Proactive Mental Health

Intelligence Data Collection for Good

Why It Matters

Platforms monitoring data streams and providing digital resources are trying to address the early warning signs of mental health disorders. Models like these may be the key to staying one step ahead, and addressing problems proactively before they turn into more serious crises.

var TRINITY_TTS_WP_CONFIG = {"cleanText":"Proactive Mental Health. Mental illness is insidious. A broken bone or a runny nose are visible signs you need to make a trip to the doctor and physical illness an accepted excuse to take time off work and invest in taking care of yourself. Symptoms of mental illness, on the other hand, often go unnoticed and unchecked. It can sometimes be difficult to admit to yourself that there\u2019s even a problem at all. Data collection combined with the learning capabilities of artificial intelligence are emerging as tools to proactively address mental health problems as symptoms first emerge. If successful, a data-driven prevention model could be applied to many different types of social impact initiatives, in the health care sector and beyond. Dis-Moi\u2014firs

Future of Good journalism and events produce insightful analysis and knowledge you need to work and grow.

Read this article with a free account or explore membership options for unlimited access.