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2/6/2016 RXNorm Overview | Health Informatics Standards | HI101 Courseware | MedX http://13.76.212.6/courses/DLSU/HI101/2016_01/courseware/3833034627cd4b01b49dd68ec17f2191/17715cc05c404fc091e885f530b2aa0e/ 1/14 This overview is intended to give new users a general idea of the purpose and structure of RxNorm. The RxNorm technical documentation contains a more-detailed explanation of the technical aspects of RxNorm. WHAT IS RXNORM? RxNorm is two things: a normalized naming system for generic and branded drugs; and a tool for supporting semantic interoperation between drug terminologies and pharmacy knowledge base systems. The National Library of Medicine (NLM) produces RxNorm. PURPOSE OF RXNORM Hospitals, pharmacies, and other organizations use computer systems to record and process drug information. Because these systems use many different sets of drug names, it can be difficult for one system to communicate with another. To address this challenge, RxNorm provides normalized names and unique identifiers for medicines and drugs. The goal of RxNorm is to allow computer systems to communicate drug-related information efficiently and unambiguously. SCOPE OF RXNORM RxNorm contains the names of prescription and many over-the-counter drugs available in the United States. RxNorm includes generic and branded: · Clinical drugs - pharmaceutical products given to (or taken by) a patient with therapeutic or diagnostic intent · Drug packs - packs that contain multiple drugs, or drugs designed to be administered in a specified sequence Radiopharmaceuticals, bulk powders, contrast media, food, dietary supplements, and medical devices, such as bandages and crutches, are all out of scope for RxNorm. RXNORM DLSU: HI101 Introduction to Health Informatics

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  • 2/6/2016 RXNorm Overview | Health Informatics Standards | HI101 Courseware | MedX

    http://13.76.212.6/courses/DLSU/HI101/2016_01/courseware/3833034627cd4b01b49dd68ec17f2191/17715cc05c404fc091e885f530b2aa0e/ 1/14

    This overview is intended to give new users a general idea of the purpose and structure of RxNorm. The RxNorm

    technical documentation contains a more-detailed explanation of the technical aspects of RxNorm.

    WHAT IS RXNORM?

    RxNorm is two things: a normalized naming system for generic and branded drugs; and a tool for supporting

    semantic interoperation between drug terminologies and pharmacy knowledge base systems. The National Library

    of Medicine (NLM) produces RxNorm.

    PURPOSE OF RXNORM

    Hospitals, pharmacies, and other organizations use computer systems to record and process drug information.

    Because these systems use many different sets of drug names, it can be difficult for one system to communicate

    with another. To address this challenge, RxNorm provides normalized names and unique identifiers for medicines

    and drugs. The goal of RxNorm is to allow computer systems to communicate drug-related information efficiently

    and unambiguously.

    SCOPE OF RXNORM

    RxNorm contains the names of prescription and many over-the-counter drugs available in the United States.

    RxNorm includes generic and branded:

    ·         Clinical drugs - pharmaceutical products given to (or taken by) a patient with therapeutic or diagnostic intent

    ·         Drug packs - packs that contain multiple drugs, or drugs designed to be administered in a specified sequence

    Radiopharmaceuticals, bulk powders, contrast media, food, dietary supplements, and medical devices, such as

    bandages and crutches, are all out of scope for RxNorm.

    RXNORM

    DLSU: HI101 Introduction to Health Informatics

    http://13.76.212.6/

  • 2/6/2016 RXNorm Overview | Health Informatics Standards | HI101 Courseware | MedX

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    HOW IS RXNORM PRODUCED?

    NLM receives drug names from many data sources, analyzes and processes the data, and outputs the data into

    RxNorm files in a standard format. There are many steps involved in RxNorm production, but these five basic steps

    give a general idea of how RxNorm is produced:

    1. Group source data into collections of synonyms (called concepts).

    Sample source data:

    ·         Naproxen Tab 250 MG

    ·         Naproxen 250mg tablet (product)

    ·         NAPROXEN@250 mg@ORAL@TABLET

    ·         Naproxen 250 MILLIGRAM In 1 TABLET ORAL TABLET

    ·         NAPROXEN 250MG TAB,UD [VA Product]

    Sources format their drug names in many different ways. Although the drug names in this Naproxen example

    appear different, they all have the same meaning at a certain level of abstraction. RxNorm groups these as

    synonyms into one concept.

