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Related Experiment Video

Updated: Oct 31, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Concept libraries for automatic electronic health record based phenotyping: A review.

Zahra A Almowil1, Shang-Ming Zhou2, Sinead Brophy1

  • 1Swansea University Medical School, Wales SA2 8PP.

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|June 30, 2021
PubMed
Summary

Electronic health record (EHR) concept libraries expedite research by providing reusable algorithms for phenotyping. Collaboration among these libraries is crucial for wider adoption and consistent data analysis.

Keywords:
concept librarieslinked Electronic health recordsphenotype algorithmsreview

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Area of Science:

  • Health Informatics
  • Biomedical Research
  • Data Science

Background:

  • Electronic health records (EHR) are vital for disease research, but creating phenotyping algorithms is time-consuming and resource-intensive.
  • Reusing existing algorithms is a solution, yet algorithm sharing is uncommon, and clinical code lists are often not published.
  • Health data portals with concept libraries aim to standardize and facilitate disease phenotyping and health studies.

Purpose of the Study:

  • To review existing health data concept libraries.
  • To examine their utilities and identify current gaps.
  • To suggest future developments for concept library enhancement.

Main Methods:

  • A five-stage framework by Arksey and O'Malley guided the literature search.
  • Research questions were defined, and relevant studies were identified and selected.
  • Data were charted, extracted, summarized, and reported.

Main Results:

  • Seven publicly accessible EHR concept libraries were identified across the UK, USA, and Canada.
  • Libraries varied in scope (general vs. specialized) and data sources but shared features like user uploads and public code access.
  • Specialized libraries differed in search capabilities but allowed concept uploads and publication tracking to assess validity.

Conclusions:

  • The seven identified concept libraries, developed independently, replicate similar concepts differently.
  • Collaboration among libraries is essential to improve user experience and promote wider adoption.
  • Sharing and reusing code lists enhance consistency and accuracy in health research definitions.