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A Systematic Review to Summarize and Critically Appraise Existing Phenotype Libraries Using Electronic Health

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This review highlights significant variation in electronic health record phenotype library construction and validation. Enhancing phenotype transparency and computability improves data reuse across systems.

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Area of Science:

  • Health Informatics
  • Pharmacoepidemiology
  • Population Health

Background:

  • Electronic health records (EHRs) are crucial for population health studies.
  • Phenotypes operationalize study variables from EHR data.
  • Existing phenotype libraries show considerable diversity.

Conclusions:

  • Significant variations exist in phenotype library construction and validation across EHR research settings.
  • Increased transparency and computability of phenotypes enhance portability.
  • Streamlining phenotype reuse is essential for efficient EHR-based research.