    2. Create an RxNorm normalized name for each concept (if the concept is in scope and unambiguous).

    About 60% of the drug names from source vocabularies receive RxNorm normalized names in addition to the names

    provided by the source vocabularies. The other 40% do not receive RxNorm normalized names, because they are

    either out of scope or their names are too ambiguous. The most common types of names that are not assigned

    RxNorm normalized names are medical devices, foods, and enzymes.

    The Naproxen concept above is in scope for RxNorm, so it is assigned an RxNorm normalized name. The normalized

    name consists of the ingredient, strength, and dose form (in that order) for fully-specified generic drugs. In our

    example, the RxNorm normalized name is 'Naproxen 250 MG Oral Tablet'. The branded version of this drug uses the

    same format but includes the brand name in brackets at the end (e.g., 'Naproxen 250 MG Oral Tablet [Prosaid]').

    ;

    00:00 / 05:21Table of Contents 1.0x

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    3. Assign an RxNorm concept unique identifier (RXCUI) to each concept and an RxNorm atom unique identifier

    (RXAUI) to each atom.

    Each concept receives an RXCUI, which is unique to that concept. An RXCUI is essentially the "name" of a concept

    that computers read and understand. RXCUIs are never deleted or reused; RXCUIs and the meanings of concepts

    persist from one RxNorm release to the next.

    Concepts are collections of synonyms at a given level of abstraction. Each drug name carries additional

    characteristics, including its source, its code (the unique identifier assigned by its source), and its term type

    (described below). An atom is a drug name plus these additional characteristics. Each atom within a concept receives

    an atom unique identifier, an RXAUI.

    NLM assigns the RXCUI '198013' to the Naproxen concept above. Each of the atoms associated with the drug names

    listed above receives a separate RXAUI.

    4. Include relationships and attributes from the source data.

    Source data include more than drug names in some cases. Data can also include relationships that link drug names

    to other drug names and ingredients, as well as other information, such as National Drug Codes (NDCs), marketing

    categories, and pill imprint information.

    Using the same example as before, you'll find relationships to synonyms and ingredients, as well as NDC,

    manufacturer, and pill size attributes.

    5. Create related RxNorm names and relationships.

    In addition to the fully complete clinical drug names (ingredient, strength, and dose form), RxNorm also creates

    names at other levels of specificity:

    ·         ingredient / precise ingredient / multiple ingredients

    ·         ingredient + strength

    ·         ingredient + dose form / ingredient + dose form group

    Whenever NLM creates a fully-specified drug name, these more general names (and the concepts that contain these

    names) are also created if they don't already exist. RxNorm then creates relationships to link these concepts

    together. This set of concepts and relationships is a "graph." So for both generic and branded drugs, RxNorm "fills

    out the graph" by creating the related drug names (and their concepts) that don't already exist. In the case of

    branded drugs, NLM creates their generic counterparts when they don't already exist in the data.

    Along with the RxNorm fully-specified name 'Naproxen 250 MG Oral Tablet', NLM creates:

    ·         'Naproxen'

    ·         'Naproxen 250 MG'

    ·         'Naproxen Oral Tablet' / 'Naproxen Oral Products' / 'Naproxen Pills'

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    RxNorm links these names using relationships. Here are a few examples:

    ·         'Naproxen 250 MG Oral Tablet' has_dose_form 'Oral Tablet'

    ·         'Naproxen' ingredient_of 'Naproxen 250 MG'

    ·         'Naproxen 250 MG Oral Tablet' isa 'Naproxen Oral Tablet'

    ·         'Naproxen Pills' has_ingredient 'Naproxen'

     Where does RxNorm get its data?

