ArticleJournal of the American Medical Informatics Association : JAMIA
Extracting Rx information from clinical narrative.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.Journal of biomedical informatics · 2017Pooled it
- Clinical concept extraction: A methodology review.Journal of biomedical informatics · 2020Review
- Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- An annotation and modeling schema for prescription regimens.Journal of biomedical semantics · 2019Article
- Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Applied clinical informatics · 2017Article
- Design of an extensive information representation scheme for clinical narratives.Journal of biomedical semantics · 2017Article
- Disorder recognition in clinical texts using multi-label structured SVM.BMC bioinformatics · 2017Article
- Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.Journal of biomedical informatics · 2015Article
- NCBI disease corpus: a resource for disease name recognition and concept normalization.Journal of biomedical informatics · 2014Article
- Automating annotation of information-giving for analysis of clinical conversation.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- tmBioC: improving interoperability of text-mining tools with BioC.Database : the journal of biological databases and curation · 2014Article
- Using nanoinformatics methods for automatically identifying relevant nanotoxicology entities from the literature.BioMed research international · 2013Article
- Clinical research informatics: a conceptual perspective.Journal of the American Medical Informatics Association : JAMIA · 2012Article
- A cascade of classifiers for extracting medication information from discharge summaries.Journal of biomedical semantics · 2011Article
- Improving the validity of determining medication adherence from electronic health record medications orders.Journal of the American Medical Informatics Association : JAMIAArticle
- MedXN: an open source medication extraction and normalization tool for clinical text.Journal of the American Medical Informatics Association : JAMIAArticle
- A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectiveThe authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of annotated clinical notes, and start developing methods for ontology-based reasoning using structured information generated from the unstructured clinical narrative.
designExtraction of salient features of medication orders from the text of de-identified hospital discharge summaries was addressed with a knowledge-based approach using simple rules and lookup lists. The entity recognition tool, MetaMap, was combined with dose, frequency, and duration modules specifically developed for the Challenge as well as a prototype module for reason identification. MEASUREMENTS: Evaluation metrics and corresponding results were provided by the Challenge organizers.
resultsThe results indicate that robust rule-based tools achieve satisfactory results in extraction of simple elements of medication orders, but more sophisticated methods are needed for identification of reasons for the orders and durations. LIMITATIONS: Owing to the time constraints and nature of the Challenge, some obvious follow-on analysis has not been completed yet.
conclusionsThe authors plan to integrate the new modules with MetaMap to enhance its accuracy. This integration effort will provide guidance in retargeting existing tools for better processing of clinical text.
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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.