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Xplain Data CausalDiscoverer for HealthCare

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CausalDiscoverer for HealthCare by Xplain Data is an enterprise-grade Causal AI platform built to unlock clinical insights from complex real-world data (RWD) and electronic health records (EHR). While traditional medical analytics struggle with data silos and misleading correlations, our solution identifies the potential causal drivers behind patient outcomes and disease progression. The platform delivers unmatched precision through two core pillars: • ObjectAnalytics™: Assembles each patient's complete history into one holistic object – in the right time order, across every source. By bringing together diagnoses, prescribed drugs, lab values, hospital cases, and surgeries etc., this 360° view enables clinicians and researchers to analyze how complex medical events interact over years, moving far beyond traditional flattened rows and columns. • CausalDiscoverer: Acts like a "clinical CT scan" rather than a flat X-ray, scanning the patient data from millions of perspectives. Without requiring pre-defined hypotheses or manual feature engineering, it automatically tests millions of factors, adjusts for hidden confounders, and maps the results into an intuitive causal graph, uncovering causal pathways. Presented at ISPOR and trusted at scale by major healthcare institutions like AOK NordWest and Insight Health (powering nationwide pharma analytics covering 64M+ patients), CausalDiscoverer turns healthcare complexity into actionable, privacy-compliant insights.

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