Spot deterioration before it becomes an incident
AI-powered early warning signals, built on the clinical data your team already records. Rule-based, explainable, and always under human control. Enterprise tier.
Early Warning Signals — Margaret T.
Room 12 · Last 7 days
Weight
↓ 3.2kg in 14d
Mobility score
4 → 2
PRN analgesia
5 doses (baseline: 1/wk)
Hydration
<800ml/day × 2 days
Sleep quality
2/5 avg this week
Early Warning Signals
Vitals, weight, mobility, sleep
Medication Risk Screening
Polypharmacy & sedation burden
Trend Monitoring
7/14/30/90-day rolling trends
Explainable Rules
No black box decisions
Early warnings from data you already collect
Every observation, daily log, medication round, and incident your team records feeds into a unified signals timeline. Weight trends, mobility changes, PRN patterns, hydration levels — surfaced per resident with severity thresholds. When a risk is flagged, the system suggests evidence-based interventions. Staff approve before any task is created — then completion feeds back as CQC evidence. No extra data entry. No spreadsheets.
Built on: observations, daily logs, eMAR, incidents, risk assessments
Margaret T. · 7-Day Signal Summary
>5% loss in 14 days
Declining over 7 days
Baseline: 1 dose/wk
Below threshold
Falls Risk Elevated
Margaret T. · Room 12 · Triggered today 08:15
Why this alert fired
Weight loss: 3.2kg in 14 days (>5% threshold)
Mobility score: declined from 4 to 2
PRN analgesia: 5 doses in 7 days (baseline 1/wk)
Rule-based · No black box · Every action logged
Transparent alerts. Human approval. Full audit trail.
Alerts are rule-based with clear trigger facts — not a black box. Staff see exactly why an alert fired. Every alert includes a data completeness badge — if there isn't enough data to be confident, the system says so rather than guessing. Every action requires human approval. No automated care decisions. Every acknowledgement, escalation, and false positive is audit-logged.
Enterprise tier. Every alert versioned and auditable. Algorithmic Impact Assessment required before any model goes live.
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