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Driving Brand Demand with AI-Driven, Predictive Messaging

Learn how the OptimizeRx Dynamic Audience Activation Platform (DAAP) increased HCP prescribing by 19%

CLIENT GOAL

A rare disease brand sought to inform and help both newly diagnosed and relapsing patients benefit from treatment advances.

  • 16% of exposed HCPs wrote a brand Rx
  • 9% of brands Rxs came from writers
  • 19% average script lift from AI-identified HCPs

THE CHALLENGE

  • Generally accepted standards of care, despite high relapse, toxicity, and side effect profile
  • Frequent patient relapses, but difficult for HCPs to pinpoint warning signs
  • Large, but imprecise, NPI target list made cost-effectively deployment difficult

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HOW WE DID IT

DAAP's AI-driven Patient Discovery module used longitudinal patient RWD to learn the characteristics of undiagnosed and relapsing patients, then predicted both future patient eligibility and the ideal time to engage their treating HCP with brand information.

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Proprietary AI Engine

Discovered brand-qualified patients earlier in the disease journey and predicted when patients were experiencing relapse symptoms.

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Dynamic NPI Targeting

Prioritized message delivery to physicians most likely to be treating brand eligible patients in specific windows of time.

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Timely, EHR-based Engagement

Delivered brand information directly into HCPs clinical workflow when HCPs were making care decisions.

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Machine Learning and Optimization

HCP engagement and behavioral data continually fed predictive model to increase accuracy.

Explore how Patient Discovery and DAAP can help your brand locate hard-to-find patients, in order to better engage and support their treating physicians.

TALK TO OUR TEAM TODAY