Table 1 Clinical data used for input to OMOP2OBO mapping algorithm.

From: Ontologizing health systems data at scale: making translational discovery a reality

OMOP domain and vocabulary

Data wavea

Concept level

Concepts

Labels

Synonyms

Condition

SNOMED-CTb

Standard Concepts Used in Practice

Concept

29,129

29,129

86,630

  

Ancestor

1,421,104

1,389,525

N/A

 

Standard Concepts Not Used in Practice

Concept

80,590

80,590

194,264

  

Ancestor

3,458,072

3,393,343

N/A

Drug Ingredient

RxNormc

Standard Concepts Used in Practice

Concept

1693

1693

1865

  

Ancestor

1697

1696

N/A

 

Standard Concepts Not Used in Practice

Concept

10,110

10,110

11,235

  

Ancestor

10,578

10,578

N/A

Measurement

LOINCd

Standard Concepts Used in Practice

Concept

1606

1606

41,917

  

Ancestor

20,784

21,196

N/A

 

Standard Concepts Not Used in Practice

Concept

2477

2477

73,612

  

Ancestor

23,457

24,306

N/A

  1. OMOP Observational Medical Outcomes Partnership.
  2. aConcepts were mapped in two data waves according to whether or not they had been used at least once in clinical practice (i.e., Concepts Used in Practice) or not (i.e., Concepts Not Used in Practice).
  3. bThe Systematized Nomenclature of Medicine—Clinical Terms (SNOMED-CT) is the Observational Medical Outcomes Partnership (OMOP) standard vocabulary used for Condition Occurrence concepts.
  4. cRxNorm is the OMOP standard vocabulary used for Drug Exposure Ingredient concepts.
  5. dThe Logical Observation Identifiers, Names and Codes (LOINC) is the OMOP standard vocabulary used for Measurement concepts.