TrueExtract: Automated Data Extraction from Clinical Documents
Transform unstructured clinical documents into clean, structured, interoperable data. TrueExtract combines advanced OCR, clinical NLP, and FHIR/HL7 output to power your downstream workflows.
End-to-End Data Extraction Pipeline
From raw document ingestion to structured, validated output, TrueExtract handles every step with clinical-grade precision and healthcare interoperability standards built in.
Multi-engine optical character recognition handles low-quality scans, handwritten notes, and complex document layouts. Pre-processing pipelines automatically correct skew, remove noise, and enhance readability before extraction.
Purpose-built NLP models trained on millions of clinical documents extract entities including diagnoses, medications, procedures, lab values, vital signs, and provider information with specialty-aware context.
Extracted data is normalized, validated, and output in structured formats ready for downstream consumption. Support for JSON, CSV, XML, and direct database insertion via configurable mapping templates.
Native FHIR R4 and HL7 v2 support enables seamless data flow into electronic health records, data warehouses, and analytics platforms. Bi-directional APIs keep systems synchronized in near real time.
The Extraction Pipeline
A four-stage pipeline processes documents from raw input to standards-compliant structured output.
Document Ingestion
- Accept any format: PDF, TIFF, JPEG, HL7 CDA, CCDA
- Auto-detect document type and orientation
- Queue management for high-volume processing
AI Processing
- Multi-engine OCR with quality scoring
- Clinical NLP entity extraction
- Cross-reference and validation against medical ontologies
Data Normalization
- Map to standard terminologies (SNOMED, LOINC, RxNorm)
- Resolve abbreviations and synonyms
- Apply configurable business rules
Structured Output
- FHIR R4 resources and HL7 v2 messages
- JSON, CSV, XML export formats
- Direct API delivery or webhook callbacks
Use Cases
TrueExtract powers data-driven workflows across the healthcare ecosystem, from payer operations to clinical research.
Claims Processing
Extract diagnosis codes, procedure details, dates of service, and provider information from clinical documents to accelerate claims adjudication and reduce manual data entry errors.
Quality Reporting
Automatically pull quality measure data from clinical documentation to support CMS reporting programs, HEDIS measures, and value-based care initiatives without burdening clinical staff.
Clinical Research
Accelerate research data collection by extracting structured data from medical records, pathology reports, and clinical notes. Build cohorts, identify eligible patients, and populate research databases.
Population Health
Aggregate clinical data across patient populations to identify risk factors, track chronic disease management, and support care gap closure programs with accurate, timely data extraction.
Frequently Asked Questions
Turn Unstructured Documents into Structured Data
See how TrueExtract can automate your clinical data extraction with 99% accuracy and full interoperability.