IMO Precision Normalize

Deliver accurate, robust clinical patient data and insights.

IMO Precision Normalize standardizes and enriches disparate clinical data by comprehensively mapping it to standard codes. 

EHR integration
Clinical interface terminology

IMO Precision Normalize efficiently standardizes inconsistent diagnosis, procedure, medication, and lab data from diverse systems into common, clinically validated terminology that is mapped to standard codes behind the scenes.

Meaningful insights start with quality data

Enrich clinical data

  • Comprehensively maps data to appropriate standard codes
  • Adds metadata to enable sophisticated analytics
  • Built on a dictionary of 5 million terms that considers millions of misspellings and abbreviations

Accelerate data readiness

  • Processes up to 300,000 terms per minute
  • Accurately matches the majority of terms with a high degree of confidence to minimize manual review

Power accurate insights

  • Ensures data extracted from multiple systems is consistent and complete
  • Foundational terminology is curated by clinical SMEs for increased accuracy
  • Content is updated 6x a year to be compliant with health system and regulatory requirements
CPT terms
IMO Precision Normalize addresses the key challenges to enabling actionable analytics: high variability in data quality, consistency, and completeness.

IMO Precision Normalize standardizes inconsistent patient data from various sources to common terminology and codes.

IMO Precision Normalize

Still wondering how IMO Precision Normalize can help you?

We have an amazing team ready and waiting to answer your questions and support you along the way.

Medical problem list

Latest Ideas

The new normal(ize): A primer on patient data standardization

You don’t have to work for a medical coding company to know that quality data is important – especially in healthcare. But patient information comes from a variety of sources, and it’s rarely all in the same format, or documented using the same clinical terminology. So, what does this mean? We’re glad you asked.

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