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:
- Scenarios for Data Analytics
- Point of care, supporting clinician activities, organizing information, etc.
- Population-based analytics, statistical reports, surveillance, etc.
- Clinical research, specific patterns, research candidates, outcomes, etc.
- Data Analytics Techniques
- Subsets, hierarchies
- Description Logic expressions
- ECL - Expressions Constraints Language queries
- Mapping to statistical classifications
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.
Powering Data Analytics with SNOMED CT
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