The rapid development and integration of technology in healthcare has created opportunities and accessibility of new services and the realm of mental health is no exception.
Telehealth gives patients remote access to behavioral health services. This allows users to have therapy sessions, message their provider, and request prescription refills from any private space without having to meet in person. Online therapy sessions improve accessibility by addressing geographical barriers.
Betterhelp is a 100% online mental health service that offers access to over 35,000 licensed therapists. This telehealth service matches users to a therapist that fits their needs and allows them to send messages at any time and can be accessed from anywhere around the world. Sessions can be through video, phone, messaging, even group sessions.
There are many mobile apps designed to help those looking to improve their mental health. These apps are not intended to replace professional help, but provide tools, exercises, and techniques to support your mental health journey. There are an impressive array of apps to be chosen from based on the users’ needs; some offer mood tracking services, others are intended to offer anxiety or stress relief through meditation or other activities.
There are many advantages that wearable devices have and they can be used for mental health assessments by capturing data. They can monitor and track physiological and behavioral parameters potentially associated with mental health such as heart rate, breathing patterns, sleep quality, and physical activity. Wearable device monitors are not currently widely used for mental health services, they are expected to become increasingly popular.
The use of AI in healthcare is on a rise and there are opportunities for addressing mental health issues with these technologies as well. We may see AI therapists as there are already chatbots that communicate with patients by adapting to their personalities and walking them through coping exercises. There have also been a few studies that have found that machine learning can be used to predict and identify mental health problems earlier to be addressed before they escalate.