Page History
...
The commonly used standards representing basic structured clinical patient data are represented by a number of different "coding schemes" — ICD-9, ICD-10, CPT-4, HCPCS, SNOMED CT, LOINC, RxNorm, UMLS, and VA Classes. See Appendix B for further information.
How does it work? How does the i2b2 ontology make the patient data queryable?
...
The i2b2 database-loading modules come with at least 3 sets of "metadata" or ontology trees. These are the demo ontology, the ACT ontology, and the ACT-on-OMOP ontology.
| Name | Description | Target Data Model |
|---|---|---|
| i2b2 Demo Ontology | default metadata from i2b2 authors | i2b2 Common Data Model (star-schema); default CRC demo database has matching concepts |
| ACT Ontology | ENACT project | i2b2 Common Data Model (star-schema); ACT CRC demo database has matching concepts |
| ACT-on-OMOP Ontology | ENACT project | i2b2 Common Data Model (star-schema), but modified with views into the OMOP Common Data Model; the CRC database loaded with SYNPUF demo data has matching concepts |
| Info | ||
|---|---|---|
| ||
A Common Data Model (CDM) is a way of organizing data into standardized structures and observational content to enable alignment of patient data across multiple organizations. Each i2b2 ontology leverages the i2b2 Common Data Model (CDM), which is based on a "star schema": instead of separate tables for diagnoses, medications, and other data types, all patient observations are stored in a single "fact" table, and the ontology describes the different codes that are placed in this fact table. |
The table below outlines the domains and coding schemes included in each ontology.
...
