Unstructured Patient Data: A Hidden Crisis
Clinical information is created in many systems and many forms — discharge summaries, letters, operation reports, lab results. But it mostly remains as unstructured free text inside hospital information systems, invisible to the rest of the healthcare ecosystem.
- No interoperability: data does not reach downstream providers, registries, or payers in the right format
- No end-to-end digital process from documentation to forwarding
- Information loss at transitions between institutions and systems
- Manual re-entry of the same data into different forms and registries
- Delays in quality assurance and billing due to missing structure
- No automated reporting to cancer registries, implant registries, or payers
One Platform for All Patient Data
Our platform captures the entire patient record — not just individual report types. The moment a document is created or updated in the hospital system, a fully automated, AI-powered process takes over.
Detection
The system detects the event from the hospital system and automatically picks up the document.
AI Extraction
Diagnoses, procedures, medications, lab values, and all relevant attributes are extracted from free text using AI.
AI Coding
A specialized AI assigns the extracted information to the correct ICD codes.
Validation
An integrated AI validation model checks every coding suggestion and provides a traceable explanation.
Transformation
Structured data is automatically transformed into the required formats: openEHR, FHIR, or CDA documents.
Delivery
Data flows to where it is needed: back into the hospital system, to registries, quality assurance, or downstream providers.
From Hospital System to Structured Data
Every Major Standard, One Platform
| Standard | Use case |
|---|---|
| openEHR | Clinical documentation — compositions based on archetypes and templates |
| HL7 FHIR R4/R5 | Data exchange — resources, bundles, subscriptions |
| HL7 v2 / ADT | Hospital system integration — event-based messages |
| CDA (HL7) | Document exchange — structured and unstructured documents |
| ICD-10 / ICD-11 | Diagnosis coding — automatic assignment with explanation |
| SNOMED CT | Clinical terminology — semantic coding of clinical concepts |
| LOINC | Lab data — standardised laboratory parameters |
Real-World Applications
Discharge Management
After discharge, the report is automatically structured, ICD-coded, and sent as a FHIR bundle to the GP — including medication plan, diagnoses, and follow-up recommendations.
Cancer Registry Reporting
Oncological findings are automatically identified; TNM classification, histology, and treatment decisions are extracted and submitted to the relevant registry in the required format.
Quality Assurance & Billing
All coded data is immediately available for billing and quality indicators. Missing codes or inconsistencies are flagged and reported automatically.
Research & Secondary Use
Structured, standardised data enables secondary use for clinical trials, health services research, and AI training — without manual data preparation.
What You Gain
One seamless, automated process for all patient data
From creation in the hospital system, through intelligent coding and structuring, to delivery in the right format to the right recipient — automatically, transparently, and fully traceable.
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