Date: February 8 2021
Summary: Standardized tables used in the OMOP Common Data Model
Keywords: #zettel #omop #cdm #table #standardized #archive
Not Available
OMOP Common Data Model (CDM): effort to standardize observational data to enable transferable analysis. [1]
The OMOP CDM features personcentric design where each domain records personal identity and a ate while prioritizing data protection through the limiting of information that could endanger patient anonymity. The CDM relies on Standardized Vocabularies and attempts to reuse existing vocabularies where it can. Furthermore, to prevent data loss, the CDM stores original patient source codes.
The CDM itself does not require a specific technology to work with the data stored in this standard. As a result of this, all versions of the CDM are backwards compatible Even more the CDM is scalable for data processing and analysis
The CDM is person centric meaning tha all clinical Event tables are linked to thePERSON
table. Tables that need to be manipulated by users are stored in the "Results" schema. The two tables in the "Results" schema are: COHORT
and COHORT_DEFINITION
. The data types defined in these tables are ANSI SQL:
VARCHAR
INTEGER
FLOAT
DATE
DATETIME
CLOB
All content in the OMOP CDM is a concept. They form relationships with one another in a hierarchical manner. This concept information is stored in the following tables:
CONCEPT
- the concepts in the CDM
CONCEPT_RELATIONSHIP
- the relationships between concepts
CONCEPT_ANCESTOR
- hierarchical concept relationships; see Exploring Ancestors and Descendants of a Concept
| CONCEPTID | 313217 | | CONCEPTNAME | Atrial Fibrilation | | DOMAINID | Condition | | VOCABULARYID | SNOMED | | CONCEPCLASSID | Clinical Finding | | STANDARDCONCEPT | S | | CONCEPTCODE | 4936004 | | VALIDSTARTDATE | 01-Jan-1970 | | VALIDENDDATE | 31-Dec-2099 | | INVALID_REASON | |
CONCEPT_ID
is used internally by the OMOP CDM to reference a specific concept
STANDARD_CONCEPT
designates if a concept is standard within the OMOP CDM: "S" represents it is standard, "C" represents its classification, and no value means that concept is not used inside the OMOP CDM
Includes:
Drug Products
Drug Ingredients
Drug Classes
One can query drug concepts by name easily in OHDSI tools.
The OMOP CDM is implemented to help with Big Health Data collection. We use Big Health Data because it:
Enables research
Backs effective healthcare
Manages healthcare claims
The CDM is optimized for typical observational research purposes such as
Identifying patient populations
Characterize populations
Determining effects of population-based interventions
Organize data for analysis
Zelko, Jacob. CDM Standardized Tables. https://jacobzelko.com/02082021170353-cdm-standardized-tables. February 8 2021.
[1] J. M. Overhage, P. B. Ryan, C. G. Reich, A. G. Hartzema, and P. E. Stang, “Validation of a common data model for active safety surveillance research,” J. Am. Med. Inform. Assoc., vol. 19, no. 1, pp. 54–60, 2012.