MeSH on Demand identifies MeSH Terms in your text using the NLM Medical Text Indexer (MTI) program. After processing, MeSH on Demand returns a list of MeSH Terms relevant to your text as well as a list of related articles from PubMed.
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
The NIH Common Data Elements (CDE) Repository has been designed to provide access to structured human and machine-readable definitions of data elements that have been recommended or required by NIH Institutes and Centers and other organizations for use in research and for other purposes. Visit the NIH CDE Resource Portal for contextual information about the repository.
A nursing terminologies resource for systems development. Describes the role of SNOMED CT and Laboratory Observation Identifiers Names and Codes (LOINC) in implementing Meaningful Use in the U.S., specifically for the nursing and care domain.
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.
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.
RxTerms is a drug interface terminology derived from RxNorm for prescription writing or medication history recording (e.g. in e-prescribing systems, PHRs). RxTerms is derived only from the non-proprietary content of RxNorm, which is developed and maintained by the U.S. National Library of Medicine. No fee or license is required to use the RxTerms data. Technical documentation at https://wwwcf.nlm.nih.gov/umlslicense/rxtermApp/rxTermFileStructure.cfm
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.
SNOMED CT is one of a suite of designated standards for use in U.S. Federal Government systems for the electronic exchange of clinical health information and is also a required standard in interoperability specifications of the U.S. Healthcare Information Technology Standards Panel.