Remote Patient Monitoring during pandemic caused by COVID-19 using Semantic Web Technologies

Abstract

Abstract Data integration facilities along with decrease in the quantified operational health information occurs due to stuck in hospital admission. Exchanging of information resources has an immense significance due to 3 critical capabilities. These can be enlisted as information swap over through electronic connectivity, interoperability, and compromising under prescribed medication, in which automated systems are involved to solve pathological discrepancies. Along with all these concern about patient safety is taken care of by this startegy. The substantial awareness can be resulted in computational methods and tools which are quite capable for rendering guidance to health care services more resourcefully, which further leads the advancement and execution of intellectual systems within the therapeutic domain. Exchanging of data in the Web can be complies with Resource Description Framework (RDF) and ontology’s. RDF has the capability of capturing information content instead of considering the syntax. Inferential support and transformational approach is feasible by deploying RDF. Facilitation of data by evolution and merging phenomenon can be utilised by the involvement of RDF though schemas variation exists. Semantic interoperability is achieved either by applying standardisation or by translation. Though standardisation is quite acceptable but due to time annihilation transformation in lieu of modernisation is acceptable more. Strategically, realistic approach of semantic interoperability comprises both standards and translations. Conceptual classes, their interrelations, instances and axioms exist in Ontology.