Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review.

ABSTRACT:

Background

Electronic health records (EHRs) commonly contain patient addresses that provide valuable data for geocoding and spatial analysis, enabling more comprehensive descriptions of individual patients for clinical purposes. Despite the widespread use of EHRs in clinical decision support and interventions, no systematic review has examined the extent to which spatial analysis is used to characterize patient phenotypes.

Objective

This study reviews advanced spatial analyses that used individual-level health data from EHRs within the United States to characterize patient phenotypes.

Methods

We systematically evaluated English-language, peer-reviewed studies from the PubMed/MEDLINE, Scopus, Web of Science, and Google Scholar databases from inception to August 20, 202

SUBMITTER: Mollalo A 

PROVIDER: S-EPMC11522649 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature