Cellular-connected devices auto-sync vital signs to the clinical record as FHIR R4 Observations. Clinicians set thresholds. The platform alerts on deterioration — before the next scheduled visit.
Book a demoWithings BPM Connect, ScanWatch Light and Body Smart auto-sync over cellular. No smartphone, no Wi-Fi pairing, no app installation required.
Abbott FreeStyle Libre 3 readings mapped to FHIR R4 Observation resources via LibreView API. Glucose trends visible in the clinical record.
Configurable alerting per condition. Systolic BP >140 mmHg, SpO2 <92%, glucose >11.1 mmol/L, eGFR <60 — sourced from Australian clinical guidelines. Feeds the deterioration engine for window-based detection.
Every reading written as a FHIR R4 / AU Core Observation resource with LOINC codes and UCUM units. Device provenance tracked.
Consumer-owned devices via health data aggregator API. Apple Health, Google Health Connect and third-party wearables — one integration surface.
Nine detection rules in the deterioration engine evaluate every reading against window-based patterns. Alerts route by role and urgency — in-app and email — to the responsible clinician.
Readings sync automatically. Thresholds flag adverse trends. Clinicians act before the next visit.
The biggest barrier to remote monitoring in aged and home care is the smartphone. Most older Australians — especially those with cognitive impairment — do not own or operate one. Cellular-connected devices bypass this entirely.
Between-visit monitoring detects adverse trends before they become emergencies. The deterioration engine evaluates every reading against nine detection rules with window-based trend analysis — not just single-reading threshold alerts.
Every monitoring measurement is exposed as a standards-conformant FHIR R4 Observation at point of ingest — not extracted retrospectively for evaluation. The research dataset is built as care happens.
A 45-minute walkthrough with real device data from a reference deployment.