How does it work?

• Extracts data from your existing care and medication management systems, and uses AI to clean, classify and structure it.

• Applies detection thresholds across eight clinical domains and 22 metrics, then ranks residents by severity weight, from Critical down to Low.

• Presents alerts in three dashboards: an overview by domain, a ranked resident summary for shift handover, and a resident detail view with a 7-day trend and AI summary.

Why this hasn't been possible before

Deterioration signals are rarely sitting in a tidy field waiting to be counted. They are spread across progress notes, charts and medication records, written differently by different staff across different shifts. Our AI pre-processing layer enables us to convert existing documentation into a consistent set of data for each resident. Only then can a threshold be applied reliably, across a whole service, every day.

​Research-based, and built around your service

Our detection thresholds are based on published clinical research, including Bail, K. et al. (2026), A Digital Alert Feedback System (Aged Care Electronic Dashboard Information Tool, ACED-IT) to Enhance Quality Nursing Care: Participatory Action Research, Journal of Clinical Nursing, 35(1), 397 to 423.

We've built on that foundation in practice. Thresholds, domains and severity weightings are tuned to your cohort, your documentation practices and your clinical priorities, so alerts reflect what matters in your service rather than a fixed rule set. Every alert traces back to the data that triggered it and the threshold it crossed, and the full logic is documented for your team during onboarding.

Benefits

• Earlier intervention when a resident's condition starts to change, supporting proactive care

• Faster handover using a ranked resident list and alert detail table built for shift change

• Trend visibility across domains, metrics, facilities and residents, so you can see whether risk is rising or resolving

• Signals you would otherwise miss, as AI pre-processing surfaces detail recorded in unstructured documentation that manual review and standard reporting do not capture

• No additional workload for clinical staff, as the tool uses documentation your team already completes

• Evidence for clinical governance, demonstrating an active system for identifying and escalating deterioration risk

• Configured to your service, with thresholds adjusted during onboarding and tuned further once your team is using it

• Supports Standards 2.4 and 5.1