Data Normalization Use Cases and Terminology Domain Challenges

The Rise of Healthcare Information Technology


The rapid evolution of health IT systems has resulted in significant interoperability problems, which stem from the presence of numerous local and standardized clinical terminologies.

A key ingredient for a data normalization solution should include mapping algorithms for labs, drugs, and problems and diagnoses that can translate disparate data to support the needs of data warehousing, ACOs, HIEs, analytics, and population health initiatives.

This white paper covers:

  • Common use cases that require data normalization
  • Challenging terminology domains including labs, drugs, and problems and diagnoses
  • Key capabilities and benefits of a data normalization solution

To download the white paper, please fill out the form to the right.

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