@inproceedings{097ab455cfaa452e918b02b016a17790,
title = "Using clinical entity recognition for curating an interface terminology to aid fast skimming of EHRs",
abstract = "Highlighting of Electronic Health Records (EHRs) involves marking essential content of EHR notes, corresponding to concepts of a clinical terminology. However, employing the best clinical terminology (SNOMED CT) for highlighting EHRs, captures only a portion of their crucial content. In this paper, we describe the curation of a Cardiology Interface Terminology (CIT) dedicated to the application of highlighting EHRs of cardiology patients. We utilize a Clinical-Named Entity Recognition (Clinical NER) approach for extracting phrases, of higher granularity than SNOMED CT concepts, from EHRs, for enriching CIT. For this purpose, we train a neural network model with BIOE-tagged (Beginning, Inside, End, and Outside) cardiology entities. Transfer Learning can be used to facilitate the curation of an interface terminology for highlighting EHRs for other specialties e.g. Nephrology. Large-scale highlighting enables overworked physicians and other healthcare providers to fast skim the dense volume of EHRs they regularly read. Secondary research and EHRs interoperability are other applications that can be supported by highlighting.",
keywords = "Bio-ClinicalBERT, BIOE tagging, Cardiology clinical notes, Clinical NER, EHR notes, Fast Skimming EHRs, Highlighting, Interface Terminology, Neural Networks",
author = "Kollapally, {Navya Martin} and Dehkordi, {Mahshad Koohi H.} and Yehoshua Perl and James Geller and Deek, {Fadi P.} and Hao Liu and Keloth, {Vipina K.} and Gai Elhanan and Einstein, {Andrew J.} and Shuxin Zhou",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024 ; Conference date: 03-12-2024 Through 06-12-2024",
year = "2024",
doi = "10.1109/BIBM62325.2024.10822845",
language = "English (US)",
series = "Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6427--6434",
editor = "Mario Cannataro and Huiru Zheng and Lin Gao and Jianlin Cheng and {de Miranda}, {Joao Luis} and Ester Zumpano and Xiaohua Hu and Young-Rae Cho and Taesung Park",
booktitle = "Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024",
address = "United States",
}