Will you redefine what's possible in health monitoring?

Looking beyond traditional remote monitoring? So are we.

Where AI Precision Supports Clinical Judgment

Sensacare pairs advanced AI analytics with the expertise of nursing and clinical teams. The result is intelligent monitoring that filters noise, reduces alert fatigue, enabling timely, informed, and proactive care.

Predictive AI Alerts and Risk Scoring

Sensacare doesn't wait for a crisis. Its AI models analyse real-time and historical vital data to predict deterioration before it happens. It gives clinicians hours or days of lead time to intervene, preventing avoidable hospitalisations.

Continuous Multi-Parameter Monitoring

Instead of tracking one vital at a time, Sensacare correlates heart rate, SpO₂, temperature, blood pressure, and sleep trends together. Subtle physiological shifts that might be dismissed in isolation become visible as part of a pattern helping identify when a client's stability is starting to drift.

Personalised Thresholds and Adaptive Learning

Each client's normal range is different. Sensacare learns these baselines over time, adjusting thresholds dynamically and reducing false alarms. Clinicians can focus attention where it's needed, with alerts that reflect meaningful change rather than raw numbers.

Integrated Care Plans with AI Optimisation

The platform links monitoring data to care plans, automatically suggesting interventions and flagging when goals are off track. It connects data to action translating continuous insight into proactive clinical decisions and measurable outcomes.

Population Health and Benchmarking

Using aggregated, anonymised data, Sensacare surfaces trends across populations and compares results to national benchmarks. Care teams can identify at-risk cohorts early, tailor preventive programs, and measure the impact of interventions at scale.

Escalation and Team Coordination

Built-in workflows ensure critical events or predicted risks reach the right clinician in real time, with complete response tracking. It shortens the gap between data insight and clinical response, strengthening accountability and continuity of care.

Comprehensive Healthcare Solutions

Everything you need to deliver exceptional care

Empower Healthcare Providers

  • Deliver proactive, client-centered care
  • Turn traditional monitoring into intelligent oversight
  • Seamlessly integrate with existing workflows

Real-Time Monitoring + Nurse Expertise

  • Continuous health data tracking
  • Registered nurse verification
  • Timely clinical interventions

Compliance Built-In

  • Medicare-aligned monitoring
  • NDIS standards integration
  • Automated documentation

Enhanced Client Outcomes

  • Early risk detection
  • Personalised care delivery
  • Enhanced health monitoring data

Scalable Clinical Services

Integrate remote monitoring into your practice with our comprehensive solutions

Nurse Led Monitoring Packages

Our nurse-led monitoring services offer a scalable solution for healthcare providers. These services can be billed as part of the Remote Patient Monitoring (RPM) program, with potential for reimbursement under Medicare Benefits Schedule (MBS) items. The integration of registered nurses ensures timely triage and intervention, enhancing client outcomes and satisfaction.

Medicare Backed Billing

Under the Australian Medicare Benefits Schedule (MBS), healthcare providers can claim for Chronic Disease Management Plans (CDMPs) and Team Care Arrangements (TCAs) for clients with chronic or terminal conditions. These services are eligible for reimbursement, supporting the integration of Remote Patient Monitoring (RPM) into care plans. As of July 2025, a unified GP Chronic Condition Management Plan will streamline these services, enhancing continuity of care.

Subscription + Device Bundles

A subscription-based model for health monitoring services provides a steady revenue stream. Providers can offer clients access to Sensacare's platform and devices through bundled packages. This model ensures consistent monitoring and engagement, with potential for scalability across various care settings.