Research organizations struggle with siloed datasets, lack of real-world validation, and limited scalability of clinical evidence. Without structured, interoperable data, insights take years to materialize.
cliexa enables longitudinal, de-identified, real-world data capture and AI-driven analytics at scale. Our platform curates structured datasets across comorbidities, generates synthetic clinical data with cliexaEcho, and provides explainable predictive models validated in clinical settings.
By leveraging our AI-powered platforms, the leading academic medical center achieved an 18% reduction in in-hospital mortality, a 22% reduction in 30-day readmissions, accelerated time-to-intervention by 6–8 hours, and cut manual monitoring time by 32%, enabling faster, more effective patient care and streamlined research processes.
