Ontologies have been shown to play a pivotal role in the organization and management of biomedical information. They deliver formal representations of domain-specific knowledge that establish data integration, standardization, and clinical decision-making .This investigation conduces on several OWL-formatted ontologies, including those related to anatomy (the Fundamental Model of Anatomy FMA), diseases (The Disease Ontology DO), and drugs (Drug Ontology DRON), focusing on their structural composition, evolution, and applications. This review investigates the use of OWL-based biomedical ontologies to enhance clinical information systems and promote seamless data exchange. The findings emphasize the critical role of these ontologies in creating a unified language for medical data, automating reasoning, improving data accuracy, supporting diagnostic and therapeutic processes. The ontologies under scrutiny have been created from terminological conversions or combinations of ontological resources, and their value as tools for clinical data standardization and management is indisputable. The study concludes that the continued development and adoption of OWL-based ontologies will drive important advancements in healthcare technology and medical research.