GenomOncology

by GenomOncology
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OVERVIEW

Precision oncology software and data solutions that transform complex genomic data into actionable insights for clinicians, labs, and researchers.

GenomOncology provides a comprehensive suite of end-to-end clinical informatics solutions for cancer, built upon its core Precision Oncology Platform (POP). POP is an augmented intelligence stack that houses extensive rules, annotations, and ontologies, enabling users to move, convert, and interpret complex genomic and clinical data sets.

Key Product Solutions:

  • GO Pathology Workbench (PWB): An end-to-end tertiary analysis solution for NGS and non-NGS data. It integrates directly with lab systems (EHR, LIMS, sequencers), automates somatic and germline variant interpretation (following AMP/ASCO/CAP and ACMG guidelines), matches patients to personalized therapy and clinical trial options, and produces fully customized reports (PDF, XML, DOCX, TXT, HL7).
  • Precision Decision: A flexible solution providing real-time decision support and informed guidance for cancer diagnosis, treatment, and management by leveraging medical data, clinical guidelines, and computational algorithms.
  • GenomAnalytics: A visualization and statistical analysis tool that utilizes POP to analyze molecular, clinical, demographic, and treatment data in one comprehensive view.
  • igniteIQ: A data enablement solution that extracts clinically-relevant, discrete data from unstructured and semi-structured documents for registries, analytics, and research.
  • GO Precision Oncology API Suite: A comprehensive API that allows clinicians, researchers, and collaborative teams to extend the platform's knowledge by integrating directly with their in-house systems and existing workflows.

Target Users and Use Cases:

The software is purpose-built for molecular pathology labs, oncologists, researchers, and healthcare institutions. Primary use cases include automating genomic reporting into the EHR, standardizing genomic variant interpretation and classification, facilitating molecular tumor board review, and improving clinical trial matching and patient treatment decisions.

RATING & STATS

Founded
2012

KEY FEATURES

  • Automated Somatic & Germline Variant Interpretation
  • Clinical Trial Matching & Decision Support
  • Custom Molecular Pathology Reporting (HL7, PDF, XML)
  • Data Extraction from Unstructured Documents (igniteIQ)
  • Genomic Data Visualization and Analytics (GenomAnalytics)
  • Molecular Tumor Board Workflow
  • Comprehensive API Suite for System Integration

PRICING

Model: enterprise
Pricing is not publicly disclosed and is structured for enterprise-level healthcare institutions and molecular laboratories. Contact the company for a demo and quote.

TECHNICAL DETAILS

Deployment: cloud, on_premise, hybrid
Platforms: web
🔌 API Available

USE CASES

Molecular Pathology Lab ReportingClinical Trial Patient Screening and EnrollmentOncology Clinical Decision SupportGenomic Data Analysis and Research

INTEGRATIONS

Electronic Health Records (EHR) via HL7Laboratory Information Management Systems (LIMS)Sequencers and Bioinformatics PipelinesIn-house Systems via API

COMPLIANCE & SECURITY

Compliance:
HIPAACAP Guidelines
Security Features:
  • 🔒Secure Platform
  • 🔒Integration with Existing Security Infrastructure
  • 🔒User Roles & Permissions

SUPPORT & IMPLEMENTATION

Support: email, phone
Implementation Time: 1-4 weeks
Target Company Size: medium, enterprise
TRAINING AVAILABLE

PROS & CONS

✓ Pros:
  • +Comprehensive, end-to-end solution for precision oncology from analysis to decision support.
  • +Deep integration capabilities with existing EHR, LIMS, and in-house systems.
  • +Automates complex variant interpretation following major guidelines (AMP/ASCO/CAP, ACMG).
  • +Highly configurable and customizable to fit unique institutional workflows and data environments.
  • +Includes both proprietary and licensed content for up-to-date knowledge base.
✗ Cons:
  • -Pricing is not transparent and likely high-cost due to enterprise focus.
  • -Steep learning curve for non-specialized users due to the complexity of the domain and features.
  • -Requires significant implementation and integration effort to connect to existing hospital/lab infrastructure.
  • -Limited public reviews available to assess user satisfaction and support quality.

ABOUT GENOMONCOLOGY