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Upgrading Medical Research

MediXtract

Transforming fragmented medical records into structured, high-quality registries through expert-validated AI extraction.

Introduction: The Clinical Burden

The weights of unstructured data.

Clinical expertise is often trapped in text. Up to 80% of valuable patient data is stored in unstructured formats—discharge letters, surgical reports, and clinical notes.

What this means: For clinicians and researchers, extracting this data manually is an overwhelming burden that requires years of tedious work. This fragmentation results in "data silos" where critical information remains inaccessible, slowing down life-saving research and limiting the potential for large-scale clinical insights.

The Solution: Bridging Data and Science

Intelligent systems that live where your data resides.

We deploy a custom-built intelligence layer directly within your hospital’s secure infrastructure. This system acts as a resident engine that transforms raw, unstructured clinical records into high-fidelity research registries—ensuring that clinical knowledge is unlocked while your data never leaves your control.

By combining medical expertise with auditable AI, we create a transparent pipeline where every extracted value is anchored in clinical evidence and every decision is verifiable by clinical staff.

MediXtract Ecosystem

A unified ecosystem of tools and expertise

To put our resident extraction intelligence into action, we provide a proprietary suite of tools designed to handle every stage of the clinical data journey.

The Architect

A collaborative space where clinicians and engineers co-design registry logic, resolve clinical ambiguities, and establish the "ground truth."

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The Extractor

The day-to-day interface for data abstraction, offering AI-assisted visualization and source-context links for rapid validation.

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The Advisory

Bespoke development and strategic support to build, maintain, and audit complex medical workflows.

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Case Study: The NEC Registry

Scaling rare disease research with Inselspital Bern.

Necrotising enterocolitis (NEC) is a devastating emergency for premature newborns. Together with the University of Bern, we are building the first automated pipeline to extract over 850 variables from fragmented neonatal records.

  • Status: Active — Pilot phase in progress.
  • Impact: Transforming years of manual abstraction into a scalable, research-ready dataset.

Ready to transform patient data abstraction?

Connect with our team to start building your high-fidelity research registry.