Layers longitudinal claims and support signals onto the mastered relationship graph to detect affordability and access frictions (accumulator/maximizer, PA blockers, NMS). Signals inherit payer/sponsor/PBM/plan context so triage and analytics can roll up or drill down consistently.
AxsPatient transforms raw claims data into actionable patient-level insights by detecting access barriers and affordability issues in real-time, all within the context of the master relationship graph.
Advanced signal detection and patient insights
Identify access and affordability barriers from claims patterns
Every signal inherits full payer/plan context from AxsID
Tokenized patient identifiers with least-privilege access
How organizations use AxsPatient to improve patient access
Identify patients facing access barriers in real-time and trigger appropriate support interventions.
Understand access friction patterns by payer and plan to inform contracting and access strategies.
Equip field teams with patient-level insights to have more informed conversations with providers.
Analyze the impact of access barriers on treatment outcomes and patient adherence.