Digital Suicide Prevention: Can Technology Become a Game-changer?

by Arshya Vahabzadeh, MD; Ned Sahin, PhD; and Amir Kalali, MD Dr. Vahabzadeh is Director of Digital Health, Brain Power, in Cambridge, Massachusetts; Instructor in Psychiatry, Harvard Medical School in Cambridge, Massachusetts; and Innovation Officer at Massachusetts General Hospital Psychiatry Academy in Boston, Massachusetts. Dr. Sahin is Chief Science Officer at Brain Power and Associate in Psychology at Harvard University in Cambridge, Massachusetts; and Dr. Kalali is Global Head of the Neuroscience Center of Excellence at Quintiles and Professor of Psychiatry at the University of California, San Diego, California. Innov Clin Neurosci. 2016;13(5–6):16–20 Funding: No funding was provided for the preparation of this article. Financial disclosures: Dr. Vahabzadeh is Director of Digital Health and Dr. Sahin is Chief Science Officer at Brain Power, which is a digital mental health company in Cambridge, Mass. Dr. Kalali has no conflicts of interest relevant to the content of this article. Abstract: Suicide continues to be a leading cause of death and has been recognized as a significant public health issue. Rapid advances in data science can provide us with useful tools for suicide prevention, and help to dynamically assess suicide risk in quantitative data-driven ways. In this article, the authors highlight the most current international research in digital suicide prevention, including the use of machine learning, smartphone applications, and wearable sensor-driven syste...
Source: Innovations in Clinical Neuroscience - Category: Neuroscience Authors: Tags: Current Issue Depression Digital Medicine Drug Development Mental Disorders Mood Disorders Psychiatry Suicidality Technology Trial Methodology big data data sharing machine learning medical devices medical technology suicidal Source Type: research