    RxNorm data sources

    RxNorm is a terminology built on and derived from other terminologies. RxNorm reflects and preserves the

    meanings, drug names, attributes, and relationships from its sources. RxNorm receives drug names from 14

    source terminologies:

    Source Source Abbreviation (SAB)

    Anatomical Therapeutic Chemical Classification System ATC

    Gold Standard Drug Database GS

    Medi-Span Master Drug Data Base MDDB

    Medical Subject Headings (MeSH) MSH

    Multum MediSource Lexicon MMSL

    Micromedex RED BOOK MMX

    CMS Formulary Reference File MTHCMSFRF

    FDA Structured Product Labels MTHSPL

    FDB MedKnowledge (formerly NDDF Plus) NDDF

    Veterans Health Administration National Drug File - Reference Terminology NDFRT

    NDFRT FDASPL relationships NDFRT_FDASPL

    NDFRT FMTSME relationships NDFRT_FMTSME

    US Edition of SNOMED CT (drug information) SNOMEDCT_US

    Veterans Health Administration National Drug File VANDF

     If a drug name isn't included in the RxNorm data files, then RxNorm didn't receive this information from any of its

    data sources.

    SAB=RXNORM

    In addition to the 14 data sources, the derived RxNorm normalized drug names become a terminology. RxNorm

    is composed of the normalized names based upon the information received from the sources listed above. We'll

    refer to these normalized names as SAB=RXNORM so it's clear when we are talking about RxNorm as a set of

    drug terminologies (RxNorm) and RxNorm as a source of normalized drug names (SAB=RXNORM).

    https://www.nlm.nih.gov/research/umls/rxnorm/overview.html

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    Each SAB=RXNORM normalized name follows a simple pattern using the ingredient, strength, and dose form.

    For branded drugs, SAB=RXNORM includes the brand name, and for packs of drugs, SAB=RXNORM includes the

    quantities of each drug.

    ·         Generic drugs - Ingredient Strength Dose Form

    ·         Branded drugs - Ingredient Strength Dose Form [Brand Name]

    ·         Generic drug packs - {# (Ingredient Strength Dose Form) / # (Ingredient Strength Dose Form)} Pack

    ·         Branded drug packs - {# (Ingredient Strength Dose Form) / # (Ingredient Strength Dose Form)} Pack [Brand

    Name]

    Ingredient: Ingredients generally use the United States Adopted Name (USAN). The Basis of Strength Substance

    (BoSS) is used in the fully normalized name (e.g., warfarin sodium vs warfarin in 'Warfarin Sodium 1 MG Oral

    Tablet'). 

    Strength: SAB=RXNORM bases the strength on the active ingredient(s), which may be either the precise (salt or

    ester) or the base ingredient of the drug. Strengths use the "milli" metric system equivalents (e.g., milligrams,

    milliliters). Liquids are expressed per milliliter. When a powder can be reconstituted to a range of liquid

    concentrations, the highest concentration in the range is used for the normalized form. 

    Dose Form: SAB=RXNORM uses a set of dose forms based upon those included in the Health Level 7 (HL7) data

    standard. 

    Brand name: SAB=RXNORM usually represents brand names as seen on the packaging (e.g., Zoloft, Tylenol Cold

    Relief, and Advair 115/21). In cases where the name on the packaging includes extra information that represents

    information beyond ingredient or strength, SAB=RXNORM removes additional that information (e.g., Lamisil

    instead of Lamisil AT and Spiriva instead of Spiriva HandiHaler).

    Note: There are some cases where the SAB=RXNORM normalized drug name includes additional elements. For

    instance, drugs containing multiple ingredients will have all ingredients listed. Another example is drugs using

    specific dose forms that require a quantity factor even though they are not RxNorm drug packs, such as the

    volume of drug in a prefilled syringe, number of actuations in a metered dose inhaler, or duration of action of

    an extended release capsule.

    Term Types

    SAB=RXNORM uses term types (TTYs) to indicate generic and branded drug names at different levels of

    specificity. The following table includes the full list of SAB=RXNORM term types.

    TTY Name Description Example

    IN Ingredient A compound or moiety that gives the drug its distinctiveclinical properties. Ingredients generally use the United

    States Adopted Name (USAN).

