Interoperable medical data: The missing link for understanding COVID-19.
Ontology highlight
ABSTRACT: Being able to link clinical outcomes to SARS-CoV-2 virus strains is a critical component of understanding COVID-19. Here, we discuss how current processes hamper sustainable data collection to enable meaningful analysis and insights. Following the 'Fast Healthcare Interoperable Resource' (FHIR) implementation guide, we introduce an ontology-based standard questionnaire to overcome these shortcomings and describe patient 'journeys' in coordination with the World Health Organization's recommendations. We identify steps in the clinical health data acquisition cycle and workflows that likely have the biggest impact in the data-driven understanding of this virus. Specifically, we recommend detailed symptoms and medical history using the FHIR standards. We have taken the first steps towards this
SUBMITTER: Bauer DC
PROVIDER: S-EPMC8359419 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
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