Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining

Mahshad Koohi H. Dehkordi, Navya Martin Kollapally, Yehoshua Perl, James Geller, Fadi Deek, Hao Liu, Vipina Keloth, Gai Elhanan, Andrew Einstein

2024

Abstract

Clinical notes in Electronic Health Records (EHRs) contain large amounts of nuanced information. Healthcare professionals, e.g., clinicians, routinely review numerous EHR notes, further burdening their busy schedules. To capture the essential content of a note, they often quickly review its content, which can contribute to missing critical clinical information. Highlighting important content of EHRs enable clinicians to fast skim by reading only the highlighted words. Furthermore, effective highlighting of EHRs will support new research and interoperability. In this paper, we design a Cardiology Interface Terminology (CIT) dedicated for the application of highlighting cardiology EHRs to support their fast skimming. Once successful, Transfer Learning can be used to design an interface terminology for other specialties. In EHRs, we observe phrases of fine granularity containing SNOMED CT concepts. In our previous work, we extract such phrases from EHR notes to be considered as CIT concepts. This early CIT serves as training data for Machine Learning (ML) techniques, further enriching CIT and improving EHR highlighting. We describe the methodology and results of curating CIT with ML techniques. Furthermore, we introduce the coverage and breadth metrics for measuring the efficacy of highlighting EHRs, and discuss future improvements, enhancing the coverage of highlighted important content.

Paper Citation

in Harvard Style

Koohi H. Dehkordi M., Martin Kollapally N., Perl Y., Geller J., Deek F., Liu H., Keloth V., Elhanan G. and Einstein A. (2024). Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 498-505. DOI: 10.5220/0012391600003657

in Bibtex Style

@conference{healthinf24,
author={Mahshad Koohi H. Dehkordi and Navya Martin Kollapally and Yehoshua Perl and James Geller and Fadi Deek and Hao Liu and Vipina Keloth and Gai Elhanan and Andrew Einstein},
title={Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={498-505},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012391600003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining
SN - 978-989-758-688-0
AU - Koohi H. Dehkordi M.
AU - Martin Kollapally N.
AU - Perl Y.
AU - Geller J.
AU - Deek F.
AU - Liu H.
AU - Keloth V.
AU - Elhanan G.
AU - Einstein A.
PY - 2024
SP - 498
EP - 505
DO - 10.5220/0012391600003657
PB - SciTePress