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I-MAGIC
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:11.000ZI-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.
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SNOMED CT
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:12.000ZSNOMED 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.
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MAGPIE (Map Assisted Generation of Procedure and Intervention Encoding) [DEMO]
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:11.000ZMAGPIE 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.
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Carcinogenic Potency Database (CPDB)
datadiscovery.nlm.nih.gov | Last Updated 2024-06-20T14:09:34.000ZThe CPDB is a single standardized resource of the results of 45 years of chronic, long-term carcinogenesis bioassays. The experiments vary widely in design, histopathological examination and nomenclature, and in the published authors’ choices of what information to publish in their papers. Data are included from 6153 experiments reported in the general literature and in the in Technical Reports of the National Cancer Institute/National Toxicology Program (NCI/NTP). Information is given in the CPDB on strain, sex, route of compound administration, target organ, histopathology, author’s opinion about carcinogenicity, and reference to the published paper, as well as quantitative data on statistical significance, tumor incidence, dose-response curve shape, length of experiment, duration of dosing, and dose-rate. The files on this Web site for the Excel format include (A) documentation of methods, field descriptions, and linking instructions; (B) Excel files; and (C) ancillary files of appendices. NOTE: This dataset is no-longer updated with new content.
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Martin M. Cummings and the NLM
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:12.000ZAn online edition of XML-encoded speeches, articles, and Congressional Appropriations testimonies by former NLM director Martin M. Cummings, based on the collection of his papers in HMD’s Modern Manuscripts collection.
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Visible Human Project
datadiscovery.nlm.nih.gov | Last Updated 2023-06-30T20:03:07.000ZThe NLM Visible Human Project® has created publicly-available complete, anatomically detailed, three-dimensional representations of a human male body and a human female body. Specifically, the VHP provides a public-domain library of cross-sectional cryosection, CT, and MRI images obtained from one male cadaver and one female cadaver. The Visible Man data set was publicly released in 1994 and the Visible Woman in 1995. https://www.nlm.nih.gov/research/visible/visible_human.html
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Value Set Authority Center
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:10.000ZThe VSAC is a repository and authoring tool for public value sets created by external programs. Value sets are lists of codes and corresponding terms, from NLM-hosted standard clinical vocabularies (such as SNOMED CT®, RxNorm, LOINC® and others), that define clinical concepts to support effective and interoperable health information exchange. The VSAC does not create value set content. The VSAC also provides downloadable access to all official versions of value sets specified by the Centers for Medicare & Medicaid Services (CMS) electronic Clinical Quality Measures (eCQMs). For information on CMS eCQMs, visit the eCQI Resource Center. The VSAC is provided by the National Library of Medicine (NLM), in collaboration with the Office of the National Coordinator for Health Information Technology (ONC) and CMS.
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Unified Medical Language System (UMLS)
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:12.000ZThe UMLS integrates and distributes key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records.