Hospital source systems
PDF / EHR / LIMS / RIS
Clinical real-world data infrastructure
omnif.ai
Transforming medical Real-World Data into clinical-trial-ready, auditable evidence.
Patient pathway oncology
From scattered source documents to a longitudinal patient pathway.
Omnifai structures the clinical journey across presentation, diagnostics, surgery, adjuvant therapies, outcomes, and follow-up.
Privacy, interoperability, auditability
Built for hospital reality, not clean-room datasets.
Source systems stay close to home. Data is anonymized locally, structured securely, and exported into formats that clinical, registry, and research teams can reuse.
Privacy-by-design
Local anonymization gateway and PHI checks.
Secure structuring
LLM-based extraction with fully anonymized data.
Audit trail
Every element traceable to source and timestamp.
Interoperable outputs
ICD-10-GM / CHOP / ICD-O-3 / SNOMED / SPHN
Automated medical data structuring
Dashboards and study-grade data from existing clinical records.
Transform existing data into universal resources
Manual, fragmented minimal data sets become automated maximal data sets.
Cancer registries
Registry-ready variables, longitudinal updates, completeness checks, and source evidence.
QA and certifications
DKG / Q-Label documentation, pathway times, guideline concordance, and quality indicators.
Structured EPD / EHR
Patient-accessible summaries and interoperable structured fields.
Precision medicine
Molecular cohorts, prior therapies, and outcomes for tailored decisions.
Comparator arms
Off-label real-world data and synthetic external controls for studies.
AI-assisted healthcare
Smart-hospital workflows for automated and interactive patient care.
Clinical reality vs guidelines
Measure real-world pathways against recommendations and reveal gaps or variation.
Health system and payers
Population-level outcomes, resource use, and access insights.
Beyond oncology
Reusable extraction patterns for cardiology, neurology, pathology, radiology, and more.
Project partners
omnif.ai
Ready to structure real-world clinical data?
Talk to us about turning source records into reusable, audit-ready evidence.
Contact us