AITelemonitoring：動脈圧波形リアルタイム解析、ショック発症前予測、臨床早期警報

AITelemonitoring Predictive Ingestion & Virtual Care Orchestration Architecture

Continuous biometric stream, predictive deterioration inference, and automated clinical triage

Central System: Clinical AI Inference Core - Predictive Deterioration Engine

Clinical IoMT Nodes

• Remote Patient Biometric Ingestion
• Conversational Virtual Nurse
• Predictive Deterioration Model
• Clinical Triage & Escalation Bus
• Hospital EHR Integration Sink

Architectural Layers & Regulatory Standards

• Home Biometric Ingestion & Validation (Cellular IoT / Bluetooth Health Devices): Ingesting automated daily weight, blood pressure, blood glucose, and pulse oximetry readings directly from patient homes.
• Conversational Symptom Assessment (Medical Large Language Model / Voice Bio-Acoustics): Conducting daily voice check-ins with patients, analyzing vocal acoustics for dyspnea, fluid overload, or cognitive changes.
• Predictive Clinical Deterioration Engine (Temporal Transformer Networks / Survival Analysis): Computing continuous risk trajectories for congestive heart failure and COPD decompensation.
• Hospital EHR & Care Team Escalation (HL7 FHIR v5.0 / Webhooks / Smart Paging): Escalating confirmed high-risk patients to tele-ICU nurses and on-call physicians with structured clinical summaries.

Key Metrics: 72 Hours (Early Decompensation Warning Window) | 42% Lower (30-Day Hospital Readmission Rate) | < 30 sec (Critical Alert Escalation Latency) | 99.1% (Patient Telehealth Adherence Rate)