Case Study

Optimize Rx Drives 28% More Patient Starts for an Oncology Brand
with AI-Powered HCP Targeting 

Challenge

A top 20 biopharmaceutical company faced a challenge with an oncology brand that offered strong clinical benefits but had a narrow treatment initiation window due to step therapy requirements. Many healthcare providers (HCPs) became aware of the therapy too late—after patients were no longer eligible. With no clear test or trigger to signal patient qualification, the brand struggled to drive timely patient starts.

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OptimizeRx AI-powered solution accelerated the brand's oncology therapy initiation.

Solution

To ensure timely therapy initiation, the brand implemented an AI-powered solution that proactively identified treatment-eligible patients and engaged oncologists directly at the point of care:

 

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Predictive AI Model Development

  • Built a proprietary AI algorithm using multiple longitudinal  real-world datasets.

  • Designed to detect when patients were likely to change  lines of therapy—indicating they were nearing eligibility for  the oncology brand.

  • Enabled identification of brand-qualified patients even in the absence of a clear diagnostic trigger.

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Timely HCP Engagement

  • Delivered AI-driven alerts within the EHR workflow, prompting oncologists just before patients became eligible.

  • Ensured brand consideration during critical treatment decision points, improving timing and relevance of communication
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Efficient Targeting and Deployment

  • Focused communications only on oncologists treating potentially eligible patients.
  • Allowed for smarter deployment of brand messaging  and more effective use of field team resources.
  • Helped prioritize HCP outreach, increasing the impact  of both digital and in-person engagement efforts.
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EHR Integration

  • Embedded the program within providers’ existing  clinical workflows.
  • Raised awareness of patient eligibility in real time—where  and when treatment decisions were made.
 

Results

OptimizeRx’s AI-Powered Solution Accelerates Oncology  Therapy Initiation Program Duration: 12 months.

Impact: The AI-driven, EHR-integrated strategy ensured timely brand consideration, optimized HCP outreach, and significantly boosted patient access to the oncology therapy.

 

 

Key Outcomes

28% Increase in Patient Starts: Accelerated therapy initiation through proactive patient identification.
33% of New Patients from Targeted HCPs: Enhanced engagement with oncologists at critical decision points.
3:8:1 ROI: Demonstrated efficient use of resources and high campaign impact.