Change detection
Surface meaningful changes over time rather than forcing clinicians to manually compare disconnected records.
LONGITUDINAL CLINICAL INTELLIGENCE
Find what matters across the patient journey.
NEYQOR is designed to help clinicians identify relevant changes, trends and unresolved signals across longitudinal data without replacing clinical judgement.
PATIENT
CONTEXT
EvidenceTimelineAICare teamSignalsSourceCONTEXT
PATIENT INTELLIGENCE
Trend · Evidence · Temporal context · Human review
NEYQOR WORKFLOW VIEW
Evidence linked · Source visible · Review required
HOW IT WORKS
Purpose-built for clinical work.
Each capability sits inside the same patient context, evidence chain and safety architecture.
Contextual prioritisation
Present signals in relation to the patient, encounter, source and timeline.
Evidence-aware AI
Clinical suggestions remain grounded in available evidence and can be traced back for review.
No silent truth claims
A signal is not automatically a diagnosis, severity label or causal conclusion.
Built around clinical work.
Trend detectionLongitudinal contextEvidence-linked signalsExplainable assistance
NEYQOR
One patient. One clinical context.
Connected clinical workspace.
Safe by design — fast by architecture.