Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach

Published in AMIA Annual Symposium Proceedings, 2024

Recommended citation: Xu Zuo, Yujia Zhou, Jon Duke, George Hripcsak, Nigam Shah, Juan M Banda, Ruth Reeves, Timothy Miller, Lemuel R Waitman, Karthik Natarajan, and Hua Xu. 2024. Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach. In AMIA Annual Symposium Proceedings. https://pmc.ncbi.nlm.nih.gov/articles/PMC10785935/

Abstract:

The types of clinical notes in electronic health records (EHRs) are diverse and it would be great to standardize them to ensure unified data retrieval, exchange, and integration. The LOINC Document Ontology (DO) is a subset of LOINC that is created specifically for naming and describing clinical documents. Despite the efforts of promoting and improving this ontology, how to efficiently deploy it in real-world clinical settings has yet to be explored. In this study we evaluated the utility of LOINC DO by mapping clinical note titles collected from five institutions to the LOINC DO and classifying the mapping into three classes based on semantic similarity between note titles and LOINC DO codes. Additionally, we developed a standardization pipeline that automatically maps clinical note titles from multiple sites to suitable LOINC DO codes, without accessing the content of clinical notes. The pipeline can be initialized with …