Analytics with SNOMED CT may be deployed on a wide range of data sources as summarized in the table below. These data sources are also known as the 'substrate' of the analytics. Please note that data which is not natively coded using SNOMED CT may be transformed using one of the techniques described in section 5 Preparing Data for Analytics. These techniques may be used to transform heterogeneous data recorded using free text or a variety of code systems into SNOMED CT, which can serve as a common reference terminology for analysis.
Table 3.3-1: Direct and indirect substrates for SNOMED CT based analytics
Analytics Substrate | Examples | Coding | Information Model |
|---|---|---|---|
Unstructured free text document | Dictated clinical letter | Natural language | None or informal headings |
Typed discharge summary letter | |||
Structured documents with free text fields | Assessment form | Natural language | Standardized headings and fields |
Discharge summary form | |||
Structured documents with free text and post-coded classification (i.e. added by clinical coders after the clinical event | Discharge summary form with post-coded classification | Classifications (e.g. ICD) | Formal information model (typically simple) |
Structured documents with non-SNOMED CT coding (e.g. proprietary, local or other coding system) | Standalone clinical application using departmental codes | Local code system, controlled vocabulary or legacy clinical terminology | Formal information model |
Enterprise-wide healthcare system using local dictionaries and pick-lists | |||
Electronic patient record using regional coding system (such as UK Primary Care systems) | |||
Structured documents with SNOMED CT content | Cardiology report | SNOMED CT | Formal information model |
GP event summary | |||
'Big data' data store | Data warehouse | Various coding systems | Mixture of both structured and unstructured data |
Data store containing a mixture of substrates |
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