    Fluoxetine

    PIN Precise

    Ingredient

    A specified form of the ingredient that may or may notbe clinically active. Most precise ingredients are salt or

    isomer forms.

    Fluoxetine Hydrochloride

    http://www.nlm.nih.gov/research/umls/rxnorm/docs/2016/appendix2.html

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    MIN Multiple

    Ingredients

    Two or more ingredients appearing together in a singledrug preparation, created from SCDF. In rare caseswhen IN/PIN or PIN/PIN combinations of the same base

    ingredient exist, created from SCD.

    Fluoxetine / Olanzapine

    DF Dose Form See Appendix 2 for a full list of Dose Forms. Oral Solution

    DFG Dose Form

    GroupSee Appendix 3 for a full list of Dose Form Groups. Oral Liquid

    SCDC SemanticClinical Drug

    Component

    Ingredient + Strength Fluoxetine 4 MG/ML

    SCDF SemanticClinical Drug

    Form

    Ingredient + Dose Form Fluoxetine Oral Solution

    SCDG SemanticClinical Dose

    Form Group

    Ingredient + Dose Form Group Fluoxetine Oral Product

    SCD Semantic

    Clinical DrugIngredient + Strength + Dose Form Fluoxetine 4 MG/ML Oral Solution

    BN Brand Name A proprietary name for a family of products containing a

    specific active ingredient.Prozac

    SBDC SemanticBranded Drug

    Component

    Ingredient + Strength + Brand Name Fluoxetine 4 MG/ML [Prozac]

    SBDF SemanticBranded Drug

    Form

    Ingredient + Dose Form + Brand Name Fluoxetine Oral Solution [Prozac]

    SBDG SemanticBranded Dose

    Form Group

    Brand Name + Dose Form Group Prozac Pill

    SBD Semantic

    Branded DrugIngredient + Strength + Dose Form + Brand Name Fluoxetine 4 MG/ML Oral Solution [Prozac]

    PSN Prescribable

    Name

    Synonym of another TTY, given for clarity and for displaypurposes in electronic prescribing applications. Only

    one PSN per concept.

    Leena 28 Day Pack

    SY Synonym Synonym of another TTY, given for clarity. Prozac 4 MG/ML Oral Solution

    TMSY Tall ManLettering

    Synonym

    Tall Man Lettering synonym of another TTY, given to

    distinguish between commonly confused drugs.FLUoxetine 10 MG Oral Capsule [PROzac]

    BPCK Brand Name

    Pack

    {# (Ingredient Strength Dose Form) / # (Ingredient

    Strength Dose Form)} Pack [Brand Name]

    {12 (Ethinyl Estradiol 0.035 MG / Norethindrone 0.5 MGOral Tablet) / 9 (Ethinyl Estradiol 0.035 MG /Norethindrone 1 MG Oral Tablet) / 7 (Inert Ingredients

    1 MG Oral Tablet) } Pack [Leena 28 Day]

    GPCK Generic Pack {# (Ingredient + Strength + Dose Form) / # (Ingredient +

    Strength + Dose Form)} Pack

    {11 (varenicline 0.5 MG Oral Tablet) / 42 (varenicline 1

    MG Oral Tablet) } Pack

    Relationships

    SAB=RXNORM uses relationships to link concepts that contain the same ingredient or dose form. Using these

    relationships, you can navigate the SAB=RXNORM graph from an ingredient to a fully-specified drug and so

    forth. See Appendix 1 for a full list of relationships.

    http://www.nlm.nih.gov/research/umls/rxnorm/docs/2016/appendix2.htmlhttp://www.nlm.nih.gov/research/umls/rxnorm/docs/2016/appendix3.htmlhttp://www.nlm.nih.gov/research/umls/rxnorm/docs/2016/appendix1.html

  • 2/6/2016 RXNorm Overview | Health Informatics Standards | HI101 Courseware | MedX

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    String Relationship

    AttributeString

    Acetaminophen 325 MG Oral Tablet has_tradename Acetaminophen 325 MG Oral Tablet [Tylenol]

    Acetaminophen part_of Acetaminophen / Diphenhydramine

    Acetaminophen 325 MG Oral Tablet [Tylenol] has_dose_form Oral Tablet

    Oral Tablet dose_form_of Acetaminophen 325 MG Oral Tablet [Tylenol]

     

    Most SAB=RXNORM relationships exist between concepts, which means they link one RXCUI to another RXCUI.

