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Healthtech · Health Data & Interoperability · 11–50 · Europe #b030_22

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Context

We turn hospitals' unstructured clinical records into validated research datasets, serving care quality teams and life-science researchers.

Industry: Healthtech · Health Data & Interoperability
Size: 11–50 employees
Region: Europe
Tools budget: under $1K per month
Needs: Document AI & extraction. Most useful hospital information is in free-text notes, and our language models must extract it reliably in several languages.
Data quality & observability. Before sharing real-world data with research partners, every extracted variable needs clinical validation, which is slow by hand.
EHR data sync. Each partner hospital stores records differently, so connecting new sites to our platform takes too long.
Expects from suppliers: Strong multilingual clinical text handling; Hospital-side deployment options; Affordable for a small scaleup
Not a fit: English-only extraction tools; Services that move raw records off hospital premises
Stack: on-prem / private cloud, EHR system in place, LLM APIs in production
Buying triggers: AI adoption push, new market or product launch

Needs

NEEDHealthtech · Health Data & Interoperability · 11–50 · Europe #b030_22Simulated· Data

We extract many variables from clinical notes, and each one needs a clinician to check it before we share data with research partners. By hand, that review is slow and eats our small team's time. A good solution must flag likely errors, sample smartly, track reviewer decisions, run inside hospital walls, and stay affordable for us.

Budget: under $1KTrigger: AI adoption pushStack: on-prem / private cloud

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