Flatiron Vessel™ is a next-generation platform specifically created to address the needs of today’s increasingly complex trials, enabling seamless data collection and management. The configurable system reduces the need for custom code, enabling study set-up and amendments in a matter of days rather than weeks or months — translating to time and cost savings, and getting your trial results sooner.
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Flatiron Vessel™
Change the way you think about trial data management
Greater efficiency and ease with Flatiron Vessel™
- Built for compliance
Flatiron Vessel™ was built to meet and exceed the highest regulatory standards. Our platform can export study data tabulation models (SDTM), as required by the FDA, enabling near real-time analysis and submission.
- Configurable & sustainable approach
Our configuration approach and pre-built workflows can handle the most complex trial protocols with unmatched speed and efficiency, without the need for custom code. Once running, Flatiron Vessel™ handles protocol changes within hours — without the need for data migrations and downtime. Never miss a key milestone again.
- Flexible source data ingestion
Source data exists in many locations and can be slow to gather in traditional EDC systems. Flatiron Vessel™ captures source data through API integrations, EHRs (via Clinical Pipe™) and/or directly entered as eSource or transcription — all in a single system. Collecting data in the format it already exists makes collection quicker and analysis easier.
- Earlier safety signal detection
A more efficient data verification and cleaning process accelerates the detection of key safety signals.
By the numbers
| Legacy EDCs | Flatiron Vessel™ | |
| STUDY BUILD | 3 months | 5 days |
| AMENDMENT VALIDATION | 1-2 weeks | 1-2 days |
| DATA CLEANING | Non-reusable process | Reusable process |
| DATA REVIEW & REPORTING | Requires custom code | Ready-built workflows |
Protocol uploaded directly into Flatiron Vessel™
Source Upload functionality enables side-by-side data entry
[Flatiron Vessel™] exports data so much closer to ready-to-analysis, it’s basically SDTM ready. And that for us is a huge difference…we need to be able to have that data just ready to go.