Horizon Datascapes

Horizon Datascapes, developed by Flatiron, are tailored real-world data (RWD) solutions designed to address the specific evidence generation needs of oncology portfolios. Drawing from over 4 million patient journeys and 1.5 billion data points, Horizon Datascapes deliver de-identified longitudinal datasets that enable life sciences organizations to generate robust real-world evidence across a wide range of oncology use cases.

The platform's flexible, fit-for-purpose approach allows customers to configure datasets that seamlessly address multiple research and commercial objectives. Whether a single dataset or a bundled solution is required, Horizon Datascapes can be precisely tailored to meet the demands of any oncology evidence program.

Four Key Configuration Dimensions

• Cohort: Select from over 22 predefined disease-specific cohorts, or narrow focus further using treatment, biomarker, and demographic-specific cohort definitions.
• Variables: Customize the depth of patient journey data with structured, abstracted, derived, and ML-extracted data elements, including scientifically validated outcomes variables such as real-world response and progression.
• Cadence: Choose between one-time or recurring data deliverables, with data recency of up to 30 days to support timely decision-making.
• Locality: Access high-quality oncology data across four of the largest global oncology markets — the United States, Japan, Germany, and the United Kingdom — enabling evidence generation for patients worldwide.

Available Data Types for Configuration

• Panoramic Data: Flatiron's largest available, non-sampled patient cohorts with real-world data spanning multiple disease settings.
• Multinational Data: Global oncology real-world data now available across the UK, Germany, and Japan, supporting international evidence needs.
• Multimodal Data: Enables generation of larger cohorts and deeper insights across patient outcomes, genomics, cost of care, and additional dimensions.
• Custom Data: Data curated with additional inclusion and exclusion criteria for more precise cohort definitions, along with supplementary variables to answer novel research questions.
• Enhanced Datamarts (EDMs): Clinically deep oncology real-world data enabling focused analysis of key aspects of the patient journey.
• Rapid Enhancements: Further customization options available through a menu of additional variables — including outcome variables such as real-world response and progression — applied across a larger pool of patients.

Key Capabilities and Benefits

• Access to over 4 million patient records and 1.5 billion data points for statistically robust analyses.
• Unprecedented flexibility to configure single or bundled datasets tailored to specific oncology portfolio needs.
• Support for multiple use cases within a single data solution, reducing complexity and time to insight.
• Scientifically validated outcomes variables to strengthen the credibility of real-world evidence generation.
• Multinational data coverage enabling cross-market oncology research and regulatory submissions.

Horizon Datascapes are designed to support oncology evidence generation across global markets, offering configurable, high-quality real-world data solutions that can be adapted to the evolving needs of pharmaceutical and biotech organizations at any stage of their portfolio development.