Case Study
Client Case Study: Improving Predictive Precision of Oncology Patient Modeling with Enriched Data
See how an IQVIA client boosted predictive precision of patients by 8% with enriched data
Sep 12, 2024

Improving Predictive Precision in Oncology with Integrated Field Alerts

In the rapidly evolving field of oncology, identifying the right patients and healthcare providers (HCPs) is crucial for effective treatment and improved outcomes. Our latest case study showcases how IQVIA’s Integrated Field Alerts can significantly enhance predictive precision in oncology patient modeling.

The Challenge

CAR T-cell therapy, a groundbreaking immunotherapy, presents unique challenges due to limited data availability and niche patient populations. Predicting potentially eligible patients and identifying treating HCPs requires innovative solutions.

The Solution

By integrating healthcare practitioner digital behavior data with clinical claims data, IQVIA’s research team achieved significant improvements in predictive precision.

Initially, using claims data alone, the model precision was 60%. However, by enriching this data with IQVIA’s Audience Identity Manager® XR (AIM XR) data, which provides behavioral insights for HCPs, the team developed advanced AI and machine-learning models to boost precision.

Results

The enriched data led to an 8% improvement in predictive precision, resulting in a stronger return on investment.

Key Benefits:

Enhanced Predictive Precision: Achieve higher accuracy in identifying potential patients.

Effective HCP Triggers and Alerts: Leverage enriched data to generate precise alerts to your salesforce.

Improved Salesforce Effectiveness: Empower your salesforce to reach the right HCPs with actionable insights

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