.Reading Our Minds is his first book. Follow him at @daniel__barron

Table of Contents

Introduction 10

Chapter 1 Online Behavior: Search History and Social Media 27

Chapter 2 Passive Data: Accelerometer, Geolocation, Call Logs 45

Chapter 3 Conversational Data: What We Say and How We Say It 60

Chapter 4 Stress Tests for the Brain 77

Chapter 5 Diagnosis: Turning Data into Action 94

Chapter 6 Platforms: Gathering and Making Sense of Data 109

Conclusion 131

Acknowledgments 137

Further Reading 139

Notes 141

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