Standard data sets.Turning Fragmented Clinical Data into Global,Comparable Real-World Evidence
Comparable outcomes without moving patient data.
Turning Fragmented Clinical Data into Global, Comparable Real-World Evidence
Healthcare systems generate vast amounts of data every day. Most of it remains fragmented, inconsistent, and impossible to use beyond the walls of the institution that created it. Bavel Health Standard Data Sets change that.
The fragmentation problem
Siloed by design. Broken by default.
Different coding systems, variable definitions, and clinical practices make it nearly impossible to compare outcomes, train reliable AI models, or generate real-world evidence at scale. Bavel Health Standard Data Sets provide the shared, clinically governed foundation that turns diverse hospital data into consistent, interoperable, and AI-ready datasets.
Hospitals keep full control of their data. Bavel defines how it is structured and understood, enabling collaboration without losing ownership.
What are Bavel Health Standard Data Sets?
Production-ready clinical data models.
Designed to support real-world evidence across institutions and countries, AI model development and validation, clinical benchmarking and decision support, and regulatory-grade research. Each dataset follows a modular structure built around two components.
Breast Cancer Standard Data Set
A fully designed oncology data model that supports care, research, and AI.
Built on a shared oncology core, extended with breast cancer-specific variables, and designed as a longitudinal model that captures the full patient journey, from diagnosis through treatment to long-term outcomes.
What makes it different
- Built on a shared oncology core, enabling comparison across different cancer types
- Extended with breast cancer-specific variables, including tumour biology and outcomes
- Designed as a longitudinal model, capturing the full patient journey
- Fully coded and structured, ensuring precision and interoperability
What it enables
- Understanding real-world treatment pathways
- Comparing biomarkers, therapies, and outcomes across populations
- Combining clinical data with patient-reported outcomes
- Running multi-hospital studies without custom data work for every new collaboration
Why it matters
Clinical experience becomes shared knowledge
Research becomes faster and more reliable
AI models become safer and more useful
Outcomes become comparable across systems
When hospitals across countries use the same standard, data starts to reflect the real diversity of human health. Evidence becomes more representative. The dataset becomes a long-term strategic asset, not just for one institution, but for the field. Hospitals keep full control, while gaining comparability and impact.
Real-world diversity. Representative evidence. Long-term strategic asset. Full institutional control.
From data to action
The data layer
In a data-driven era, fragmentation is a clinical risk.
Bavel Health Standard Data Sets turn routine clinical data into a shared strategic asset, enabling better decisions, stronger evidence, and AI that actually works across the real world of healthcare.
Privacy-preserving by design. FHIR, OMOP, OpenEHR compatible. Federated and scalable. Hospital-controlled at all times.