EHRchitect: An open-source software tool for medical event sequences data extraction from Electronic Health Records.

ABSTRACT:

Background

Electronic Health Records (EHR) analysis is pivotal in advancing medical research. Numerous real-world EHR data providers offer data access through exported datasets. While enabling profound research possibilities, exported EHR data requires quality control and restructuring for meaningful analysis. Challenges arise in medical events (e.g., diagnoses or procedures) sequence analysis, which provides critical insights into conditions, treatments, and outcomes progression. Identifying causal relationships, patterns, and trends requires a more complex approach to data mining and preparation.

Methods

This paper introduces EHRchitect - an application written in Python that addresses the quality control challenges by automating dataset transformation, facilitating the cr

SUBMITTER: Botnar K 

PROVIDER: S-EPMC12086738 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature