EHRLink
EHRLink is a drug-indication evidence source derived from a study in which clinicians linked prescribed medications to clinical problems in an electronic health record workflow; PharmacotherapyDB later processed these relationships for indication catalog construction.
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[{"category": "Product", "description": "PharmacotherapyDB processing workspace for EHRLink medication-problem association data, including notebooks for converting, mapping, and preparing EHRLink-derived indications.", "id": "ehrlink.pharmacotherapydb-processing", "name": "EHRLink PharmacotherapyDB Processing Files", "original_source": [{"relation_type": "prov:hadPrimarySource", "source": "ehrlink"}], "product_url": "https://github.com/dhimmel/indications/tree/gh-pages/ehrlink", "repository": "https://github.com/dhimmel/indications", "secondary_source": [{"relation_type": "prov:wasDerivedFrom", "source": "pharmacotherapydb"}]}, {"category": "DocumentationProduct", "description": "Publication describing the crowdsourcing methodology used to identify relationships between clinical problems and medications in EHRLink.", "format": "http", "id": "ehrlink.publication", "name": "EHRLink Methodology Publication", "original_source": [{"relation_type": "prov:hadPrimarySource", "source": "ehrlink"}], "product_url": "https://doi.org/10.1136/amiajnl-2012-000852", "warnings": []}, {"category": "Product", "description": "Curated TSV catalog of drug-disease indications classified as disease-modifying, symptomatic, or non-indications", "format": "tsv", "id": "pharmacotherapydb.indications", "name": "PharmacotherapyDB Indications TSV", "original_source": [{"relation_type": "prov:hadPrimarySource", "source": "pharmacotherapydb"}], "product_file_size": 76754, "product_url": "https://raw.githubusercontent.com/dhimmel/indications/gh-pages/catalog/indications.tsv", "secondary_source": [{"relation_type": "prov:used", "source": "doid"}, {"relation_type": "prov:used", "source": "drugbank"}, {"relation_type": "prov:wasInformedBy", "source": "labeledin"}, {"relation_type": "prov:wasInformedBy", "source": "medi"}, {"relation_type": "prov:wasInformedBy", "source": "ehrlink"}, {"relation_type": "prov:wasInformedBy", "source": "predict"}]}]
{"activity_status": "inactive", "category": "DataSource", "creation_date": "2026-06-02T00:00:00Z", "description": "EHRLink is a drug-indication evidence source derived from a study in which clinicians linked prescribed medications to clinical problems in an electronic health record workflow; PharmacotherapyDB later processed these relationships for indication catalog construction.", "domains": ["clinical", "biomedical", "pharmacology"], "homepage_url": "https://github.com/dhimmel/indications/tree/gh-pages/ehrlink", "id": "ehrlink", "last_modified_date": "2026-06-18T00:00:00Z", "layout": "resource_detail", "name": "EHRLink", "products": [{"category": "Product", "description": "PharmacotherapyDB processing workspace for EHRLink medication-problem association data, including notebooks for converting, mapping, and preparing EHRLink-derived indications.", "id": "ehrlink.pharmacotherapydb-processing", "name": "EHRLink PharmacotherapyDB Processing Files", "original_source": [{"relation_type": "prov:hadPrimarySource", "source": "ehrlink"}], "product_url": "https://github.com/dhimmel/indications/tree/gh-pages/ehrlink", "repository": "https://github.com/dhimmel/indications", "secondary_source": [{"relation_type": "prov:wasDerivedFrom", "source": "pharmacotherapydb"}]}, {"category": "DocumentationProduct", "description": "Publication describing the crowdsourcing methodology used to identify relationships between clinical problems and medications in EHRLink.", "format": "http", "id": "ehrlink.publication", "name": "EHRLink Methodology Publication", "original_source": [{"relation_type": "prov:hadPrimarySource", "source": "ehrlink"}], "product_url": "https://doi.org/10.1136/amiajnl-2012-000852", "warnings": []}, {"category": "Product", "description": "Curated TSV catalog of drug-disease indications classified as disease-modifying, symptomatic, or non-indications", "format": "tsv", "id": "pharmacotherapydb.indications", "name": "PharmacotherapyDB Indications TSV", "original_source": [{"relation_type": "prov:hadPrimarySource", "source": "pharmacotherapydb"}], "product_file_size": 76754, "product_url": "https://raw.githubusercontent.com/dhimmel/indications/gh-pages/catalog/indications.tsv", "secondary_source": [{"relation_type": "prov:used", "source": "doid"}, {"relation_type": "prov:used", "source": "drugbank"}, {"relation_type": "prov:wasInformedBy", "source": "labeledin"}, {"relation_type": "prov:wasInformedBy", "source": "medi"}, {"relation_type": "prov:wasInformedBy", "source": "ehrlink"}, {"relation_type": "prov:wasInformedBy", "source": "predict"}]}], "publications": [{"authors": ["Allison B McCoy", "Adam Wright", "Archana Laxmisan", "Madelene J Ottosen", "Jacob A McCoy", "David Butten", "Dean F Sittig"], "doi": "10.1136/amiajnl-2012-000852", "id": "doi:10.1136/amiajnl-2012-000852", "journal": "Journal of the American Medical Informatics Association", "preferred": true, "title": "Development and evaluation of a crowdsourcing methodology for knowledge base construction: identifying relationships between clinical problems and medications", "year": "2012"}], "repository": "https://github.com/dhimmel/indications", "warnings": ["EHRLink does not appear to have a maintained standalone public portal; the registry entry points to the source publication and PharmacotherapyDB processing materials."]}