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Standardizing electronic health records (EHR) data with industry standard concepts (ISCs) improves care. This study developed repeatable processes for precise EHR data mapping, enhancing data usability for secondary purposes.

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Area of Science:

  • Health Informatics
  • Data Management
  • Clinical Data Standards

Background:

  • Electronic health records (EHRs) and real-world data (RWD) are vital for healthcare improvement.
  • Efficient secondary use of EHR/RWD requires optimal management and mapping to industry standard concepts (ISCs).
  • Current concept encoding challenges lead to inefficient workflows and external metadata structures.

Purpose of the Study:

  • To develop standard, repeatable processes for mapping EHR data to ISCs.
  • To ensure precise and unambiguous representation of EHR data within the EHR platform lifecycle.
  • To create SNOMED-CT specific mappings for Demographics, Specialty, and Services.

Main Methods:

  • Utilized three related projects focused on mapping EHR data to ISCs.
  • Developed and implemented standard processes for data mapping within the EHR platform.
  • Focused on creating SNOMED-CT mappings for specific data domains: Demographics, Specialty, and Services.

Main Results:

  • Successfully mapped 779 data elements to ISCs.
  • Generated 90 new concept requests for SNOMED-CT.
  • Integrated 738 new ISCs into the workflow, creating an accessible enterprise-wide EHR resource.

Conclusions:

  • Standardized, repeatable processes enable precise EHR data mapping to ISCs.
  • This approach enhances the usability of EHR/RWD for secondary purposes.
  • The developed resource and processes support enterprise-wide data standardization and accessibility.