Building Federated Data Networks with Common Data Models to Generate Insights through Real-World Evidence Observational Studies in Oncology
Accessing and standardizing raw clinical data across multiple hospitals presents a challenge in Oncology. However, it is crucial to use real-world data sources such as electronic health records (EHR) to leverage untapped information. We are building a federated data network to facilitate GDPR-compliant data exchange of large datasets, with hospitals as owners. This network, governed by a common data model (CDM), is aimed at fostering multicenter, observational, real-world evidence (RWE) studies in Oncology, with breast cancer, lung cancer, and immunotherapy as therapeutic areas of focus.
Download our poster, as presented at ISPOR Europe 2023, and learn more on the federated data networks in Oncology LynxCare is building.
Authors: Clara L. Oeste, Dries Hens, Isabelle Fovel, Carlos Bringas, Ernesto Encarnación, Georges De Feu
Clinicians can leverage the resulting RWE to develop personalized treatment plans based on patients’ specific characteristics, disease progression, and prognostic factors. These insights can also inform evidence-based guidelines and regulatory decisions. This groundbreaking initiative will expand to other European countries, providing a sandbox of federated data networks for multicenter RWE studies in Oncology, but also paving the way towards precision medicine.
Complete the form above to download the poster and discover the methods used and the first results obtained.
Clinicians can leverage the resulting RWE to develop personalized treatment plans based on patients’ specific characteristics, disease progression, and prognostic factors. These insights can also inform evidence-based guidelines and regulatory decisions. This groundbreaking initiative will expand to other European countries, providing a sandbox of federated data networks for multicenter RWE studies in Oncology, but also paving the way towards precision medicine.
Complete the form above to download the poster and discover the methods used and the first results obtained.
