Health Ontology Mapper
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Mapping System Comparison:
FeatureHealth Ontology Mapper (HOM)SHRIMPUW Mapping Workbench for HOM (in progress)
Provides Instance Mappingxx (with Ontomapper)
Provides Association Mappingxxx (with Ontomapper)
Integrates with OpenMDR/caDSRxx
Integrates with lexEVS (via caGRID Portal)xx (with Ontomapper running on caGRID)
Generates HOM compatible XML filesxx
Can be used to connect i2b2 to SHRINExxx (with Ontomapper)
Can be used to connect i2b2 to caGRIDxx (with Ontomapper)
Compatible with HL7 CTS IIxxx
Offers support for taxonomiesxxx
Offers support for ontologiesxx
Will eventually provide a GUI for map generationxx
Will eventually provide a GUI for instance map definitionx
Runs in batch before queryxx (with Ontomapper)
Examples:
SourceTargetType of MappingExample
Med Ctr Specific - Drug Names OnlyRxNormInstance MappingNormalization of the name "Avandia"
ICD9 (a specific year)ICD9 (ignoring concept persistence)Association MappingTagging ICD9 data for exposure
Med Ctr SpecificHarvard Taxonomy (CDC Race)Association MappingTagging existing race data for exposure
Med Ctr SpecificHarvard Taxonomy (CDC Race)Instance MappingNormalization of race data
Med Ctr SpecificHarvard TaxonomyAssociation MappingTagging lab data for exposure (does not allow query by value)
Med Ctr SpecificLOINCInstance MappingNormalization of all lab data into LOINC (allows query by value)
Instance Map: Converts the actual data so that query by value is possible (also provides patient counts as well)
Association Map: Tags the location of data in i2b2 so that it can be located and used for the generation of patient counts