    There are also SAB=RXNORM relationships that link RXAUIs to other RXAUIs. These atom-level relationships link

    synonyms (TTY=SY, TTY=TMSY) to other SAB=RXNORM names within the same concept.

    NDCs, UNIIs, and other attributes

    In addition to normalized names and relationships, SAB=RXNORM includes attributes, which are additional

    pieces of information associated with a concept or an atom. For example, SAB=RXNORM associates unique

    ingredient identifiers (UNIIs) with concepts using the "UNII_CODE" attribute. Fully-specified drugs have other

    attributes, including NDCs. When source providers include NDCs in their data, SAB=RXNORM normalizes these

    NDCs to the 11-digit HIPAA format and adds them as attributes. For a full list of SAB=RXNORM attributes,

    see Appendix 4. Here are some attribute examples: 

    Attribute

    Name (ATN)

    Attribute

    Value (ATV)

    NDC 54569520800

    NDC 58016082683

    UNII_CODE 01K63SUP8D

    RXN_HUMAN_DRUG US

    HOW ARE THE RXNORM DATA ORGANIZED?

    The full monthly RxNorm release includes 12 data files, which are simple text files with pipe ('|') delimiters between

    each field value. RxNorm data files are meant to be loaded as separate tables into a database management system.

    However, the files are not fully normalized as would be the case in a formal database; there are duplications across

    and within files by design.

    Drug names and unique identifiers - RXNCONSO.RRF

    RXNCONSO contains all of the source-provided drug and ingredient names, as well as the normalized SAB=RXNORM

    names. Each name is related to its RxNorm atom unique identifier (RXAUI), RxNorm concept unique identifier

    (RXCUI), source vocabulary (SAB), and term type (TTY). Each row in this file represents a single atom, and the RXAUI

    value is unique for each row. Essentially, the row is the atom. Because a given concept may include multiple atoms,

    there may be multiple rows with a given RXCUI.

    Sample data from RXNCONSO:

    http://www.nlm.nih.gov/research/umls/rxnorm/docs/2016/appendix4.html

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    141962|ENG||||||2407920||||NDDF|CDD|016630|AZITHROMYCIN@250 mg@ORAL@CAPSULE (HARD, SOFT,

    ETC.)||O||

    141962|ENG||||||3104225||N0000158075||NDFRT|PT|N0000158075|AZITHROMYCIN 250MG CAP||O||

    141962|ENG||||||2403354||||MMX|CD|125011|Azithromycin 250 MG Oral Capsule||N||

    141962|ENG||||||944489|944489|141962||RXNORM|SCD|141962|Azithromycin 250 MG Oral

    Capsule||N|4096|

    141962|ENG||||||944502||324252006||SNOMEDCT|FN|324252006|Azithromycin 250mg capsule

    (product)||N||

    141962|ENG||||||944496||||VANDF|CD|4010157|AZITHROMYCIN 250MG CAP||O||

    These six rows of data represent synonymous drug names from the same concept. This concept has the normalized

    SAB=RXNORM name 'Azithromycin 250 MG Oral Capsule' and the RXCUI '141962' (as shown in the first column of the

    data). The RXAUIs for each of these atoms are different (as shown in the column of numbers that starts with

    '2407920').

    Synonymous atoms are grouped into concepts, even if they don't receive a normalized SAB=RXNORM name:

    62959|ENG||||||565933||||MDDB|CD|06986|Cotton Balls||N||

    62959|ENG||||||2364317||||MMSL|MS|NOCODE|Cotton Balls||N||

    62959|ENG||||||2627757||||VANDF|IN|4024474|COTTON BALL||N||

    Notice that there is no SAB=RXNORM normalized name for this out-of-scope concept; however, the concept does

    have an RXCUI ('62959').

