Online therapeutic interventions typically rely on static self-report assessments or human moderators to determine mental health care needs. A central focus of our work at Orygen Digital is exploring ways of enhancing and integrating these tools with artificial intelligence to deliver cost-effective, responsive care that evolves with the changing needs of young people and their families.
We use advanced natural language processing and machine learning techniques, which allow us to continually learn from each individual’s patterns of use and posts to the system. This information is fed back to human moderators via easily understood charts and summaries to inform their treatment planning. It is also used to provide immediate automated therapy suggestions to the individual based on their user profile and detected in-the-moment needs and interests. We believe that this merging of human support and automated tools will be integral to the wider dissemination of truly personalised mental health care that engages young people and families over time.
Key projects testing this solution: Orygen Digital, Prodigy, Momentum, Rebound