Article

Medication information extraction using local large language models

2025-03-31

Abstract excerpt

Medication information is crucial for clinical routine and research. However, a vast amount is stored in unstructured text, such as doctoral letters, requiring manual extraction -- a resource-intensive, error-prone task. Automating this process comes with significant constraints in a clinical setup, including the demand for clinical expertise, limited time-resources, restricted IT infrastructure, and the demand fo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9c0929d2-f8e9-5d26-accd-8d47767190c0
DOI: 10.1101/2025.03.28.25324847

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Medication information extraction using local large language modelsDOI 10.1101/2025.03.28.25324847Read

Schema-Grounded Multitask Instruction Fine-tuning for Joint Biomedical Named Entity Recognition and Relation Extraction in PharmacovigilanceSemantic proximity Read

Relationship Extraction for Adverse Drug Events in Clinical Notes Using Large Language ModelsSemantic proximity Read

For clinical data extraction, QLoRA attains accuracy close to LoRA while requiring lower compute resourcesSemantic proximity Read

Large-Scale Psychiatric Concept Extraction from Electronic Health Records: A Comparative Study of Encoder-Based Language ModelsSemantic proximity Read

Rx-LLM: a benchmarking suite to evaluate safe large language model performance for medication-related tasksSemantic proximity Read

Scalable information extraction from free text electronic health records using large language modelsSemantic proximity Read

Scalable information extraction from free text electronic health records using large language modelsSemantic proximity Read

medExtractR: A medication extraction algorithm for electronic health records using the R programming languageSemantic proximity Read

Zero-shot extraction of seizure outcomes from clinical notes using generative pretrained transformersSemantic proximity Read

SPELL: A Scalable NLP Method Using Regular Expressions and Large Language Models for Clinical Information ExtractionSemantic proximity Read

Synthetic Data Distillation Enables the Extraction of Clinical Information at ScaleSemantic proximity Read

Longitudinal information extraction from clinical notes in rare diseases: an efficient approach with small language modelsSemantic proximity Read