National Drug File - Reference Terminology API

Metadata Updated: November 10, 2020

The National Drug File - Reference Terminology (NDF-RT) is produced by the U.S. Department of Veterans Affairs, Veterans Health Administration (VHA). NDF-RT is an extension of the VHA National Drug File (NDF). It organizes the drug list into a formal representation. NDF-RT Reference Terminology API provides clinical information about medications, including therapeutic intent, mechanism of action, physiologic effect and drug-drug interactions. Two NDF-RT APIs (SOAP/WSDL and RESTful) are available for retrieving NDF-RT data.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020
Publisher National Library of Medicine (NLM)
Unique Identifier Unknown
Maintainer
Identifier e270b199-ee50-46c3-bd68-31e4d89ace95
Data First Published 2012-08-22
Data Last Modified 2020-02-24
Public Access Level public
Bureau Code 009:25
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Data Dictionary http://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/NDFRT/index.html
Homepage URL https://healthdata.gov/dataset/national-drug-file-reference-terminology-api
Program Code 009:002
Source Datajson Identifier True
Source Hash b7c95398651bfb14eeb70e9dd9ac793041d30f0b
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.