    Relationships - RXNREL.RRF

    RXNREL contains all of the relationships that exist between atoms and between concepts. This includes source-

    provided relationships and relationships between SAB=RXNORM drug names.

    Relationships in this file connect RXAUIs or RXCUIs. The corresponding drug names for these RXAUIs and RXCUIs are

    found in RXNCONSO.

    Sample data from RXNREL:

    141962||CUI|RN|105259||CUI|tradename_of|4170244||RXNORM||||N||

    141962||CUI|RO|315449||CUI|constitutes|4252583||RXNORM||||N|4096|

    141962||CUI|RO|316965||CUI|dose_form_of|4440822||RXNORM||||N|4096|

    141962||CUI|RB|370974||CUI|inverse_isa|4380721||RXNORM||||N|4096|

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    ----------------------------------------------------------------------------

    105259||CUI|RB|141962||CUI|has_tradename|3981738||RXNORM||||N||

    315449||CUI|RO|141962||CUI|consists_of|3993083||RXNORM||||N|4096|

    316965||CUI|RO|141962||CUI|has_dose_form|4136890||RXNORM||||N|4096|

    370974||CUI|RN|141962||CUI|isa|4139458||RXNORM||||N|4096|

    SAB=RXNORM relationships exist between atoms and between concepts (as shown above), while source-provided

    relationships only exist between atoms from that source. SAB=RXNORM relationships are bi-directional. In the

    sample data, you can see one direction of relationships above the dividing line and relationships going in the

    opposite direction below the line. You can find a full list of SAB=RXNORM relationships with examples in Appendix 1.

    Attributes - RXNSAT.RRF

    RXNSAT contains all of the attribute data. This includes SAB=RXNORM attributes, such as normalized 11-digit NDCs,

    UNII codes, and human or veterinary usage markers, and source-provided attributes, such as labeler, definition, and

    imprint information. Each attribute has an 'Attribute Name' (ATN) and 'Attribute Value' (ATV) combination. For

    example, NDCs have an ATN of 'NDC' and an ATV of the actual NDC value.

    RXNSAT associates attribute data with RXAUIs and RXCUIs. The corresponding drug names for these RXAUIs and

    RXCUIs are found in RXNCONSO.

    Sample data from RXNSAT:

    141962|||944489|AUI|141962|||RXN_HUMAN_DRUG|RXNORM|US|N|4096|

    141962|||944496|AUI|4010157|AT54398167||VA_GENERIC_NAME|VANDF|AZITHROMYCIN|N||

    141962|||944496|AUI|4010157|||NDC|VANDF|000069305034|O||

    141962|||3104227|SCUI|N0000158075|||VUID|NDFRT|4010157|N||

    141962|||2403354|AUI|125011|||DRT|MMX|Oral|N||

     Semantic types - RXNSTY.RRF

    RXNSTY contains the semantic types, or broad subject categories, assigned to each concept. Every concept receives

    at least one semantic type. 80% of RxNorm drug concepts have the semantic type 'Clinical Drug'.

    RXNSTY associates semantic type data with RXCUIs. The corresponding drug names for these RXCUIs are found in

    RXNCONSO.

    Sample data from RXNSTY:

    141962|T200|A1.3.3|Clinical Drug||4096|

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    902046|T074|A1.3.1|Medical Device|||

    860665|T200|A1.3.3|Clinical Drug|||

    98220|T126|A1.4.1.1.3.3|Enzyme|||

    98220|T116|A1.4.1.2.1.7|Amino Acid, Peptide, or Protein|||

    Visit the UMLS Reference Manual for more information on semantic types and the Semantic Network.

    Data history - RXNCUI.RRF, RXNCUICHANGES.RRF, RXNATOMARCHIVE.RRF

    RXNCUI, RXNCUICHANGES, and RXNATOMARCHIVE include history information about RxNorm atoms and concepts.

    RXNCUI contains information on retired concepts. A concept is retired when it:

    ·         merges into another concept or

    ·         has been renamed as a result of an error.

