Data Providers · TriNetX
Embedded real-world data and AI earlier in trial planning to accelerate study-design decisions
Unnamed global pharma organization embedded real-world data and AI earlier in trial planning to accelerate study-design decisions — the customer is anonymised in the vendor’s own case study, not withheld by us.
TriNetX is a federated real-world-data network where data stays behind each health system's firewall and is queried in place, used for cohort discovery and trial-site feasibility.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Source
Published by TriNetX on its own site — read the original case study on trinetx.com ↗
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- 04Accessed data on ~200,000 burn patients to rapidly analyze rare burn conditions, uncovering mortality-rate and drug-related findings
- 05Joined the TriNetX network for access to 68M+ de-identified patient records across 49 organizations, expanding research and publication output
- 06Completed analytics work in 3 months that previously took 3–4 years, streamlining clinical-trial participant identification