COVID-19 Data Coding using SNOMED CT

As the global terminology for health, SNOMED CT can serve as a common language for recording, sharing, integrating and analysing COVID-19 related data. This guide provides practical examples of SNOMED CT subsets that can be used to code a variety of COVID-19 related data elements, such as symptoms, risk factors and test results. These SNOMED CT subsets can be adapted to meet local requirements for healthcare service delivery, pandemic surveillance, international collaboration and retrospective data analysis. A set of computable SNOMED CT subset artefacts also accompanies this guide.

The primary focus of the guide is to provide example SNOMED CT subsets for data elements covering the following key areas: provider and facility details, patient demographics, clinical assessment, tests and procedures, and treatment and education. These subsets provide examples of SNOMED CT concepts that may be used to code data elements in national reporting requirements, as part of a healthcare data standard (for example, a HL7 FHIR profile or openEHR archetype), or a newly developed information model (data set).

Main sections:

· Coding COVID-19 Related Data

· Mapping to ICD-10

· Appendix A: Example Subsets