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Everything Healthcare

📑 arXiv 2d ago

Veritas-RPM: Provenance-Guided Multi-Agent False Positive Suppression for Remote Patient Monitoring

Veritas-RPM uses a five-layer multi-agent architecture (ground-truth assembly, anomaly detection, specialist routing, domain specialists, and conflict resolution) to suppress false positives in remote patient monitoring. Evaluated on 530 synthetic patient epochs across 98 documented false-positive scenarios, it reports True Suppression Rate, False Escalation Rate, and Indeterminate Rate metrics.

📑 arXiv 3d ago

Blinded Multi-Rater Comparative Evaluation of a Large Language Model and Clinician-Authored Responses in CGM-Informed Diabetes Counseling

Blinded multi-rater study with 6 senior diabetes clinicians evaluated retrieval-grounded LLM conversational agent for CGM data interpretation and patient counseling support across 12 cases. System generated plain-language explanations while avoiding individualized therapeutic advice, addressing time-intensive nature of CGM pattern explanation. Evidence development for RAG-based clinical decision support in diabetes care.