Patient, SP, Claims & Payer Analytics
Claims-Based Persistency & Patient Behavior Analytics
Challenge: The client needed to understand how long patients stayed on therapy, where discontinuation patterns emerged, and how treatment behavior differed across patient segments.
Analytics Approach: Analyzed claims data to measure persistency, therapy duration, continuation, restart, and drop-off patterns, then translated the findings into leadership-ready dashboards.
Commercial Impact: Improved visibility into patient behavior, helped leaders identify retention risks, and supported more informed planning across brand and patient support teams.
Patient Journey & Funnel Analytics
Challenge: Leadership lacked end-to-end visibility from referral intake through treatment initiation, shipment readiness, cancellation, and discontinuation.
Analytics Approach: Built a journey analytics framework covering eligibility, benefits investigation, prior authorization, shipment readiness, pending cases, cancellations, and initiation outcomes.
Commercial Impact: Improved funnel visibility, exposed operational bottlenecks, and enabled faster adjustments to patient support processes and partner accountability.
New Start, Adherence & Discontinuation Reporting
Challenge: The client needed to understand whether new and returning patients were sustaining growth, where adherence was weakening, and when discontinuations were creating risk.
Analytics Approach: Built a reporting cadence tracking new starts, restarts, adherence, continuation, and discontinuation metrics across time periods, patient cohorts, and business review cycles.
Commercial Impact: Created a balanced view of growth and retention, surfaced early warning signals, and supported proactive planning before drop-off patterns became larger performance issues.
Specialty Pharmacy & HUB Performance Analytics
Challenge: SP and HUB data were fragmented across partners, making it difficult to monitor conversion, case stalls, payer friction, and time-to-therapy with consistency.
Analytics Approach: Built analytics frameworks for shipment trends, initiation rates, SP conversion, HUB intake, prior authorization timelines, resolution rates, payer mix, and access barriers.
Commercial Impact: Improved operational clarity across SP and HUB performance, accelerated case-stall identification, and gave field, patient services, and leadership teams a shared view of access friction.