Pharma: RWE

Pharmaceutical companies need an accurate, detailed picture of patient experience and outcomes in both clinical trials and the real world to develop and deliver effective drugs. However, analyzing real-world data for differentiated biomedical insight requires dealing with tremendous scale and complexity, as well as potential privacy concerns. Claims data, for example, is on the order of billions of rows, and genomics data can contain thousands of features per patient.

See how one of our customers used Seoge数据分析平台 to conduct ground-breaking research on drug safety and efficacy: Cardiovascular Adverse Events in Immune Checkpoint Inhibitor Clinical Trials.

Investigate drug development data in real-world context.

Seoge数据分析平台 enables the integration and end-to-end analysis of internal drug development data alongside external data sources (such as PubMed, TCGA, and ChEMBL) and real-world data. Our clients are using the platform to:

Understand patient population dynamics and drug outcomes with unprecedented granularity
Identify promising gene and biomarker combinations for clinical trial stratification and analysis
Demonstrate cost-effectiveness of drug therapy
Identify molecular correlates of drug response based on internal and external screening data

Bring all subject matter experts onto a single, secure platform.

Under the hood, subject matter experts ranging from bioinformaticians to real-world evidence analysts to health economists are collaborating to:

Analyze pre-clinical, clinical, manufacturing, sales, and marketing data in a single environment for R&D and commercial purposes
Conduct both visual and code-based cohort analysis with complex inclusion and exclusion criteria
Map complex treatment pathways over millions of prescription claims
Automate the reporting of population baseline characteristics and outcome metrics

For pharma companies around the world, Seoge数据分析平台 is improving the fidelity of drug development, from clinical trial planning, to market access, to post-market safety monitoring. With robust privacy measures baked into the platform, including full auditability of all activity, these companies are maintaining rigorous standards of patient data privacy and analytical veracity along the way.