Medical Imaging Data Extraction & Analytics
Extract structured clinical data from radiology reports, DICOM metadata, and imaging workflows — turning unstructured imaging information into analysis-ready datasets.
Unlocking the Data Inside Medical Images
Radiology and imaging departments generate vast quantities of clinically valuable data — but most of it is locked inside unstructured reports, DICOM headers, and siloed PACS systems. Image2Chart extracts, structures, and connects imaging data to the broader clinical record.
Using NLP-powered report parsing and DICOM metadata extraction, Image2Chart transforms imaging workflows into a structured data asset that supports population health, quality measurement, and AI model training.
The Challenge
Medical imaging data is among the richest clinical information available, yet it remains largely inaccessible for analytics. Radiology reports are unstructured text. DICOM metadata is inconsistently populated. PACS systems are siloed. The result: imaging data that cannot be queried, trended, or integrated with the rest of the clinical record.
The Image2Chart Solution
Image2Chart bridges the gap between imaging systems and clinical analytics. NLP models parse radiology reports to extract findings, diagnoses, and measurements. DICOM metadata is normalized and linked to patient records. The result is a structured, queryable imaging dataset that integrates seamlessly with the Data2iQ platform.
What You Gain
NLP Report Parsing
Clinical NLP models extract findings, diagnoses, laterality, and measurements from free-text radiology reports — converting unstructured narrative into structured, codified data.
DICOM Metadata Extraction
Automated extraction and normalization of DICOM header attributes — modality, body part, acquisition parameters — linked to patient and study identifiers.
PACS Integration
Connects to major PACS and VNA systems via DICOM and HL7 interfaces. No rip-and-replace — Image2Chart works alongside your existing imaging infrastructure.
AI-Ready Datasets
Structured imaging data feeds directly into AI model training pipelines, quality measurement programs, and population health analytics — accelerating research and operational improvement.
What It Does
Connect
Image2Chart connects to PACS, VNA, and RIS systems via DICOM, HL7, and FHIR interfaces — ingesting both imaging metadata and associated radiology reports.
Extract
NLP models parse radiology reports to extract clinical findings, diagnoses, and measurements. DICOM metadata is extracted and normalized in parallel.
Structure
Extracted data is mapped to standard terminologies (SNOMED CT, RadLex, ICD-10) and linked to patient records, creating a unified imaging data record.
Deliver
Structured imaging data is available via API and dashboard for clinical analytics, quality programs, AI training, and population health reporting.
Standards & Security
See Image2Chart™ in Action
Request a personalized demo and see how Image2Chart™ can transform your data workflows.