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  • Point of care analytics, which benefits individual patients and clinicians. This includes historical summaries, decision support and reporting.
  • Population-based analytics, which benefits populations. This includes trend analysis, public health surveillance, pharmacovigilance, care delivery audits and healthcare service planning.
  • Clinical research, which is used to improve clinical assessment and treatment guidelines. This includes identification of clinical trial candidates, predictive medicine and semantic searching of clinical knowledge.

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Figure 41: Analytics tasks that can benefit from SNOMED CT
Many of these tasks use business intelligence capabilities, similar to those used in other sectors, such as manufacturing, retail and transportation. Business intelligence is the provision of historic, current and predictive views of information. Such services include reporting, online analytical processing (OLAP), data mining, process mining, complex event processing, benchmarking, text mining, predictive analysis and prescriptive analytics. In many cases, a data warehouse is used as the platform on which these services are provided (see section 5.2).
The combination of these business intelligence techniques with the capabilities of SNOMED CT creates new opportunities to improve healthcare delivery.