DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-2 ( Feb, 2023 ) | |||||||||
Paper Title |
SHSB: A Semantic Integration Model for Big Healthcare Data in Saudi Arabia | |||||||||
Author Name |
Samar M Alqhtani, Asmaa Alrayzah | |||||||||
Affilition |
1,2College of Computer Science and Information Systems | |||||||||
Pages |
50-53 | |||||||||
Abstract |
In recent years, the continuous growth of technologies in all areas led to various and tremendous applications. According to the rapidly spreading of applications, a huge amount of data is created. That data called big data. The generation of different types of data from many various sources caused heterogeneity in data, which is one challenge to integrate it. So, there is a need to support the integration among data and utilize it. One field of heterogeneity in data is a healthcare data. The big healthcare data does not only look much bigger but also much more challenging to handle and process. The big healthcare data in KSA has primary sources for data. These recourses are public, clinical, wearable, genomic data, social media, Electronic Healthcare Records (EHR), and imagine health information. Each one of them needs specific technologies to hand and process. Integrating the healthcare data will help in decision making, and will help stakeholders such as: patient, family, nurses, parents, and who produce the care for patient. In this research, we proposed a semantic integration model Saudi-Healthcare Semantic Bridge (SHSB), with high scalability to integrate the heterogeneity of public and clinical (EHRs) data. After that, we evaluated the proposed model by comparing it with the related works. Keywords - Big Healthcare Data, Heterogeneity, Data Integration, Interoperability, Scalability | |||||||||
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