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.
Authors
- George Golovko (ORCID: https://orcid.org/0000-0003-4609-2767)
- Kamil Khanipov (ORCID: https://orcid.org/0000-0002-3881-737X)
- Kostiantyn Botnar
- Madison G Farnsworth
- Justin T Nguen
Institutions
- The University of Texas Medical Branch at Galveston (US)
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