DeviceVigilance: Automatisierte eMDR-Pipelines, FDA 21 CFR 803 Meldungen & EU MDR Vigilanz

DeviceVigilance aggregiert Betriebs-Telemetriedaten von Tausenden installierten Beatmungsgeräten, Dialysesystemen und Vitalmonitoren, um Komponentendegradation Wochen vor dem Auftreten klinischer Ausfälle zu erkennen.

DeviceVigilance Fleet Telemetry Architecture

Fleet-Wide Sensor Telemetry and Anomaly Detection Core

Central System: Device Surveillance Engine - Fleet Health Analytics Core

Clinical IoMT Nodes

  • Telemetry Anomaly Detector
  • Field Incident Harvester
  • Firmware Drift Monitor
  • Regulatory Alert Emitter
  • Hospital IT Feed

Architectural Layers & Regulatory Standards

  • Hardware Health Telemetry Ingestion (IEEE 11073-10471 Health Device Specialization / MQTT over mTLS): Ingesting internal temperature, motor currents, battery impedance, and calibration offsets.
  • Statistical Anomaly & Drift Engine (Isolation Forests / Mahalanobis Distance Health Index): Principal component analysis and isolation forests detecting multi-parametric device degradation.
  • Regulatory Reporting Dispatch (FDA 21 CFR 803 Electronic MedWatch / EUDAMED Integration): Automated triage and compilation of MDR / MIR report drafts when safety thresholds are crossed.
  • Clinical Engineering Maintenance Link (HL7 FHIR Device / REST Webhooks for Hospital CMMS): Automated dispatch of preventative service tickets directly into hospital CMMS systems.

Key Metrics: 100k+ (Monitored Medical Fleet Scale) | 14 Days (Advance Hardware Failure Warning) | 99.8% (Anomaly Detection Accuracy) | ISO 13485 (Quality Management Conformance)

Umwandlung reaktiver Wartung in prädiktive Patientensicherheit

Waiting for a medical device to fail at a patient's bedside is unacceptable. DeviceVigilance uses advanced telemetry heuristics to identify abnormal motor current draws, sensor calibration drifts, and power rail fluctuations before clinical alarms sound.

Core Engineering Areas

Technical Articles

Related Cluster Architecture Specifications