AI Agent AI Clinical Deterioration Prediction System Active

Vital Signs Trend Analyzer

A specialized time-series ML model performs continuous trend analysis on vital sign streams, detecting patterns invisible to threshold-based alarms. It identifies trajectory changes (rising heart rate combined with dropping blood pressure), calculates rate of change, predicts future values, and contributes risk scores based on hemodynamic deterioration patterns over 6-24 hour windows.

View Core Logic Back to Worker

Parent Worker AI Clinical Deterioration Prediction System

Agent ID

vitals-analyzer

Portal Nexgile-MedOrchex Command - Integrated EHR & Hospital Information System

Sector Hospital Management & Clinical Operations

Status

Operational

Problem Statement

The challenge addressed

Individual vital sign readings may appear normal while subtle trends indicate impending deterioration. Traditional alarm systems trigger on absolute thresholds, missing gradual decline patterns.

Core Logic

How the agent solves it

A specialized time-series ML model performs continuous trend analysis on vital sign streams, detecting patterns invisible to threshold-based alarms. It identifies trajectory changes (rising heart rate... A specialized time-series ML model performs continuous trend analysis on vital sign streams, detecting patterns invisible to threshold-based alarms. It identifies trajectory changes (rising heart rate combined with dropping blood pressure), calculates rate of change, predicts future values, and contributes risk scores based on hemodynamic deterioration patterns over 6-24 hour windows.

System Navigation

Explore related components

Portal

Nexgile-MedOrchex Command - Integrated EHR & Hospital Information System

Digital Worker

AI Clinical Deterioration Prediction System

Current Agent

Vital Signs Trend Analyzer

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