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September 14, 2025

Identifying and Characterising a Chronic Kidney Disease Electronic-Phenotype Using Electronic Health Record-Derived Data: A Narrative Review of Strategies and Applications.

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Authors

CSChristopher Noel SparksThe Royal Melbourne HospitalASAdam SteinbergThe Royal Melbourne HospitalNTNigel D. ToussaintThe Royal Melbourne Hospital

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Implication

Narrative review identifies strategies for creating a chronic kidney disease e-phenotype using electronic health record data, highlighting implications for clinical management and public health.

Key Points

  • Development of a chronic kidney disease e-phenotype potentially improves management through data-driven strategies.
  • Key metrics include ICD codes, estimated glomerular filtration rate, and proteinuria to ensure reliable phenotyping.
  • Variability in algorithm performance indicates a need for continual evaluation and refinement of chronic kidney disease detection methods.
  • Integration with clinical decision support systems could enhance chronic kidney disease management and recruitment in clinical trials.

Cite This Study

Sparks et al. (2025) studied this question.

synapsesocial.com/papers/68d42047713b0b5dfea68b34https://doi.org/10.1111/nep.70118
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