Clinical Table Search Service (formerly "lforms-service") is a web service which software programs can use for querying clinical data tables. The API for each table is designed to work with our form field autocompletion package, but can be used by other programs as well. The tables may also be accessed through FHIR APIs. The FAQ page (https://clinicaltables.nlm.nih.gov/faq.html) has further details on terms of service, etc
I-MAGIC is an interactive tool to demonstrate how the SNOMED CT to ICD-10-CM map (https://www.nlm.nih.gov/research/umls/mapping_projects/snomedct_to_icd10cm.html) can be used to generate ICD-10-CM codes from clinical problems coded in SNOMED CT. It simulates a problem list entry interface in which the user searches for problem terms which are mapped to SNOMED CT codes in the back end. The SNOMED CT codes are then used to derive ICD-10-CM codes using the Map.
MAGPIE is an interactive tool to help users (e.g., professional coders, researchers, clinicians) find SNOMED CT and ICD-10-PCS codes for medical procedures and interventions. MAGPIE is an NLM research tool (it has not been tested in a production environment), and is developed primarily for the 2018 version of ICD-10-PCS. MAGPIE combines lexical and map-assisted searching strategies to look for SNOMED CT, ICD-9-CM, and ICD-10-PCS codes sequentially.
Medical Subject Headings (MeSH) is a hierarchically-organized terminology for indexing and cataloging of biomedical information. It is used for the indexing of PubMed and other NLM databases. Please see the Terms and Conditions for more information regarding the use and re-use of MeSH. NLM produces Medical Subject Headings XML, ASCII, MARC 21 and RDF formats.
Updates to the data files are made according to the following schedule:
A system for producing indexing recommendations to assist in the indexing process at NLM. Currently provides indexing recommendations to more than 100 journals based on the NLM Medical Subject Headings (MeSH) vocabulary.
MTI is the main product of the Indexing Initiative project and has been providing indexing recommendations based on the Medical Subject Headings (MeSH®) vocabulary since 2002. In 2011, NLM expanded MTI's role by designating it as the first-line indexer (MTIFL) for a few journals; today the MTIFL workflow includes over 350 journals and continues to increase. The close collaboration of the NLM Index Section, Lister Hill National Center for Biomedical Communications, and Office of Computer & Communications Systems continues to expand and refine the ability of MTI to provide assistance to the indexers.
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.