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An intelligent electronic prescription ontology framework for healthcare interoperability

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dc.contributor.supervisor Sigwele, Tshiamo
dc.contributor.supervisor Galani, Malatsi
dc.contributor.author Chinatu, Okon Eunice
dc.date.accessioned 2025-08-25T10:23:05Z
dc.date.available 2025-08-25T10:23:05Z
dc.date.issued 2023-01
dc.identifier.citation Chinatu, O.E. (2023) An intelligent electronic prescription ontology framework for healthcare interoperability, Masters Theses, Botswana International University of Science and Technology: Palapye en_US
dc.identifier.uri https://repository.biust.ac.bw/handle/123456789/643
dc.description Thesis (MSc Information Systems)--Botswana International University of Science and Technology, 2023 en_US
dc.description.abstract Lack of interoperability across healthcare systems has led to high medical costs, delays in healthcare service processes, significant medical errors, and more preventable deaths. Bernes Lee introduced semantic web technology in 2006 to enable communication between different systems and machines with well-defined meanings or semantics using ontologies. The advent of Electronic Healthcare Record (EHR) frameworks such as semantic Electronic Prescription (e prescription) has been a key turning point in the healthcare domain with the potential to solve healthcare interoperability issues. However, the existing semantic eprescription frameworks have significant limitations, including being proprietary, requiring installation, not web-based, lacking medical error detection and healthcare monitoring, being platform-dependent, incompatibility with other systems, and lacking robust framework evaluation. This research proposes an open-source Intelligent Electronic Prescription Ontology (IEPO) framework for healthcare interoperability to bridge the gaps in existing semantic prescription frameworks. A robust ontology development methodology called Methontology was adopted to develop ontologies for the stand-alone clinic and pharmacy healthcare systems to demonstrate their interoperability. Prescription medical errors like drug interactions are automatically detected during prescribing using Semantic Web Rule Language (SWRL). Healthcare monitoring of vital signs is achieved and demonstrated using SPARQL queries. The proposed IEPO framework was evaluated for any ontology pitfalls regarding consistency, completeness, and conciseness. The results show that non of the ontology pitfalls were detected in the final ontology. IEPO was also evaluated for domain knowledge coverage via the corpus approach and performed 76% better than existing frameworks. IEPO also detected prescription medical errors with higher accuracy than related works. The proposed framework demonstrated seamless healthcare system interoperability between a doctor, pharmacist, and patient by accurately answering all competency questions using SPARQL queries. In addition, the IEPO framework is 12% more usable than related works, with an 87% usability score rating. The IEPO ontology is freely available to download online (shorturl.at/dqGY1) en_US
dc.description.sponsorship Botswana International University of Science and Technology (BIUST) en_US
dc.language.iso en en_US
dc.publisher Botswana International University of Science and Technology (BIUST) en_US
dc.subject Interoperability en_US
dc.subject Electronic Prescription (e-prescription) en_US
dc.subject Intelligent Electronic Prescription Ontology (IEPO) en_US
dc.subject Ontologies en_US
dc.subject Semantic Web en_US
dc.subject Semantic Web Rule Language (SWRL) en_US
dc.subject SPARQL queries en_US
dc.subject Medical errors en_US
dc.subject Usability en_US
dc.subject Methontology en_US
dc.title An intelligent electronic prescription ontology framework for healthcare interoperability en_US
dc.description.level msc en_US
dc.description.accessibility unrestricted en_US
dc.description.department cis en_US


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