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Converting 40% of Predicted Alerts Into Frontline Hodgkin's Lymphoma Treatments

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Converting 40% of Predicted Alerts Into Frontline Hodgkin's Lymphoma Treatments

The Challenge

Physicians who treated frontline Hodgkin's Lymphoma patients rarely saw more than a few cases each year, so predicting which promotional message would land, and when, was largely guesswork for the commercial team. A representative might visit a doctor's office weeks before or after that doctor's next patient needed a treatment decision, missing the window entirely. Physician access restrictions had narrowed the field's opportunities even further, leaving representatives with fewer chances to reach the right doctor at the right moment. Until then, the team had no reliable way to know which visits mattered most before the treatment decision had already been made, so timing decisions relied on general call cadence rather than any patient-specific signal.

ProcDNA's Solution

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Weekly Patient Signal Capture

Diagnosis, procedure, and prescription patterns in claims data revealed which patients were newly entering the frontline Hodgkin's Lymphoma treatment pathway, refreshed every week. This gave the team a live view of pathway activity instead of a static, backward-looking report

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Treatment-Window Prediction

A predictive model scored those patterns to flag which patients were nearing a treatment decision, and roughly when that decision would happen. Rather than treating every diagnosed patient the same way, the ML model ranked patients by how close they stood to starting therapy.

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Field-Ready Alerting

Each prediction reached representatives as a ready-to-act suggestion inside the team's existing field engagement platform, with no new system for reps to learn. Marketing teams received the same signal, so personal and non-personal promotion could point toward the same window at the same time.

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Cross-Functional Validation

Commercial and medical affairs teams confirmed which comorbidities and diagnostic tests reliably signaled a genuine frontline case, keeping every alert clinically grounded. This step kept the model anchored to how physicians actually diagnose Hodgkin's Lymphoma, rather than to claims patterns alone.

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Impact

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Predictions That Turned Into Treatment

Converted 40% of predicted alerts into an actual therapy starts, turning a previously untimed outreach effort into one grounded in patient-level signals.

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More Meaningful HCP Conversations

Gave sales representatives the context to have meaningful conversations with HCPs, instead of general check-ins disconnected from where a patient stood in the treatment pathway.

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Better-Coordinated Field and Marketing Outreach

Increased coordination between marketing and field teams, improving the success of non-personal promotion delivered during the treatment-decision window.

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