Automated Logical Observation Identifiers Names and Codes mapping with biomedical natural language processing models: enabling scalable health information exchange via the Open Concept Lab
ScispaCy-LOINC offers a flexible approach to LOINC mapping and demonstrates complementary strengths relative to existing OCL algorithms. These findings support the development of an integrated framework that combines algorithmic strategies to improve robustness across diverse clinical datasets.
Authors
- Parvati Naliyatthaliyazchayil
- Andrew S. Kanter (ORCID: https://orcid.org/0000-0002-4019-7894)
- Venkat Ramana Sangam
- Joseph Amlung
- Jonathan Payne
Institutions
- Regenstrief Institute (US)
- University of Concepción (CL)
- Indiana University – Purdue University Indianapolis (US)
- Columbia University (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2026-01-14
- DOI
- https://doi.org/10.1093/jamia/ocag010
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00