by Arshya Vahabzadeh | Jul 29, 2015 | Uncategorized
A digital revolution is coming to mental health, having already established a foothold in business, education, and healthcare. This revolution is, however, not led by angry citizens, but is fueled by the rapid emergence of Exponential technologies. Exponential technologies are those that are growing swiftly in power and availability, and they are opening up entirely novel fields, such as 3-D printing of body organs. These technologies have immense potential to disruptively change how we live our lives, and how we manage our health. Exponential technologies include “wearable” sensors, artificial intelligence (AI), robotics (including drones), synthetic biology, 3-D printing (including the printing of body parts), and human-computer interfaces. We may already have “exponential” technology in our pockets, as even basic smartphones contain considerable computing power, and integrate the functionality of many other historically separate devices. We are on the cusp of an explosion in the number of people using “wearables”, interactive digital devices that can monitor our behavior and/or physiology. There are many examples of wearables, including smartwatches (e.g Apple watch), smartglasses (e.g Google Glass), and activity trackers (e.g Fitbit). When we assess a child’s mental health, we often consider their sleep, appetite, activity levels, and relationship with others. These are all areas where wearable sensor-rich devices can collect data, and in some cases potentially offer some type of intervention. In order for the data to be useful, it must lead to actionable change. The data must give us insights into a child’s functioning, and must therefore undergo an analytic process. Historically, data analysis was largely a human process, but the development of predictive algorithms in many industries has...
by John Torous | Jul 28, 2015 | Uncategorized
Mobile technologies like smartphones offer novel tools to track mood and signs of depression. There are hundreds of mood trackers commercially available – yet what do we really know about the mobile mental health data they produce? Are self reported mood symptoms collected in real time equivalent to a standard in person screening exam for depression? Understanding the basics about mobile mental health data, such as how it correlates to more traditional clinical data is the important first step in creating a scientific, evidence based, and clinical approach to mobile mental health tools. Read the full research study at http://mental.jmir.org/2015/1/e8/ … Photo on Flickr by darcyadelaide, used under Creative Commons...
by John Torous | May 22, 2015 | Uncategorized
While it can take nearly a decade for a new drug to go from the lab to marketplace, smartphones apps can be created and placed on app marketplaces in only a matter of weeks or months. Many of these apps are targeted towards psychiatric conditions like major depressive disorder or bipolar disorder, and offer novel tools and potential treatments for the mental health field. But unlike a medication that comes to the marketplace with a wealth of data on safety, side effects, efficacy, contraindications etc., apps that come onto the marketplace are often scare on clinical or scientific data. Universities, researchers, and industry are beginning to fill in those gaps and gather clinical data on how patients use and respond to smartphone apps for a variety of mental illnesses. However, because apps are changing so quickly, it can be hard for researchers to keep up and an app studied today but not even be available tomorrow! Reviewing the literature on smartphone apps for psychiatric conditions provides patients, clinicians, and policymakers a glimpse of the current clinical and scientific data supporting app use in mental health. It is certain that industry has already created newer and more advanced apps than those studied by researchers and published in scientific papers, but it is important for the mental health community to judge apps based on evidence – just as any other diagnostic or treatment modality currently is judged. In our paper, we review the current literature on smartphone apps applied towards major depressive disorder and bipolar disorder. We propose a novel framework to help categorize and better understand app research and use that as a...
Recent Comments