Clinical Architecture

SNOMED CT is being used to define evaluation criteria for concept-based rule logic and understand potential use cases for the derivation of actionable clinical insights through alerts/reminders, cohort identification, and clinical documentation improvement.

The ability to understand clinical context for patients and populations rests on our understanding of clinical terminology in a variety of health information systems. SNOMED CT is foundational to our terminology infrastructure that enables both real-time concept detection from free text as well as real-time computation against clinical data sources in a way that adds value to an existing body of knowledge.

The following are use cases for this approach: Location: Okehampton, United Kingdom 

• Detection of clinical concepts in unstructured text and conversion to SNOMED CT

• Alerting of evidence-based interventions in EHR workflows that reduce mortality, readmissions, and cost

• Identification of patient cohorts to clinical trial enrolment

• Detection of undocumented diagnoses to improve clinical documentation and to complement population health efforts