RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, Gold Standard, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary. Technical documentation at http://www.nlm.nih.gov/research/umls/rxnorm/docs/index.html

RXNorm is a normalized naming system for generic and branded drugs developed by the U.S. National Library of Medicine to support semantic interoperbility between drug terminologies and pharmacy systems

The RxClass Browser is a web application for exploring and navigating through the class hierarchies to find the RxNorm drug members associated with each class. RxClass links drug classes of several drug sources including ATC, MeSH, NDF-RT and FDA/SPL to their RxNorm drug members (ingredients, precise ingredients and multiple ingredients). RxClass allows users to search by class name or identifier to find the RxNorm drug members or, conversely, search by RxNorm drug name or identifier to find the classes that the RxNorm drug is a member of.

RxNav-in-a-Box provides users with a locally-installable RxNav (https://rxnav.nlm.nih.gov/RxNavDoc.html) and RESTful companion APIs, including RxNorm, RxTerms, RxClass, RxCUI history, and drug-drug interactions.

MetaMap is a highly configurable application developed by the Lister Hill National Center for Biomedical Communications at the National Library of Medicine (NLM) to map biomedical text to the UMLS Metathesaurus or, equivalently, to identify Metathesaurus concepts referred to in English text. MetaMap employs a knowledge-intensive approach, natural-language processing (NLP), and computational-linguistic techniques, and is used worldwide in industry and academia. At NLM, MetaMap is one of the foundations of NLM's Medical Text Indexer (MTI), which is applied to both semiautomatic and fully automatic indexing of biomedical literature. Technical documentation at http://metamap.nlm.nih.gov/#Downloads

,RadLex is a controlled terminology for radiology and serves as a single unified source of radiology terms for radiology practice, education, and research. RadLex is a comprehensive lexicon for standardized indexing and retrieval of radiology information resources. With more than 30,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT, LOINC, and DICOM. As images, image reports, and medical records continue to move online RadLex meets the need of physicians to organize and retrieve image data using a common set of terms. RadReport is a radiology reporting initiative that is a part of RadLex. RadReport aims to improve reporting practices by creating a library of clear and consistent report templates. Report templates and information about RadReport is available at the link in Resource 2.,

License for the Drug Abuse Warning Network\'s Drug Reference Vocabulary (DRV), a classification system for the substances collected by DAWN that is based on the Multum Lexicon, © 2012 Lexi-Comp, Inc. and/or Cerner Multum, Inc. to meet DAWN\'s unique requirements. The Lexicon classification was modified to meet DAWN\'s unique requirements.

An application for navigating RxNorm drugs. This applications displays relations among drug entities in RxNorm and provides additional information about RxNorm drugs, including drug classes, pill images and drug-drug interactions. RxNav is supported by several drug APIs.

The SKR Project was initiated at NLM in order to develop programs to provide usable semantic representation of biomedical free text by building on resources currently available at the library. The SKR project is concerned with reliable and effective management of the information encoded in natural language texts. The project develops programs that provide usable semantic representation of biomedical text by building on resources currently available at the Library, especially the UMLS knowledge sources and the natural language processing tools provided by the SPECIALIST system. This Java-based API to the Semantic Knowledge Representation (SKR) Scheduler facility was created to provide users with the ability to programmatically submit jobs to the Scheduler Batch and Interactive facilities instead of using the Web-based interface.

The Drug Reference Vocabulary (DRV) is a classification system for all the substances collected by DAWN (drug-related emergency department visits and drug-related deaths investigated by partcipating medical examiners/coroners). This Excel file includes brand, drug, and category names and codes for illicit drugs, prescription and over-the-counter pharmaceuticals, inhalants and alcohol. It is derived from the Multum Lexicon, © 2012 Lexi-Comp, Inc. and/or Cerner Multum, Inc. The classification was modified to meet DAWN\'s unique requirements.The Multum Licensing Agreement governing use of the Lexicon can be found on the SAMHSA site athttps://www.samhsa.gov/data/sites/default/files/MultumLicenseAgreement/….