    Sample data from RXNCUI:

    283295|RXNORM_04AC_050210F|RXNORM_09AA_090908F|1|283295|

    763070|RXNORM_09AB_100104F|RXNORM_09AB_100104F|1|763070|

    197991|RXNORM_09AB_100301F|RXNORM_09AB_100301F|1|311752|

    RXNCUICHANGES contains information on atoms that have changed concepts from the previous release to the

    current release. This file is not cumulative.

    Sample data from RXNCUICHANGES:

    1419457|4003569|VANDF|CD|DOXORUBICIN HCL 150MG/VIL (RDF) INJ|310024|1191138|

    ||RXNORM|||755184|1190348|

    1260130|318192009|SNOMEDCT|PT|Atropine sulfate 600micrograms/1mL injection|245349|1190787|

    2302994|1117536|RXNORM|OCD|Potassium Nitrate/Silver Nitrate 25%-75% Topical Swab|259286|1117536|

    RXNATOMARCHIVE contains information about SAB=RXNORM atoms that are no longer in RXNCONSO.

    Sample data from RXNATOMARCHIVE:

    1353682|A10409371|Ascorbic Acid 100 MG / Zinc 13.3 MG Lozenge|10/01/2009 01:10:55 PM|03/10/2005 02:03:58

    PM|09/29/2009 06:09:06 PM|283295||ENG|08-SEP-09||RXNORM_09AA_090908F|283295|RXNORM|SCD|283295|

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    2007378|A7238781|SULFAMETHOXAZOLE/TRIMETHOPRIM 80-16MG/ML INTRAVEN. AMPUL (ML)|06/23/2008

    02:06:07 PM|03/10/2005 03:03:03 PM|06/10/2008 02:06:09 PM|313137||ENG|02-JUN-

    08||NDDF_2008_05_09|313137|RXNORM|OCD|313137|

     Metadata - RXNSAB.RRF, RXNDOC.RRF

    RXNSAB and RXNDOC contain data about the RxNorm data, such as a list of term types, source provider contact

    information, and explanations of data types.

    RXNSAB includes one row for each source in RxNorm, including SAB=RXNORM. RXNSAB contains contact information

    for source providers, available term types and attributes, and other information related to each RxNorm source.

    Sample data from RXNSAB:

    | C3265859 | C1140284 | RXNORM_12AA_121001F | RXNORM | RxNorm Vocabulary | RXNORM | 12AA_121001F | |

    | 2012AA | | Stuart Nelson, M.D. ; Head, MeSH Section;National Library of Medicine;8600 Rockville Pike;;

    Bethesda;Maryland;United States;20894;;;[email protected]; | Stuart Nelson, M.D.;He ad, MeSH Section;National

    Library of Medicine;8600 Rockville Pike;;Bethesda;Maryland;United States;20894;;; [email protected]; | 0 | NULL |

    NULL | | IN,OCD,DF,GPCK, SCD,MIN,SCDF,SBDF,DFG, TMSY,BN,PIN,ET,BPCK,SCDG,SBDC,SBD,SBDG,SY,SCDC |

    ORIG_SOURCE,ORIG_AMBIGUITY_FLAG, RXN_IN_EXPRESSED_FLAG,RXN_STREN GTH,RXN_QUANTITY,

    RXTERM_FORM,RXN_OBSOLETED, RXN_VET_DRUG, RXN_BN_CARDINALITY,ORIG_CODE,AMBIGUITY_FLAG,

    RXN_HUMAN_DRUG,UNII_CODE,ORIG_VSAB, RXN_ACTIVATED, RXN_AVAILABLE_STRENGTH,ORIG_TTY,NDC | ENG |

    UTF-8 | Y | Y | RxNorm work done by the National Library of Medicine | ;;;;RxNorm;;;META2012AA Full Upd ate

    2012_10_01;Bethesda, MD;National Library of Medicine;;;;;;;; |

    RXNDOC is actually a file borrowed from the UMLS (called MRDOC.RRF in the Metathesaurus). This file provides a

    brief explanation of the values for the data elements and attributes in RxNorm and the UMLS.

    Sample data from RXNDOC:

    ATN|NDC|expanded_form|National Drug Code corresponding to a clinical drug (e.g. 000023082503)|

    LAT|ENG|expanded_form|English|

    RELA|has_precise_ingredient|rela_inverse|precise_ingredient_of|

    TTY|MIN|expanded_form|name for a multi-ingredient|

    TTY|SCD|expanded_form|Semantic Clinical Drug|

    WHAT IS THE CURRENT PRESCRIBABLE CONTENT SUBSET?

    The Current Prescribable Content is a subset of currently prescribable drugs found in RxNorm. NLM intends it to be

    an approximation of the prescription drugs currently marketed in the US. The subset also includes some frequently-

    prescribed over-the-counter drugs.

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    The subset includes only the active RxNorm normalized names, codes (RxCUIs), attributes, and relationships, as well

    as the FDA structured product label drugs and ingredients. It does not include data from any of the other 10 RxNorm

    data providers, such as First DataBank, Micromedex, or the Veterans Administration. We also removed suppressed

    and obsolete data.

    The subset uses the same pipe-delimited file format as the regular RxNorm data files. However, the subset only

    includes the RXNCONSO.RRF, RXNREL.RRF, and RXNSAT.RRF files.

    HOW DO I GET THE RXNORM DATA?

    Conditions of use

    You must have a UMLS Terminology Services (UTS) account to access the RxNorm release files. NLM does not charge

    for licensing RxNorm; however, the use of some non-SAB=RXNORM data may require additional licensing from those

    source providers. Read the UMLS Metathesaurus License Agreement for more information. Visit the UTS to sign up

    for an account.

    RxNorm Release files

    You can download RxNorm as a zip file from the RxNorm Files page. The zip file contains the RxNorm RRF data files,

    a README file, and MySQL and Oracle database load scripts. The zip file also includes the Current Prescribable

    Content subset.

    RxNorm Current Prescribable Content subset

    You can download a subset of currently prescribable drugs found in RxNorm from the RxNorm Files page. The

    subset only includes SAB=RXNORM and SAB=MTHSPL data. You do not need a license to download this subset.

    RxNorm API

    The RxNorm API allows access to RxNorm data via SOAP/WSDL. Visit the RxNorm API page for more information.

    RxNav

    RxNav is an application built upon the RxNorm API. RxNav provides searching and browsing capabilities of the

    RxNorm data. You do not need a license to view SAB=RXNORM data in RxNav. Visit the RxNav page for more

    information.

    UMLS

    RxNorm is also available as a source in the UMLS Metathesaurus. Visit the UMLS Source Release Documentation

    page for more information on RxNorm in the UMLS. The version in the UMLS has often been superseded by a more

    current RxNorm release. Thus, the UMLS version of RxNorm is useful for general interoperability purposes but not

    as a source for the most current information.

    ·         Downloads - The UMLS is available for download from the UTS.

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    ·         Browser - The Metathesaurus Browser, available via the UTS, provides searching and browsing capabilities of

    the UMLS data online.

    HOW OFTEN IS RXNORM RELEASED?

    Full Monthly Releases

    The full RxNorm data set is released on the first Monday of each month. During months when the first Monday is a

    Federal holiday, RxNorm is released on the following Tuesday. The monthly release schedule for 2016 is:

    Date Day

    January 4 Monday

    February 1 Monday

    March 7 Monday

    April 4 Monday

    May 2 Monday

    June 6 Monday

    July 5 Tuesday

    August 1 Monday

    September 6 Tuesday

    October 3 Monday

    November 7 Monday

    December 5 Monday

    Weekly Updates

    RxNorm is updated every Wednesday with newly-approved drug information from the MTHSPL source

    vocabulary. Weekly updates are meant to be used in conjunction with the most recent full monthly release and

    any previous weekly updates for that same month.

    UMLS Semiannual Releases

    RxNorm is available through the UMLS, which is updated in May and November each year. The RxNorm data in

    the UMLS is always a few months behind the current RxNorm monthly release. For example, the November

    release of the UMLS would contain the September RxNorm data. At each UMLS release, the monthly RxNorm

    data is synchronized with the data contained in that UMLS release.

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