Imagine a digital toolkit that helps teenagers manage anxiety through games and apps, similar to how fitness apps track health. It collects data from different sources to give doctors a clearer picture of what a patient needs. This helps clinicians move away from guesswork and toward personalized care plans based on real-time evidence.
Diagnosis and treatment of youth anxiety are often inconsistent and uncertain. There is a lack of scalable, evidence-based digital tools that can personalize care and provide self-care options for young people.
An Open Knowledge Platform (OKP), a SMILE API with FHIR database, and gamified apps for self-assessment and cognitive restructuring.
If you are a health-tech app developer dealing with low user engagement in therapy — this project developed gamified tools that help young people build resilience and coping skills. This increases user retention through interactive self-assessment and learning.
If you are a private clinic dealing with inconsistent diagnosis processes — this project developed 3 decision-making tools that integrate 7 different diagnostic data sources. This allows practitioners to identify risk factors and recommend personalized interventions more accurately.
If you are an EdTech provider dealing with a lack of evidence-based mental health tools for schools — this project developed an Open Knowledge Platform and immersive virtual environments. This provides schools with validated tools for cognitive restructuring and self-care.
Based on available project data, specific pricing or cost details are not provided; however, the project aims to ensure affordable services through scalable digital tools.
The project uses a systematic upscaling method and validates the platform through 8 real-life case studies across 7 European countries to ensure continuity after the project ends.
Based on available project data, specific licensing terms are not listed, but the project emphasizes an 'Open Knowledge Platform' to democratize access to information.
The project integrates SAPL and Keycloak servers to ensure robust data protection and privacy for the users.
Integration is achieved through a SMILE API and a FHIR database, which allows for seamless data exchange with existing healthcare systems.
The consortium is well-balanced for commercialization, featuring 16 partners across 9 countries. With a 25% industry ratio including 5 SMEs and 4 industrial partners, the project has a strong bridge between academic research (6 universities, 3 research centers) and market application, ensuring the tools are developed with commercial viability in mind.
Contact FTK-Forschungsinstitut für Telekommunikation und Kooperation EV in Germany
Contact us to explore licensing opportunities for the SMILE API and gamified mental health modules.
