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

EHRchitect streamlines the processing of large EHR datasets for research purposes. It facilitates extracting sequential event-based data, offering a highly flexible framework for configuring event and timeline parameters. The tool delivers temporal characteristics, patient demographics, and event metadata to support comprehensive analysis. The developed tool significantly reduces the time required for dataset acquisition and preparation by automating data quality control and simplifying event extraction.

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Publication Details

Journal
Journal of Clinical and Translational Science
Published
2025-01-01
DOI
https://doi.org/10.1017/cts.2025.55
Citations
3
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
7.44
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article

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

George Golovko, Kamil Khanipov, Kostiantyn Botnar, Madison G Farnsworth et al.
3 citations
Journal of Clinical and Translational Science
Machine Learning in Healthcare
7.44
article

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

George Golovko, Kamil Khanipov, Kostiantyn Botnar, Madison G Farnsworth, Justin T Nguen
article en
3 citations

Abstract

EHRchitect streamlines the processing of large EHR datasets for research purposes. It facilitates extracting sequential event-based data, offering a highly flexible framework for configuring event and timeline parameters. The tool delivers temporal characteristics, patient demographics, and event metadata to support comprehensive analysis. The developed tool significantly reduces the time required for dataset acquisition and preparation by automating data quality control and simplifying event extraction.

Journal of Clinical and Translational ScienceVol. 9(1)
The University of Texas Medical Branch at Galveston (US)
Openalex Percentile: Top 4%
Machine Learning in Healthcare
7.44
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