WHO SMART Trust
1.1.5 - CI Build
WHO SMART Trust, published by WHO. This guide is not an authorized publication; it is the continuous build for version 1.1.5 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/WorldHealthOrganization/smart-trust/ and changes regularly. See the Directory of published versions
A Trust Domain consists of:
At the current time, the following content profiles are recognized through the WHO's Global Digital Health Certification Network (GDHCN):
Currently, the following trust domains are available:
The Digital Documentation of COVID-19 Certificates (DDCC) published in August 2021 and similar guidance for test results (https://www.who.int/publications/i/item/WHO-2019-nCoV-Digital_certificates_diagnostic_test_results-2022.1) published in March 2022 serve as the reference for the associated FHIR Implementation Guide. This Implementation Guide (IG) acts as the computable representation of the core data elements in the published guidance, mapped to standard terminologies. These data models, in the form of FHIR logical models, and terminologies, in the form of FHIR value sets, are the basis for interoperability between the various credential formats. The IG provides FHIR Structure Maps and Concept Maps to define transformations between supported credential formats and the core data set, which allows business rules to execute against a common set of data elements.
At the current time, the following content profiles are recognized through the WHO's Digital Documentation of COVID Certificates (DDCC):
It can be difficult to find the "source of truth" specifications for the certificate formats that are mapped to the DDCC core data sets. The references contains links to the best known documentation for each of the certificate formats listed above.
The implementation guide includes a machine-readable representation of WHO guidelines for verifiable IPS during pilgrimage. It explicitly encodes computer-interoperable logic, including data models, terminologies, and logic expressions, in a computable language to support implementation of IPS during pilgrimage usage scenario.