Accelerate rare disease research with structured clinical data
Turn fragmented clinical information into standardized, research-ready datasets that support registries, natural history studies, and evidence generation.
Clinical data exists. Research-ready data doesn't.
Rare disease research depends on high-quality clinical data, yet every institution captures information differently. Researchers spend months standardizing records before meaningful analysis can begin.
Building research-ready data at the point of care
Genetico structures clinical information during routine care, creating standardized datasets that support research, registries, and longitudinal studies.
Standardized clinical data capture
Structured clinical workflows ensure consistent data collection across institutions while remaining adaptable to different research programmes.
Automated phenotype extraction
AI converts unstructured clinical notes into standardized HPO terminology, reducing manual effort while improving data consistency.
Cohort discovery & longitudinal insights
Identify patient cohorts, monitor disease progression, and generate longitudinal datasets for natural history studies and evidence generation. Cohort views are launching soon.
Enabling better rare disease research
Structured clinical data improves research quality, accelerates study execution, and enables reproducible evidence across institutions.
Research datasets are prepared in days rather than months of chart review.
One schema across participating centres makes data comparable by default.
Supports registries, natural history studies, and collaborative research.
Better rare disease research starts with better data
Talk to us about turning fragmented clinical information into structured, research-ready datasets for your programme.