Clinical data that connects across studies.
Trial data, safety signals, operational metrics — scattered across EDC, CTMS, safety databases, and labs with no shared context. Fluree connects them into a governed clinical knowledge graph where entities resolve across studies, quality travels with the data, and institutional knowledge compounds instead of disappearing when the database locks.
What is clinical data intelligence?
Clinical trials generate enormous volumes of structured and unstructured data: demographics, adverse events, lab results, concomitant meds, efficacy endpoints, site performance metrics, safety signals. Each study captures it with its own CRF design, coding conventions, and metadata — and when the database locks, that institutional knowledge disappears.
Fluree creates a clinical knowledge graph that connects trial, safety, and operational data across your entire portfolio — with governed vocabularies, cross-study entity resolution, and quality-aware lineage.
Every mapping decision, every entity resolution, every quality annotation compounds — so each subsequent study starts from accumulated knowledge, not a blank page.
Three steps.
One clinical knowledge graph.
From fragmented study systems to resolved entities and cross-study answers — with full regulatory lineage.
Connect clinical systems.EDC, CTMS, safety DBs, labs, eTMF — Fluree reads them in place. No migration, no duplicated data.
Entities resolve across studies.Subjects, investigators, adverse events, meds — golden records with lineage that persist across the portfolio.
Cross-study answers in seconds.Ask in plain language. Every answer traces back to the study, site, and source — with governed clinical vocabulary applied.
Six capabilities no single EDC, CTMS, or platform
gives you on its own.
Subjects, investigators, AEs — resolved across your entire portfolio
Dr. Chen runs sites in three of your trials. An adverse event is coded differently across programs. Fluree matches these to golden records automatically, with confidence scores and full lineage. Cross-study analysis goes from months of manual reconciliation to a query.
- Subjects, sites, investigators, AEs, meds all resolve
- Persist across studies — Phase I signals inform Phase III
- Confidence scores + audit trail on every resolution
Traditional clinical data management vs.
Fluree.
A direct comparison of siloed CDM approaches against a governed clinical knowledge graph — across the dimensions that drive submission quality and speed.
Global pharma teams — live on Fluree today.
We’ve seen faster time-to-market as the result of enabling data-driven collaboration — enabling us to capture upwards of $150M in opportunity cost per month saved.
The clinical data playbook.
Whitepapers, practitioner guides, and one-pagers covering cross-study intelligence, SDTM acceleration, and governed clinical vocabularies.
Improving pharma R&D data collaboration.
Download whitepaper
How Semantic Data Accelerates Regulatory Compliance in Pharma
Why linked-data and governed vocabularies collapse the time from trial close to submission-ready data.
Read the articleAutomating Regulatory Compliance With Knowledge Graphs
How a governed knowledge graph turns regulatory submission prep from a quarterly project into a continuous capability.
Read the article
Pharma knowledge graphs — drug cost efficiency.
How life-sciences teams use knowledge graphs to connect trial, compound, and regulatory context — for faster, better-governed decisions.
Recognized by Gartner
Gartner, “Cool Vendors in Data Management: GenAI Disrupts Traditional Technologies,” 30 May 2024. GARTNER and COOL VENDORS are registered trademarks of Gartner, Inc. and/or its affiliates and are used herein with permission. Gartner does not endorse any vendor, product or service depicted in its research publications.
Every mapping, every resolution, every quality annotation — preserved.
Fluree makes clinical data intelligence cumulative, not disposable — so each study starts from the accumulated wisdom of every study before it.
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