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Predictive AnalyticsIn Development

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 for Margaret showing high and amber alerts

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

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.

The smartest care home software in the UK.

Join the pilot to be first in line when Predictive Analytics launches.