Home / Care settings / Wellness & monitoring
Home care, aged care and chronic condition care teams

Between-visit early detection, no smartphone required

When care moves into the home, the monitoring has to follow. Cellular-connected devices sync vital signs to the clinical record, clinicians set thresholds, and the platform alerts on deterioration before the next scheduled visit.

HealthOS Wellness Dashboard showing remote monitoring vital signs, device connectivity status and threshold-based alerts
Where it helps
Home care

Clients living alone are watched over between visits.

Aged care

Staff fit the device during routine care; readings flow by themselves.

Research

Every reading is research-ready at the point of collection.

What it does

Continuous monitoring that works without patient effort

Devices and data

CapabilityWhat it does
Cellular devicesBlood pressure monitors, watches and smart scales that auto-sync over cellular. No smartphone, no Wi-Fi pairing and no app installation.
Continuous glucoseContinuous glucose monitor readings come in through the manufacturer's cloud API and map to FHIR R4 Observation resources. Glucose trends are visible in the clinical record.
Clinical thresholdsConfigurable alerting per condition, for example systolic BP >140 mmHg, SpO2 <92%, glucose >11.1 mmol/L and eGFR <60, sourced from Australian clinical guidelines. Feeds the deterioration engine for window-based detection.
FHIR Observation mappingEvery reading is written as a FHIR R4 / AU Core Observation resource with LOINC codes and UCUM units. Device provenance is tracked.
BYOD aggregationConsumer-owned devices connect through a health data aggregator, including phone health platforms and popular wearables, so a client's own smartwatch or scale can feed the record. Aggregated readings land as the same FHIR Observations as clinical devices, tagged by source so clinicians can weigh them accordingly.
Escalation triggersNine detection rules in the deterioration engine evaluate every reading against window-based patterns. Alerts route by role and urgency, in-app and by email, to the responsible clinician.

No smartphone required

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 get around this entirely.

  • Cellular models sync directly to the cloud via an embedded SIM
  • No app installation, no Bluetooth pairing and no Wi-Fi password
  • Nursing staff fit the device during routine care, then readings flow automatically
  • Equally important for home care clients living alone between visits

Early detection of deterioration

Between-visit monitoring picks up adverse trends before they become emergencies. The deterioration engine evaluates every reading against nine detection rules with window-based trend analysis, going beyond single-reading threshold alerts.

  • Condition-specific monitoring cadences: BP daily, glucose daily (CGM preferred), eGFR 3-monthly, SpO2 daily, weight daily or weekly
  • Window-based trend analysis over 7-day and 30-day sliding windows
  • Nine detection rules, including bp_uncontrolled, spo2_critical, glucose_hyper_burst, weight_gain, multi_at_risk_cluster and missed_readings
  • Role-based notification routing: watch to the NUM, concern to the RN and NUM, urgent to the RN, NUM and allied health
  • Threshold bands sourced from the RACGP Red Book, KDIGO 2024, GOLD 2024 and ADS guidelines
  • The patient and family portal shows today's measurements as due, completed or overdue in each pathway widget
HealthOS deterioration rules screen with a new critical SpO2 drop rule being configured with an urgent alert level and a threshold

Research-ready from collection

Every monitoring measurement is exposed as a standards-conformant FHIR R4 Observation at the point of ingest, so nothing has to be extracted later for evaluation. The research dataset builds as care happens. See research.

  • LOINC-coded observations with UCUM units (mmHg, mmol/L, kg, %)
  • Observation.device references trace to the source device
  • Companion Provenance resources for a full audit chain
  • The same FHIR endpoint serves both clinical care and research evaluation
  • No retrospective extraction or format conversion required
HealthOS research cohort builder defining criteria such as age, care setting and residential state
On YouTube

See it in action

All videos
1:56
Research: de-identified cohort analysis

See monitoring and alerting in action

A 45-minute walkthrough with real device data from a reference deployment.