CognomiQ

CognomiQ: The Foundation Healthcare Is Missing

CognomiQ replaces fragmented, tool-heavy environments with a unified, real-time data operating system - purpose-built for the complexity of healthcare. The result: clean, trusted, accessible data that actually works at the speed clinicians, operators, and AI require.

Healthcare runs on some of the most complex data environments in any industry—and it shows. Critical decisions depend on data scattered across EHRs, HIEs, analytic tools, data warehouses and data lakes, research databases and registries, as well as imaging, pathology, and genomics systems. 

The result isn’t just inconvenience, it’s systemic failure:

• Decisions take too long — reporting cycles stretch from weeks to months making it no longer actionable
• Costs mushroom — redundant tools and infrastructure waste millions annually taking those dollars away from the core mission
• Data is unusable — siloed, inconsistent, and unreliable 
• IT is overwhelmed — backlogs stall progress and innovation 
• AI fails to scale — because the data underneath it is broken

And instead of you and your team making the difference you envisioned, you miss opportunities.  And there is no sense of a strong difference made or quality of life function.

The CognomiQ Data Operating System

CognomiQ sits above your existing systems and fixes the problem at its source.  A fully mature, production-proven Data Operating System, CognomiQ integrates, validates, and orchestrates data across the enterprise - turning fragmented inputs into real-time, actionable intelligence.

Content Architecture

• Data Ingestion Layer 
• Multimodal Processing Engine 
• Validation Engine 
• Semantic Layer 
• Application Layer 

Proven, Not Promised

Most platforms talk about potential. CognomiQ delivers results.

At the University of Rochester – Wilmot Cancer Center, we have been in production for over four years. In that time, we have seen:

• $6.5M+ in annual savings 
• 20+ SaaS tools eliminated  
• Reporting time reduced from 3 months to 3.5 hours 
• IT resolution cycles cut from weeks to <24 hours 
• $2–4M annual clinical trial savings 
• 40+ no-code applications deployed - examples include:
  • Clinical workflow augmentation to the EHR Cohort builder
  • Precision medicine genomic patient views
  • Clinical trial matching and likelihood-of-match scoring – locally and at national level
  • Patient longitudinal journey
  • Medication complications (arranged comparatively showing sentinel events as well as patient-reported feedback) 
  • Geospatial visualizations of disease states against population characteristics and/or environmental contamination
• Instrumentation in University of Rochester – Wilmot Cancer Center earning NCI designation to the tune of $35M in federal funding

Fix your foundation. Reap the return.

Want to Learn More? Have Questions? Let’s Meet.  

SCHEDULE HERE TO MEET WITH US.

• Bonny Roberts, MHA, VP Customer  

  • Contact:  [email protected]
• Dan Barrett, VP Sales

  • Contact: [email protected]