ArticleJournal of the American Medical Informatics Association : JAMIA2018
CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
177 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A foundation systematic review of natural language processing applied to gastroenterology & hepatology.BMC gastroenterology · 2025Pooled it
- Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies.Journal of biomedical semantics · 2020Pooled it
- Assessing pediatric clinician adherence to the guidelines for prevention of peanut allergy: a natural language processing study.BMC medical informatics and decision making · 2025Trial
- Pediatric Clinician Adherence to Peanut Allergy Prevention Guidelines: A Randomized Trial.Pediatrics · 2025Trial
- Development and validation of natural language processing pipelines to extract injury and surgery-related data elements from ACL reconstruction operative reports.BMC musculoskeletal disorders · 2026Article
- The word and the way: strategies for domain-specific BERT pre-training in German medical NLP.BMC medical informatics and decision making · 2026Article
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- Natural Language Processing Applied to Psychiatric Clinical Notes: Scoping Review.JMIR medical informatics · 2026Article
- OncoPT: long-context transformer models for in hospital tumor phenotype extraction from pathology reports.NPJ digital medicine · 2026Article
- Polarity-Aware Knowledge Graph Reveals Diet-Microbiome-Health Mechanisms with Relevance to Muscle, Immune and Metabolic Aging.Research square · 2026Article
- Transformer-based relation extraction and concept normalization using an annotated clinical trials corpus.Scientific data · 2026Article
- Mobility functional status ascertainment in electronic health records using large language models.Scientific reports · 2026Article
- Health inequalities in outpatient neurological conditions across a large UK urban population: a retrospective observational study using automated coding.BMJ neurology open · 2026Article
- The combined use of natural language processing and electronic health records data to identify historical tolerances of β-lactams and promote clinician confidence in future use.Health systems (Basingstoke, England) · 2026Article
- medspacyV: a graphical user interface for the open source medspaCy natural language processing package.JAMIA open · 2025Article
- Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.Scientific reports · 2025Article
- Generalizable and scalable multistage biomedical concept normalization leveraging large language models.Research synthesis methods · 2025Article
- Utilization of Computable Phenotypes in Electronic Health Record Research: A Review and Case Study in Atopic Dermatitis.The Journal of investigative dermatology · 2025Review
- Decoding Recurrence in Early-Stage and Locoregionally Advanced Non-Small Cell Lung Cancer: Insights From Electronic Health Records and Natural Language Processing.JCO clinical cancer informatics · 2025Article
- Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media.Journal of biomedical informatics · 2025Article
117 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Existing general clinical natural language processing (NLP) systems such as MetaMap and Clinical Text Analysis and Knowledge Extraction System have been successfully applied to information extraction from clinical text. However, end users often have to customize existing systems for their individual tasks, which can require substantial NLP skills. Here we present CLAMP (Clinical Language Annotation, Modeling, and Processing), a newly developed clinical NLP toolkit that provides not only state-of-the-art NLP components, but also a user-friendly graphic user interface that can help users quickly build customized NLP pipelines for their individual applications. Our evaluation shows that the CLAMP default pipeline achieved good performance on named entity recognition and concept encoding. We also demonstrate the efficiency of the CLAMP graphic user interface in building customized, high-performance NLP pipelines with 2 use cases, extracting smoking status and lab test values. CLAMP is publicly available for research use, and we believe it is a unique asset for the clinical NLP community.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.