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DocNexus

Unifying global healthcare data into decision-grade intelligence for life sciences teams.

Software Development
Seattle, US
19 employees
7 public signals

About DocNexus

DocNexus is an AI-powered commercial real-world data platform that unifies healthcare’s most fragmented data including claims, prescriptions, procedures, referrals, HCP and HCO identities, publications, clinical trials, payments, social signals, and news into decision-ready knowledge graphs for life sciences teams. We help pharmaceutical and biotech companies accelerate research, strengthen competitive intelligence, and make higher-quality strategic decisions with speed and confidence. With coverage spanning 12M+ HCPs and KOLs, 595k+ HCOs, 350M+ patients, and billions of medical, scientific, and digital signals, DocNexus provides a single, comprehensive view of the healthcare ecosystem, continuously refreshed and instantly searchable. Core capabilities include: 🔵KOL and HCP discovery across 36 therapeutic areas using ranking signals from publications, trials, procedures, payments, referrals, and digital influence 🔵Influence and collaboration mapping powered by AI-generated knowledge graphs 🔵Commercial real-world data analytics for opportunity sizing, targeting, and competitive benchmarking 🔵Payer mix, reimbursement, and access insights to support market access strategy 🔵Advanced HCO and IDN search for site selection, procedure density, and health system mapping 🔵AI-powered search across healthcare real-world data that delivers instant, contextual insights to support fast, evidence-based decisions, Life sciences teams use DocNexus to: 🔵Identify KOLs and assemble advisory boards in days instead of weeks 🔵Select high-performing investigators and clinical trial sites with evidence-based precision 🔵Target the right HCOs, IDNs, and referral hubs for commercial strategy 🔵Monitor competitors and emerging scientific leaders in real time 🔵Centralize insights, dashboards, lists, and workflows across medical, commercial, and market access teams

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7 published signals

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