Case Study: Linking Real-World Datasets to Identify Cost Drivers in Lung Transplantation
How a biotechnology company used real-world data analysis to uncover cost drivers and validate the economic impact of EVLP.
What You’ll Learn:
- Real-World Data Integration – Linking registry and claims data to reveal drivers of cost.
- Predictive Modeling – Logistic regression to identify high-cost patient segments.
- Clinical & Economic Insights – Understanding drivers such as ECMO, acute rejection, and hospital length of stay.
- Evidence-Driven Market Access – Strengthening payer discussions for novel transplant technologies.
Key Outcomes:
- EVLP was not associated with increased payer costs.
- Cost contributors identified—ECMO, acute rejection, commercial insurance, length of stay.
- Findings accepted for podium presentation and peer-review submission.
Learn how Magnolia Market Access uses real-world evidence to clarify cost drivers and strengthen payer narratives.
