For Clinical Teams
847 assertions. 90 seconds. Not 4 hours.
OpenBio assembles the complete provenance-tagged clinical record so your tumor board reviews evidence, not logistics.
James Morrison, 58
Homo sapiens \u00b7 NSCLC Oncology
6 source systems \u00b7 trust distribution
Fragmented records
Patient records scattered across 3–8 health systems with no unified view.
Terminology gaps
Lab names, genomic reports, and EHR codes don’t match — normalization is manual.
No provenance
No way to know if a lab result is current, where it came from, or how it was derived.
What OpenBio does in those 4 hours.
Cross-System Ingestion
Ingest from FHIR, CSV, HL7, PDF. Every record gets source-tagged and normalized into the evidence schema.
Trust Layer Audit Trail
Source facts stay immutable. Extracted and derived layers stack on top. The board sees exactly where each claim came from.
Temporal Context
Every assertion carries when it applies — not just when it was recorded. Track disease progression across years, not snapshots.
What if your tumor board saw the full story — before walking in?
James Morrison \u2014 Trust Distribution
847
assertions
6 source systems
1 subject
assembled in 90 seconds
The James Scenario
847 assertions. One unified record.
James arrives at tumor board with stage IIIA NSCLC. Without OpenBio: 4 hours of coordinator time pulling records from Mayo Clinic EHR, Foundation Medicine genomics, PACS imaging, pharmacy, primary care, and insurance claims.
With OpenBio: 90 seconds to assemble 847 assertions, with every EGFR exon 19 deletion finding linked to the biopsy that produced it. Each claim carries its source system, its trust layer, and its temporal context.
Synthetic data used for demonstration purposes.
Source Fact
variant call
EGFR Exon 19 deletion
Foundation Medicine · FoundationOne CDx
Normalized
imaging finding
CT: 2.3cm mass, right upper lobe
PACS · 2024-11-14
Normalized
imaging finding
PET scan: hypermetabolic activity
PACS · 2024-12-02
Source Fact
medication
Erlotinib 150mg daily
Sequoia Pharmacy
Normalized
lab result
HbA1c 7.9% — elevated
Mayo Clinic EHR
Source Fact
lab result
Hemoglobin 9.8 g/dL
Mayo Clinic EHR