SNOMED CT Data Analytics Tools enable users to query over clinical data that contains SNOMED CT codes to take advantage of the rich semantic definitions included in SNOMED CT.
One of the most important benefits of implementing SNOMED CT is the great power it provides to data analytics. This section highlights a set of tools on how data analytics processes can benefit from the use of SNOMED CT and the capabilities provided by the use of an ontology.
Data Analytics using SNOMED CT can be used in different scenarios, and applying different techniques:
Implementing analytics in these scenarios requires defining a process that starts with obtaining sets of SNOMED CT ConceptIds using one of the techniques described, and then matching with fields in information stored in clinical repositories.
SNOMED International has created a demonstration tool for Data Analytics, based on synthetic data to avoid any privacy risks. This tool is used in seminars and workshops to demonstrate the capabilities of SNOMED CT for analytics connected to a virtual Electronic Health Records system.
The tools are open-source and are available at: https://github.com/IHTSDO/health-data-analytics
In this video the tool is demonstrated live:
The Expression Constraint Language is a fundamental component of the data analytics process, converting clinical requirements into computable queries that select a set of concepts with a specific meaning. Some examples of implementations, which support the SNOMED CT Expression Constraint Language, are listed below.
|Snowstorm, SNOMED International
SNOMED CT Browser, SNOMED International
(see "Expression Constraint Queries" tab)
|CSIRO Ontoserver Expression Constraints
|Hermes Terminology Server, UK
|Snow Owl Terminology Server, B2i Healthcare
|SNQuery, Veratech, Spain
|PHAST FHIR Terminology Server, France
(available for testing via CSIRO's value set tool)
|Terminz, New Zealand
|WCI SNOMED Terminology Server, West Coast Informatics