Longitudinal monitoring
View patient-reported and connected measurements as a continuous clinical timeline.
CONTINUITY BEYOND THE VISIT
Continuous context without continuous noise.
NEYQOR is designed to bring longitudinal patient signals into one clinical monitoring workspace, with change over time, review needs and source-linked context kept visible.
PATIENT
CONTEXT
EvidenceTimelineAICare teamSignalsSourceCONTEXT
CONTINUITY OVER TIME
Signal → Change detection → Evidence → Clinician 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.
Signal quality first
Separate missing, malformed or insufficient evidence from trusted clinical signals.
Escalation with context
Relevant changes can be reviewed alongside medications, encounters and prior measurements.
Care remains accountable
Monitoring supports clinicians and care pathways; it does not autonomously diagnose or treat.
Built around clinical work.
Continuity of careEarlier signal visibilitySource-aware monitoringClinical review paths
NEYQOR
One patient. One clinical context.
Connected clinical workspace.
Safe by design — fast by architecture.