❗ The Problem We Solve
Healthcare and life sciences are increasingly relying on real-world data (RWD) to inform decisions, from shaping value-based care contracts and market access strategies to conducting population-level studies and establishing external control arms.
The current RWD studies' success is limited because real-world health data is messy. Up to 80% of clinically relevant information is hidden in unstructured sources, such as physician notes, scanned letters, and PDF reports. Traditional analytics pipelines depend on pre-structured datasets, manual curation, or coding expertise, slowing research, introducing bias, and missing critical patient insights.
The result? Missed cohorts, incomplete evidence, and delayed answers to urgent research and policy questions.
✅ The ELaiGIBLE RWD Solution
ELaiGIBLE RWD unlocks the full potential of real-world data by using certified, explainable AI to search, filter, and extract insights from every type of patient record, structured and unstructured.
Whether you’re designing a population health study, validating market access outcomes, or constructing external control arms, ELaiGIBLE RWD empowers you to find precise cohorts and generate robust, transparent evidence, directly from the messy reality of clinical practice.
It’s evidence at your fingertips, compliant by design, and seamlessly integrated into existing data ecosystems.
⚙️ How It Works
📂 Scan real-world health data — including EHRs, notes, PDFs, and referral letters
🔍 Define your cohort or question — no coding required, just plain-language criteria
📊 Get explainable outputs — transparent results with citations, matching scores & filters
✅ You stay in control — every query and cohort definition remains fully auditable
🍀 Key Benefits
⛔ No Cohorts Missed
ELaiGIBLE RWD goes beyond structured fields, ensuring all eligible patients are considered, reducing bias, and capturing underrepresented groups, essential for fair and representative evidence generation.
⏱️ From Months to Minutes
What once took months of manual extraction, SQL coding, and curation can now be done in minutes, enabling rapid iterations and real-time responsiveness.
📈 Stronger Evidence for Market Access & Value-Based Care
Generate outcome evidence directly from clinical practice, strengthening payer negotiations, supporting HTA submissions, and proving real-world effectiveness.
💡 Easy Implementation
Integrates directly with EHR environments and hospital IT systems (e.g., ChipSoft HiX, Epic), without forcing workflow changes or requiring data restructuring.
🔐 Certified Privacy-First Infrastructure
Built on ISO 27001 & NEN 7510 standards, with advanced pseudonymisation (via OASYS De-ID) and full compliance with GDPR and EU AI Act.
💬 Explainable AI, Not a Black Box
Every cohort definition and data match comes with transparent reasoning and source citations, ensuring trust, auditability, and clinical oversight.
🧪 Use Cases
Value-Based Care & Outcomes-Based Pricing: Prove treatment impact with real-world evidence
Market Access & HTA: Support reimbursement and payer negotiations with robust population insights
Population Studies: Identify, analyze, and compare cohorts at scale
External Control Arms: Build synthetic comparators to strengthen clinical trial evidence
👉 With ELaiGIBLE RWD, you can turn messy health data into regulatory-grade evidence, faster, fairer, and fully compliant.
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