
igniteIQ & GenomAnalytics
AI/NLP-powered data extraction and analytics for transforming unstructured clinical and genomic documents into structured, standardized assets for registries and research.
Overview
GenomOncology offers two complementary data enablement solutions — igniteIQ and GenomAnalytics (GO Analytics) — designed to help life sciences and healthcare organizations transform unstructured clinical and molecular data into structured, actionable assets. Together, these platforms support registries, real-world evidence generation, precision oncology programs, and AI/ML research initiatives across leading healthcare institutions.
igniteIQ is an AI/NLP-powered platform that automates the extraction and transformation of clinical and molecular data from unstructured and semi-structured documents at scale. It is purpose-built for research data officers, registry managers, real-world evidence teams, and AI/ML researchers who need reliable, high-throughput data pipelines from complex document sources.
Advanced Data Extraction & Normalization
- OCR processing for scanned documents
- AI/NLP-driven free-text extraction
- Automated document classification
- Layout detection for complex document structures
- Entity extraction covering diagnoses, biomarkers, treatments, and dates
- Transformation of raw content into structured data formats
Multi-Document Type Support
- Pathology reports, including molecular and histology
- Radiology reports
- Clinical notes
- Genomic test reports from external laboratories
- Lab results
- Treatment records
Quality Assurance Ecosystem
- Expert-in-the-loop validation workflows
- Automated quality metrics
- Confidence scoring for each extracted field
- Exception handling and review queues
Ontology Mapping & Standardization
- Automatic mapping to ICD-O, SNOMED, LOINC, and HGNC standards
- Support for custom ontologies
- Terminology normalization
- Cross-reference linking across data sources
Metrics & Monitoring Dashboard
- Real-time extraction throughput tracking
- Accuracy metrics broken down by document type
- Quality trend analysis over time
- Resource utilization monitoring
Secure, Scalable Architecture
- Flexible cloud or on-premise deployment options
- Containerized processing for scalability
- HIPAA-compliant infrastructure
- Full audit logging
GenomAnalytics (GO Analytics) is a comprehensive visualization and statistical analysis platform that leverages a unified data foundation to analyze molecular, clinical, demographic, and treatment data. It is designed for molecular pathology lab directors, clinical researchers, cancer registry managers, quality assurance teams, and precision medicine program leaders.
Post-Testing Data Aggregation
- Integration of results from multiple testing platforms
- Unified patient genomic history across data sources
- Cross-institutional data sharing with appropriate permissions
Advanced Search & Filtering
- Genomic variant search by gene, variant type, and allele frequency
- Clinical parameter filtering
- Demographic queries
- Treatment and outcome analysis
- Cohort identification capabilities
Customizable Dashboards
- Pre-built dashboard templates for common use cases
- Drag-and-drop visualization builder
- Scheduled report generation
- Exportable charts and tables
Statistical Analysis Tools
- Survival analysis with Kaplan-Meier curves
- Variant co-occurrence analysis
- Treatment response correlation
- Biomarker prevalence studies
Quality Metrics & Accreditation Support
- Turnaround time (TAT) tracking
- Test volume monitoring
- Variant detection rate reporting
- Proficiency testing support
Research & Discovery
- Hypothesis generation tools
- Population genomics studies
- Genotype-phenotype association studies
- Publication-ready visualizations
Both igniteIQ and GenomAnalytics are developed by GenomOncology and are trusted by more than 50 leading healthcare institutions. Notable deployments include a natural language processing pipeline for a national cancer center and integration with City of Hope's POSEIDON platform. The solutions support HIPAA compliance and are available in cloud or on-premise configurations, making them adaptable to diverse institutional environments and data governance requirements.