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Viewpoint |

Why Psychiatry Needs Data Science and Data Science Needs Psychiatry Connecting With Technology

John Torous, MD1,2; Justin T. Baker, MD, PhD2,3
[+] Author Affiliations
1Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
2Harvard Medical School, Boston, Massachusetts
3Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts
JAMA Psychiatry. 2016;73(1):3-4. doi:10.1001/jamapsychiatry.2015.2622.
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This Viewpoint discusses the potential of using data captured by smartphones and wearable technologies to develop new strategies for mental health care.

No one would dispute the tremendous advances in basic neuroscience, genetics, and technology that continue to provide a powerful beacon of hope for our future understanding of mental health. And yet, for millions of individuals who experience significant psychiatric distress on a daily basis, Engel’s powerful and humbling observation remains as true today in many respects as in 1977.1 A New York Times article suggested that perhaps a return to the era of institutionalization is warranted2; comments on that piece rightly pointed out the many flaws with an institutional model, while others made ethical arguments that the wraparound services these institutions provided are desperately needed. While there is truth to both arguments, here we suggest that technology and data science, leveraged in a variety of ways and settings across both clinical and research domains, present the field with a middle way whose time has come.

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