Coforix provides an open, vendor-neutral AI platform that integrates with existing electronic health records to reduce administrative burden and improve clinical documentation. The platform offers validated AI agents, including a Smart Problem List that automatically extracts and SNOMED CT-codes diagnoses from clinical notes, and a No-show Agent that predicts patient no-shows with 30% fewer missed appointments. All solutions are EU-hosted, GDPR-aligned, and certified under ISO 27001 and NEN 7510.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare professionals spend up to 40% of their time on administrative tasks, including manually coding diagnoses and maintaining problem lists in electronic health records. Vital information trapped in unstructured clinical notes leads to incomplete patient overviews, coding inaccuracies, and delayed clinical decision-making.
Solution
Coforix provides an open, vendor-neutral agentic platform that connects clinical workflows to AI solutions from different hospitals and vendors through one secure, compliant integration layer. The platform supports open healthcare standards such as FHIR, SNOMED CT, and ICD-10, and integrates directly with existing EHR systems. Its Smart Problem List Agent automatically extracts medical problems from letters and notes, structures them in SNOMED CT, and presents them to physicians for validation before they land in the record. The Clinical Data Transformer converts unstructured clinical text into structured, FHIR R4B-compliant data via API, while the No-show Agent predicts patient no-shows and enables automated outreach. All outputs are reviewable, auditable, and clinician-confirmed, ensuring accuracy and trust.
Target Audience
Primary customers are European hospitals, healthcare organizations, and health IT vendors seeking to deploy validated AI solutions that reduce administrative burden and improve clinical documentation accuracy within existing EHR workflows.
Features
- Smart Problem List Agent that automatically identifies, structures, and SNOMED CT-codes medical problems from clinical notes with 90% completeness, 93% accuracy, and 95% correct coding
- Clinical Data Transformer API that converts unstructured clinical text into structured, FHIR R4B-compliant data
- No-show Agent with AI prediction and voice or text outreach, achieving 30% fewer patient no-shows
- Vendor-neutral open platform allowing any model or application to be brought and swapped freely, preventing AI lock-in
- EU-hosted infrastructure aligned with GDPR, NEN 7510, ISO 27001, and the EU AI Act, with no training on patient data
- Reviewable and auditable output with traceable, clinician-confirmed results before integration into the EHR