Medical practitioners rely on point-of-care decision support systems to accelerate patient-care analysis and scale treatments for global pandemics. The utility of these systems is based on the vast quantities of healthcare knowledge being analyzed. This knowledge should be accessible, reusable, offer a sturdy foundation for research, and encompass everything from long-standing maladies like peanut allergies to emergent ones like COVID-19. Ontologies - evolving conceptual data models with standardized concepts - can facilitate the exchange of biomedical knowledge and scaling healthcare knowledge for real-time decision support.
The specificity of the knowledge in biomedical ontologies is ideal for counteracting the current epidemic’s effects by providing practitioners with up to the minute information about the right things to do, the best practices, and managing patients with this virus.
Consequently, employing an ontological approach for point-of-care decision support offers manifold benefits. Online ontology repositories provide a central means of sharing knowledge, concepts, and terminology about biomedical, environmental, agricultural, or other domain-specific circumstances. Ontologies offer a launching point for future conceptual applications without creating conceptual knowledge from scratch and leverage the efforts, energy, and resources of other scientists involved in like-minded pursuits—like eliminating the current epidemic.
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