Promoting Learning Health System Cycles by Optimizing EHR Data Clinical Concept Encoding Processes

Piper Ranallo, Bronwyn Southwell, Christopher Tignanelli, Steven G. Johnson, Richard Krueger, Tess Sevareid-Groth, Adam Carvel, Genevieve B. Melton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electronic health records (EHRs) and other real-world data (RWD) are critical to accelerating and scaling care improvement and transformation. To efficiently leverage it for secondary uses, EHR/RWD should be optimally managed and mapped to industry standard concepts (ISCs). Inherent challenges in concept encoding usually result in inefficient and costly workflows and resultant metadata representation structures outside the EHR. Using three related projects to map data to ISCs, we describe the development of standard, repeatable processes for precisely and unambiguously representing EHR data using appropriate ISCs within the EHR platform lifecycle and mappings specific to SNOMED-CT for Demographics, Specialty and Services. Mappings in these 3 areas resulted in ISC mappings of 779 data elements requiring 90 new concept requests to SNOMED-CT and 738 new ISCs mapped into the workflow within an accessible, enterprise-wide EHR resource with supporting processes.

Original languageEnglish (US)
Title of host publicationMEDINFO 2023 - The Future is Accessible
Subtitle of host publicationProceedings of the 19th World Congress on Medical and Health Informatics
EditorsJen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing
PublisherIOS Press BV
Pages68-73
Number of pages6
ISBN (Electronic)9781643684567
DOIs
StatePublished - Jan 25 2024
Event19th World Congress on Medical and Health Informatics, MedInfo 2023 - Sydney, Australia
Duration: Jul 8 2023Jul 12 2023

Publication series

NameStudies in Health Technology and Informatics
Volume310
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference19th World Congress on Medical and Health Informatics, MedInfo 2023
Country/TerritoryAustralia
CitySydney
Period7/8/237/12/23

Bibliographical note

Publisher Copyright:
© 2024 International Medical Informatics Association (IMIA) and IOS Press.

Keywords

  • OMOP
  • process improvement
  • Semantic interoperability
  • terminology

PubMed: MeSH publication types

  • Journal Article

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