Leveraging Ontologies for Data Integration in Medical Processes
Year: 2025
Type: article
Abstract: This research addresses challenges in medical intelligence by developing a hybrid model that integrates ontology-based and virtual data integration techniques. The model aims to enhance the medical intelligence process through a database system designed to store medical records and software that is user-friendly, flexible, adaptive, intelligent, agile, and capable of automatic integration and analysis of medical data. By consolidating patient medical records from multiple hospitals, the system forms a comprehensive combinational resource accessible to authorized physicians. Object-Oriented Analysis and Design Methodology (OOADM) guided the system’s design, ensuring robust integration and improved decision-making support for healthcare practitioners managing critical health issues in real time
Authors: Okoro Amarachi, Blessing, Eze Jonathan, Chibuzor, Agbo Faith, Chinyere
Institutions: Abia State Polytechnic, Imo State University
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7079621840
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