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

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 Contextual Data Platform.
  • SYNETIC™ unifies fragmented clinical research data into a trusted contextual data layer, preserving relationships across investigators, institutions, study protocols, and historical outcomes.
  • The platform provides explainable AI insights, including rationale behind site recommendations, supporting evidence, confidence levels, and visibility into missing information.
  • Arango's multimodel platform combines graph relationships, vector embeddings, documents, key-value data, and search capabilities to analyze clinical research data connections.
  • PSI CRO and Arango aim to accelerate trial timelines and avoid millions of dollars in unnecessary costs by identifying higher-performing trial sites faster.

The big picture

The collaboration between PSI CRO and Arango highlights the growing importance of unified data platforms in enabling AI-driven decision-making in clinical research. By addressing the persistent inefficiency of under-enrolling trial sites, this partnership could significantly impact the $160-per-minute operational costs of clinical trials, potentially saving millions per study. The success of SYNETIC™ may set a new standard for AI adoption in the healthcare sector, emphasizing the need for transparent, explainable AI systems in regulated environments.

What we're watching

AI Trust
How PSI CRO's explainable AI insights will affect researcher trust and adoption rates in clinical trial site selection.
Cost Efficiency
Whether the reduction in non-enrolling sites will sustainably lower operational costs for clinical trials.
Data Integration
The pace at which other clinical research organizations adopt unified contextual data layers for AI-driven decision-making.