Stop treating radiology reports as narrative text. RADIEWCARE + QUIBIM deliver structured, coded, FHIR-ready imaging data with 400+ quantitative biomarkers — ready for regulatory submission and AI-driven analysis.
GDPR-compliant multi-centre imaging · IECC structured endpoints · QUIBIM 400+ imaging biomarkers
The problem
Free-text radiology reports cannot be queried, aggregated or fed into statistical models without expensive manual extraction.
Different radiologists, different centres, different terminology — making cross-site data harmonisation a major bottleneck.
Quantitative imaging biomarkers (tumour volume, ADC, SUV, texture features) are described in text but never captured as structured data points.
The solution
Every imaging finding captured as a structured, coded data object — queryable, aggregatable and ready for statistical analysis.
Standardised IECC templates ensure consistent data capture across all trial sites, regardless of local radiologist or RIS platform.
QUIBIM radiomics platform extracts and quantifies imaging biomarkers at scale — tumour volume, perfusion, texture, molecular prediction.
Biomarker coverage
Via our strategic alliance with QUIBIM, we deliver quantitative radiomics and radiogenomics analysis for the most relevant molecular targets in precision oncology.
All biomarkers are evidence-graded (Level A–C), SNOMED CT coded and delivered as structured FHIR DiagnosticReport resources.
Request the full biomarker catalogue →Use cases
Structured imaging endpoints (RECIST, iRECIST, volumetric) captured consistently across all trial sites. Biomarker extraction for companion diagnostic development. FHIR-ready data for regulatory submission packages.
Correlate imaging features with genomic data (EGFR, KRAS, BRAF, PD-L1) to develop non-invasive biomarkers. Texture analysis, perfusion mapping and molecular prediction at scale.
Retrospective and prospective structured imaging data from real clinical settings. Multi-centre cohorts with harmonised IECC reporting. Linkable to EHR and genomic databases.
High-quality structured imaging datasets with expert radiologist annotation and biomarker labels. Ideal for training and validating diagnostic AI models for regulatory submission.
Compliance & governance
Data processed under EU GDPR. Anonymisation and pseudonymisation protocols. Data processing agreements available.
Full traceability per study: radiologist ID, timestamp, version history, quality flags. Exportable for regulatory dossiers.
All structured data delivered as FHIR DiagnosticReport resources. Compatible with major EDC and regulatory submission platforms.
Harmonised IECC templates ensure consistent data capture across all sites. Central quality review available.
Tell us about your study — indication, phase, imaging modalities and endpoints. We will come back with a concrete proposal for structured imaging data collection and biomarker analysis.
info@radiewcare.com · Response within 24 hours