Impact Assessment of Remote Monitoring Devices in Early Risk Detection

This assessment analyzes how real-time IoT health devices enhance early detection of clinical and environmental risks. It evaluates device accuracy, data reliability, interoperability, and caregiver actionability.

  • Device Categories: wearables, motion sensors, environmental sensors, vitals-capture devices
  • Alert Reliability: 92% accuracy rate across fall detection; 83% for inactivity alerts
  • Device-to-Platform Architecture: event streaming, FHIR Observation mappings, alert pipeline resiliency
  • Clinical Impact: 28% reduction in avoidable ER visits in pilot groups
  • Operational Impact: faster caregiver triage, better care-plan personalization

Cases Studied:

  • Single-household device kit deployment
  • Multi-resident assisted-living facility deployment
  • Cross-integration with third-party EHRs