True Semantic Normalization

BEYOND TRADITIONAL TERMINOLOGY MAPPING

The nuts and bolts of your ACO, connected health system, and HIE is the clinical data itself. It informs doctors, feeds Clinical Decision Support rules, and is used for MACRA and other quality reporting initiatives. With so much data flowing from different sources in today's connected health systems, true semantic normalization from Elimu Informatics is more important than ever. Without it critical data could be dropped altogether, or worse, put in the wrong place leading to an incorrect decision.

angle-down-regular.png
 

Want to know more?

Fill out this form below or call us at 510-439-4116

Name *
Name

Want to Know More?

Fill out this form below or call us at 888-888-8888

Name *
Name
iStock-932038072.jpg
 

Components of Semantic Normalization

The term, semantic normalization, is casually thrown around, but few actually understand it or are doing it correctly. Many in the industry equate Terminology Mapping with Semantic Normalization.  While Terminology Mapping is a piece of a complete Semantic Normalization solution, it's only one component. A true Semantic Normalization solution has the following components:

  • Clinical Information Model to define relationships between different core clinical concepts

  • Ontology/Reference Terminology to describe core clinical concepts in a standardized representation that supports classification and aggregation

  • Inferred Knowledge to enable Analytics and Clinical Decision Support

  • Reconciliation to resolve patient clinical state from multiple data sources

Wasn't this already done?

Yes. And no. We find that the average customer has between 15 - 20% of their clinical data mapped incorrectly. The culprit is often that only one component of Semantic Normalization - Ontology/Reference Terminology, was done without accounting for the other components. This leads to issues such as:

  • Incorrect categorization of data such as confirmed problem vs. ruled out problem vs. family history of problem

  • Medications getting mapped to entirely different drugs due to tricky NDC formats

  • Manually entered data such as problems or medication instructions getting "dropped" instead of coded

  • Clinical Decision Support rules behaving incorrectly

  • Inaccurate Quality reporting

 
iStock-509434698.jpg
iStock-599780174.jpg
 

The Elimu difference

We pioneered and perfected the components and methodologies that make up true Semantic Normalization for over 20 years

  • Our professional services and tools adjust to your users and workflows

  • Our proprietary software and APIs (that will be publicly available soon) streamline the process

  • We let you keep manually entered data by codifying it and allowing users to continue their use of it

  • We have the best clinical informaticists in the business

When it’s done right

  • Improves Clinical Decision Support

  • Leads to better quality reporting and greater reimbursements

  • Lowers patient safety risk

  • Enhances communication, and collaboration

  • Opens the door for greater analytics and innovation

 
iStock-825489696.jpg
 

Our Clients & Partners

 

Let's have a conversation

Get in Touch