PSI, a clinical research organization, built SYNETIC™ using the Arango Contextual Data Platform to unify fragmented clinical trial data across investigators, institutions, protocols, and historical outcomes. By combining graph, vector, document, and search capabilities, the platform creates a trusted, explainable context layer that enables AI-driven site recommendations. The result: clinical trial site identification dropped from six weeks to minutes, reducing non-enrolling sites and saving millions of dollars per study. The system also provides explainable AI outputs with rationale, supporting evidence, and confidence levels—critical for regulated healthcare environments.
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TL;DRThe Hidden Cost of Clinical Trial Site SelectionWhen Critical Knowledge Is Trapped in SilosWhy PSI Needed a Contextual Data PlatformBuilding SYNETIC™: PSI’s AI-enabled Knowledge HubWhy Explainable AI Matters in Clinical TrialsFrom Six Weeks to MinutesThe Future: Natural Language Access to Clinical Research KnowledgeA New Foundation for Contextual AI in Clinical ResearchFrom weeks to minutes, your team can move faster too.Sort: