SNOMED CT Encoded CORE Problem List Subset

$79 / year

SNOMED CT Encoded CORE Problem List Subset July 2017 is a UMLS CORE (Clinical Observations Recordings and Encoding) Project with the purpose of defining a UMLS (Unified Medical Language System) subset that is most useful for documenting and encoding clinical information at a summary level. The CORE Problem List Subset includes SNOMED CT concepts and codes that can be used for the problem list, discharge diagnoses, or reason of encounter. Version of SNOMED CT used for this subset is “Jul 2016”, whereas that of UMLS is “2016AB”.

Complexity

A key aspect of the UMLS CORE (Clinical Observations Recordings and Encoding) Project is the collation and analysis of datasets collected from health care institutions that utilize controlled vocabularies for data entry. These datasets contain the list of controlled terms and their actual frequency of usage in clinical databases. The original subset was based on datasets submitted by 7 institutions – Beth Israel Deaconess Medical Center, Intermountain Healthcare, Kaiser Permanente, Mayo Clinic, Nebraska University Medical Center, Regenstrief Institute and Hong Kong Hospital Authority. These institutions are large-scale, mixed inpatient-outpatient facilities that cover most major medical specialties (including Internal Medicine, General Surgery, Pediatrics, Obstetrics, Gynecology, Psychiatry and Orthopedics). From the 2012-08 version onwards, problem list data from the Veterans Administration have also been incorporated. The most frequently used 16,874 terms that cover 95% of usage volume in each institution are mapped to UMLS concepts using lexical matching supplemented by manual review.

Through the UMLS, mappings from the local terms to SNOMED CT concepts are identified. This constitutes the CORE Problem List Subset of SNOMED CT. Unmapped local terms that are considered useful for the problem list are submitted to the International Health Terminology Standards Development Organisation (IHTSDO). If accepted, the new SNOMED CT concepts are added to the CORE Subset. As SNOMED CT is the designated U.S. standard terminology for diagnosis and problem lists, and one of the requirements of the ‘Meaningful Use’ criteria of the Electronic Health Record, we believe that identifying a frequently used subset of SNOMED CT concepts will be useful to users who want to implement SNOMED CT in their clinical systems.

PURPOSE AND USE OF SUBSET: The main purpose of the SNOMED CT CORE subset is to facilitate the use of SNOMED CT as the primary coding terminology for problem lists or other summary level clinical documentation. The use of a common list of SNOMED CT concepts will maximize data interoperability among institutions.

Date Created

2009-07-01

Last Modified

2016-11-01

Version

2016-11-01

Update Frequency

Quarterly

Temporal Coverage

N/A

Spatial Coverage

United States

Source

John Snow Labs => International Health Terminology Standards Development Organization (IHTSDO), U.S. National Library of Medicine (NLM)

Source License URL

John Snow Labs Standard License

Source License Requirements

N/A

Source Citation

N/A

Keywords

CORE Subset, SNOMED CT Datasets, Problem List Subsets, Healthcare Terminology, CORE Problem List Subset, SNOMED CT Concepts, Download SNOMED CT

Other Titles

SNOMED CT Clinical Observations Recordings and Encoding Problem List Subset, CORE Problem List Subset of SNOMED CT July 2017

NameDescriptionTypeConstraints
SNOMED_CT_Concept_IdConcept Id of the SNOMED CT conceptintegerrequired : 1 level : Nominal
SNOMED_CT_Fully_Specified_NameSNOMED CT fully-specified namestringrequired : 1
SNOMED_CT_Concept_StatusConcept status of the SNOMED CT conceptstringrequired : 1
UMLS_Concept_IdThe corresponding UMLS concept identifier, if concept is not yet in the UMLS this will be left as blank.stringrequired : 1
Occurrence_of_Concept_on_Problem_ListNumber of institutions having this concept on their problem list (from 1 to 8), not populated for concepts retired from Subsetintegerlevel : Ordinal
Percent_Average_Use_Per_InstitutionThe average usage percentage among all institutions (i.e. sum of individual usage percentages divided by 8), not populated for concepts retired from Subsetnumberlevel : Ratio
First_Version_of_Subset_Containing_ConceptThe version of Subset first containing this conceptdaterequired : 1
Is_Retired_From_SubsetDescribes whether or not the concept has retired. In future, some concepts will be marked retired if they are retired by IHTSDO or no longer considered to be useful e.g. when there are more appropriate SNOMED CT conceptsbooleanrequired : 1
Last_Version_of_Subset_Containing_ConceptThe version of Subset last containing this concept, only populated for concepts retired from Subsetdate-
Replaced_By_SNOMED_CT_Concept_IdSNOMED CT concept to replace concept retired from Subset, only populated for concepts retired from Subsetintegerlevel : Nominal
SNOMED_CT_Concept_IdSNOMED_CT_Fully_Specified_NameSNOMED_CT_Concept_StatusUMLS_Concept_IdOccurrence_of_Concept_on_Problem_ListPercent_Average_Use_Per_InstitutionFirst_Version_of_Subset_Containing_ConceptIs_Retired_From_SubsetLast_Version_of_Subset_Containing_ConceptReplaced_By_SNOMED_CT_Concept_Id
1912002Fall (event)CurrentC008563910.00082012-08false
22253000Pain (finding)CurrentC003019350.05162009-07false
1023001Apnea (finding)CurrentC000357820.00502009-07false
49727002Cough (finding)CurrentC001020080.34222009-07false
90560007Gout (disorder)CurrentC001809980.29312009-07false
11381005Acne (disorder)CurrentC070216640.09612009-07false
52684005Assault (event)CurrentC000406320.03362009-07false
45352006Spasm (finding)CurrentC003776370.03182009-07false
55300003Cramp (finding)CurrentC002682150.01092009-07false
4800001Pyuria (finding)CurrentC003435940.00472009-07false