PSI CRO Slashes Clinical Trial Site Identification Time from Weeks to Minutes with Arango AI

Event summary

  • PSI CRO reduced clinical trial site identification from up to six weeks to minutes using SYNETIC™, an AI-enabled knowledge engine powered by Arango's Contextual Data Platform.
  • SYNETIC™ unifies fragmented clinical research data into a trusted contextual data layer, improving site selection efficiency and reducing costs.
  • The solution addresses the industry challenge where 30-40% of clinical trial sites under-enroll and ~15% never enroll a single patient.
  • SYNETIC™ provides explainable AI insights, including rationale behind site recommendations, supporting evidence, and confidence levels for predictions.

The big picture

The clinical trial industry faces persistent inefficiencies, with operational costs exceeding $160 per minute and millions of dollars lost due to underperforming sites. PSI CRO's success with SYNETIC™ highlights the growing importance of contextual data infrastructure in enabling AI-driven decision-making. This trend is part of a broader shift towards data unification and explainable AI in complex, regulated industries.

What we're watching

AI Adoption
How the pace of AI adoption in clinical research will affect trial timelines and costs.
Data Integration
Whether other clinical research organizations will follow PSI's lead in unifying fragmented data for AI-driven decision-making.
Regulatory Compliance
The extent to which explainable AI will become a standard requirement in regulated healthcare environments.