healthOS
Contact us

Solutions

Aged Care Home Care Disability Acute & Hospital Wellness & Monitoring

Modules

Intake & CRM Services Care Admin Care Delivery Data & Insights Research

Features

Government Services AI Handover Voice Dictation Pathways Deterioration Engine Notifications Telephony Bulk Integration Forms & Documents Security

More

How it works

Between-visit early detection. No smartphone required.

When care moves into the home, the monitoring has to follow. Problems get noticed between visits, before they become emergencies. 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.

Contact us

See it in motion.

A short, narrated explainer. Captions included.

Continuous monitoring that works without patient effort.

Cellular devices
Withings BPM Connect, ScanWatch Light and Body Smart auto-sync over cellular. No smartphone, no Wi-Fi pairing, no app installation required.
Continuous glucose
Abbott FreeStyle Libre 3 readings mapped to FHIR R4 Observation resources via LibreView API. Glucose trends visible in the clinical record.
Clinical thresholds
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.
FHIR Observation mapping
Every reading written as a FHIR R4 / AU Core Observation resource with LOINC codes and UCUM units. Device provenance tracked.
BYOD aggregation
Consumer-owned devices connect through a health-data aggregator, Apple Health, Google Health Connect 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 triggers
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.

Vital signs from cellular devices, mapped to FHIR, alerting on deterioration.

Readings sync automatically. Thresholds flag adverse trends. Clinicians act before the next visit.

HealthOS Wellness Dashboard showing remote monitoring vital signs, device connectivity status and threshold-based alerts

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 bypass this entirely.

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

Early detection of deterioration

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.

  • Condition-specific monitoring cadences: BP daily, glucose daily (CGM-preferred), eGFR 3-monthly, SpO2 daily, weight daily/weekly
  • Window-based trend analysis over 7-day and 30-day sliding windows
  • Nine detection rules: bp_uncontrolled, spo2_critical, glucose_hyper_burst, weight_gain, multi_at_risk_cluster, missed_readings and more
  • Role-based notification routing: watch → NUM, concern → RN + NUM, urgent → RN + NUM + allied health
  • Threshold bands sourced from RACGP Red Book, KDIGO 2024, GOLD 2024 and ADS guidelines
  • Patient and family portal shows today's measurements, due, completed, overdue per pathway widget

Research-ready from collection

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.

  • LOINC-coded observations with UCUM units (mmHg, mmol/L, kg, %)
  • Observation.device references trace to the source device
  • Companion Provenance resources for full audit chain
  • Same FHIR endpoint serves both clinical care and research evaluation
  • No retrospective extraction or format conversion required
{R4}

Related platform capabilities

Deterioration Engine

Nine detection rules. Window-based analysis. Role-based alerting.

Care Pathways

Chronic condition pathways with prevention screening and escalation triggers.

Data & Insights

Every event captured. Every insight available.

See monitoring and alerting in action.

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

Contact us Back to home