Researchers have developed BEACON-SP, a novel framework utilizing an ontology-grounded Graph Retrieval-Augmented Generation (GraphRAG) approach for clinical suicide risk assessment. This system integrates patient knowledge graphs with ontology-guided retrieval to facilitate multi-hop reasoning across various patient data points, including diagnoses, medications, and life events. Evaluations show that BEACON-SP significantly improves completeness, clinical relevance, and evidence grounding compared to a standard vector-based RAG baseline, with clinicians preferring the GraphRAG approach in most cases. AI
IMPACT This ontology-guided GraphRAG framework could improve clinical decision support by providing structured, contextualized patient evidence for behavioral health settings.
RANK_REASON The cluster describes a new research paper detailing a novel framework for clinical suicide risk assessment. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.IR (Information Retrieval) →
- arXiv
- BEACON-SP
- GraphRAG
- Hugging Face
- Integrated Motivational-Volitional Model
- Suicide Social Determinants of Health Ontology
- Three-Step Theory
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