Our team is developing a scalable AI/ML triage framework to support measurement-based mental health care, in collaboration with our research partners, and support by Mitacs. Our work focuses on building interoperable FHIR-aligned data pipelines and advanced ML/NLP models that analyze patient intake information to recommend appropriate care pathways. Emphasis is placed on fairness, robustness, and clinical interpretability, with deployment through a digital health platform provided by the research partner. This project aims to improve access to timely mental-health services in Canada while advancing AI-enabled clinical decision support. (Guan)SustainAI Group
AI-Enabled Measurement-Based Mental Health Triage
Our team is developing a scalable AI/ML triage framework to support measurement-based mental health care, in collaboration with our research partners, and support by Mitacs. Our work focuses on building interoperable FHIR-aligned data pipelines and advanced ML/NLP models that analyze patient intake information to recommend appropriate care pathways. Emphasis is placed on fairness, robustness, and clinical interpretability, with deployment through a digital health platform provided by the research partner. This project aims to improve access to timely mental-health services in Canada while advancing AI-enabled clinical decision support. (Guan)