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

Fuente: arXiv
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Autori principali: Misro, Aswini, Sharma, Vikash, Gowda, Shreyank N
Natura: Preprint
Pubblicazione: 2026
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author Misro, Aswini
Sharma, Vikash
Gowda, Shreyank N
author_facet Misro, Aswini
Sharma, Vikash
Gowda, Shreyank N
contents We present Veritas-RPM, a provenance-guided multi-agent architecture comprising five processing layers: VeritasAgent (ground-truth assembly), SentinelLayer (anomaly detection), DirectorAgent (specialist routing), six domain Specialist Agents, and MetaSentinelAgent (conflict resolution and final decision). We construct a 98-case synthetic taxonomy of false-positive scenarios derived from documented RPM patterns. Synthetic patient epochs (n = 530) were generated directly from taxonomy parameters and processed through the pipeline. Ground-truth labels are known for all cases. Performance is reported as True Suppression Rate (TSR), False Escalation Rate (FER), and Indeterminate Rate (INDR).
format Preprint
id arxiv_https___arxiv_org_abs_2604_16081
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Veritas-RPM: Provenance-Guided Multi-Agent False Positive Suppression for Remote Patient Monitoring
Misro, Aswini
Sharma, Vikash
Gowda, Shreyank N
Multiagent Systems
We present Veritas-RPM, a provenance-guided multi-agent architecture comprising five processing layers: VeritasAgent (ground-truth assembly), SentinelLayer (anomaly detection), DirectorAgent (specialist routing), six domain Specialist Agents, and MetaSentinelAgent (conflict resolution and final decision). We construct a 98-case synthetic taxonomy of false-positive scenarios derived from documented RPM patterns. Synthetic patient epochs (n = 530) were generated directly from taxonomy parameters and processed through the pipeline. Ground-truth labels are known for all cases. Performance is reported as True Suppression Rate (TSR), False Escalation Rate (FER), and Indeterminate Rate (INDR).
title Veritas-RPM: Provenance-Guided Multi-Agent False Positive Suppression for Remote Patient Monitoring
topic Multiagent Systems
url https://arxiv.org/abs/2604.16081