Patient data
that finally makes sense.
Clinical data is spread across dozens of systems. Ontos compiles it into a unified, confidence-scored patient ontology — so every decision starts from the full picture.
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The clinical data challenge
of healthcare data is unstructured
systems per average hospital
annual cost of poor data quality in US healthcare
HIPAA compliance is a constant overhead. Patient records are fragmented across EMRs, labs, imaging systems, and referral networks. Clinical decisions are made from incomplete data — and integrating new sources takes months.
What changes
Patient data across 18+ systems
Manual HIPAA compliance checks
Clinical decisions from incomplete data
Months to integrate new data sources
Unified patient ontology, one view
Automated, continuous compliance
Confidence-scored clinical intelligence
MCP connectors, live in weeks
Built for healthcare
Patient Data Unification
Every EMR, lab system, imaging platform, and referral network — compiled into a single, structured patient ontology.
Compliance Automation
HIPAA, HITECH, and state-level regulations monitored continuously. Every access logged, every disclosure tracked.
Clinical Decision Support
Confidence-scored intelligence from the full patient record. Not just data — context, provenance, and relevance.
Research Intelligence
Structured clinical data ready for research. Cohort identification, pattern detection, and outcomes analysis at scale.
Better data.
Better care.
See what ontos does with your clinical data.