Article

Automated Antibiogram Extraction from Unstructured Microbiology Reports: A Comparative Performance and Efficiency Analysis of Domain-Specific Named Entity Recognition (NER) Pipelines

2025-03-11

Abstract excerpt

Antibiograms are essential tools in antimicrobial stewardship programs (ASPs), guiding empirical antibiotic therapy and tracking antimicrobial resistance (AMR) trends. However, the manual compilation of antibiograms from unstructured microbiology reports is labor-intensive and prone to delays. Here, we present a comparative study of three Natural Language Processing (NLP) approaches for automating data extraction...

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Literature Corpus work: 79a4f259-3d44-5639-ab02-d7d24e7a87a4
DOI: 10.1101/2025.03.10.25323640

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