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 ‘Fast Healthcare
Interoperable Resource’ implementation guide, we introduce an
ontology-based standard questionnaire to overcome these shortcomings and
describe patient “journeys” in coordination with the World Health
Organization. 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.