Clinical Terminology for Personalized Medicine: Difference between revisions
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and LOINC Observables in service of genomic medicine | == Deploying a common concept model for SNOMED CT and LOINC Observables in service of genomic medicine == | ||
== James R Campbell MD == | |||
The inventory of ONC clinical terminologies specified by the Interoperability Standard Advisory includes LOINC for laboratory tests and SNOMED CT for clinical conditions. LOINC codes have been developed for a large number of molecular pathology tests but LOINC employs a concept model that is underspecified relative to the complexity of genomic data; therefore there is no computable relationship between test results and diagnostic conclusions. SNOMED CT is to be employed for coded observation results but currently has a paucity of content in the realm of personalized medicine. | The inventory of ONC clinical terminologies specified by the Interoperability Standard Advisory includes LOINC for laboratory tests and SNOMED CT for clinical conditions. LOINC codes have been developed for a large number of molecular pathology tests but LOINC employs a concept model that is underspecified relative to the complexity of genomic data; therefore there is no computable relationship between test results and diagnostic conclusions. SNOMED CT is to be employed for coded observation results but currently has a paucity of content in the realm of personalized medicine. | ||
Revision as of 15:11, 30 May 2016
Deploying a common concept model for SNOMED CT and LOINC Observables in service of genomic medicine
James R Campbell MD
The inventory of ONC clinical terminologies specified by the Interoperability Standard Advisory includes LOINC for laboratory tests and SNOMED CT for clinical conditions. LOINC codes have been developed for a large number of molecular pathology tests but LOINC employs a concept model that is underspecified relative to the complexity of genomic data; therefore there is no computable relationship between test results and diagnostic conclusions. SNOMED CT is to be employed for coded observation results but currently has a paucity of content in the realm of personalized medicine.
For the past 9 years IHTSDO and Regenstrief have been developing a shared concept model which is designed to unify the domain of Observable entities and support interoperation between the EHR, clinical laboratories and public health. Application of a shared concept model in genetics could support interoperation of data between clinical Observables, Observation results and Conditions.
This presentation will explain the convergent concept model for Observables, discuss the application of the model to genomic observations and conditions, and present an applied project in terminology development for molecular pathology in cancer medicine underway at the University of Nebraska.
