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Electronic Health Records (EHRs)

Definition
AI-generated

Electronic health records (EHRs) are longitudinal, encounter-based digital clinical documentation—diagnoses, procedures, medications, labs, notes—maintained for care and often reused (under governance) for cohort research, phenotyping, and trials.

Topics
Cohorts and databases
Synonyms
Electronic health record (singular) EHR / EHRs
Related
All of Us Biobank Cohort

Why it matters in GWAS

EHR-linked biobanks enable very large phenome-wide analyses (PheWAS), but phenotypes inherit coding bias, missingness, and version differences (ICD revisions); reproducible case definitions and PheCode (or similar) mappings are central to valid genetic discovery.

Example usage

"We defined cases using two ICD-10 codes separated in time within linked Electronic Health Records (EHRs)."

All of Us Biobank Cohort International Classification of Diseases Code (ICD) PheCode Phenome-Wide Association Study (PheWAS) Phenomics
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Jensen PB, Jensen LJ, Brunak S. (2012). Mining electronic health records: towards better research applications and clinical care. Nat Rev Genet.
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