Others titles
- SNOMED CT Clinical Observations Recordings and Encoding Problem List Subset
- CORE Problem List Subset of SNOMED CT November 2019
Keywords
- CORE Subset
- SNOMED CT Datasets
- Problem List Subsets
- Healthcare Terminology
- CORE Problem List Subset
- SNOMED CT Concepts
- Download SNOMED CT
SNOMED CT Encoded CORE Problem List Subset

SNOMED CT Encoded CORE Problem List Subset July 2019 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.
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Description
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.
About this Dataset
Data Info
Date Created | 2009-07-01 |
---|---|
Last Modified | 2021-05 |
Version | 2021-05 |
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 | |
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 November 2019 |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
SNOMED_CT_Concept_Id | Concept Id of the SNOMED CT concept | integer | level : Nominalrequired : 1 |
SNOMED_CT_Fully_Specified_Name | SNOMED CT fully-specified name | string | required : 1 |
SNOMED_CT_Concept_Status | Concept status of the SNOMED CT concept | string | required : 1 |
UMLS_Concept_Id | The corresponding UMLS concept identifier, if concept is not yet in the UMLS this will be left as blank. | string | required : 1 |
Occurrence_of_Concept_on_Problem_List | Number of institutions having this concept on their problem list (from 1 to 8), not populated for concepts retired from Subset | integer | level : Ordinal |
Percent_Average_Use_Per_Institution | The average usage percentage among all institutions (i.e. sum of individual usage percentages divided by 8), not populated for concepts retired from Subset | number | level : Ratio |
First_Version_of_Subset_Containing_Concept | The version of Subset first containing this concept | date | required : 1 |
Is_Retired_From_Subset | Describes 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 concepts | boolean | required : 1 |
Last_Version_of_Subset_Containing_Concept | The version of Subset last containing this concept, only populated for concepts retired from Subset | date | - |
Replaced_By_SNOMED_CT_Concept_Id | SNOMED CT concept to replace concept retired from Subset, only populated for concepts retired from Subset | string | - |
Data Preview
SNOMED CT Concept Id | SNOMED CT Fully Specified Name | SNOMED CT Concept Status | UMLS Concept Id | Occurrence of Concept on Problem List | Percent Average Use Per Institution | First Version of Subset Containing Concept | Is Retired From Subset | Last Version of Subset Containing Concept | Replaced By SNOMED CT Concept Id |
38341003 | Hypertensive disorder, systemic arterial (disorder) | Current | C0020538 | 8 | 3.22 | 2020-09-07 | False | ||
55822004 | Hyperlipidemia (disorder) | Current | C0020473 | 8 | 2.14 | 2020-09-07 | False | ||
35489007 | Depressive disorder (disorder) | Current | C0011581 | 8 | 1.51 | 2020-09-07 | False | ||
235595009 | Gastroesophageal reflux disease (disorder) | Current | C0017168 | 8 | 1.37 | 2020-09-07 | False | ||
268565007 | Adult health examination (procedure) | Current | C0420151 | 5 | 1.2 | 2020-09-07 | False | ||
44054006 | Diabetes mellitus type 2 (disorder) | Current | C0011860 | 8 | 1.04 | 2020-09-07 | False | ||
59621000 | Essential hypertension (disorder) | Current | C0085580 | 7 | 0.93 | 2020-09-07 | False | ||
414916001 | Obesity (disorder) | Current | C0028754 | 8 | 0.93 | 2020-09-07 | False | ||
73211009 | Diabetes mellitus (disorder) | Current | C0011849 | 8 | 0.92 | 2020-09-07 | False | ||
195967001 | Asthma (disorder) | Current | C0004096 | 8 | 0.89 | 2020-09-07 | False |