Virtual data integration for a clinical decision support systems

Intedhar Shakir Nasir (University of Kerbala)
Ayad Hameed Mousa (Senior Lecturer at University of Kerbala)
Sakina M. Ali Alkhafaji (Ministry of Education)
Wafia Shaker Abdul Hussein (University of Kerbala)
Zahraa Razzaq Jasim (University of Kerbala)
Saeed Qasim Ali (University of Kerbala)

International Journal of Electrical and Computer Engineering
Vol 13, No 5: October 2023

Clinical decision support (CDS) supplies clinicians and their patients, and relevant staff with meaningful and timely information intelligently integrated or visualized to enhance health and the health sector. Data is the backbone of decision support systems, especially (clinical) ones. Data integration (either virtual or physical manner) is a powerful technique to manipulate a vast amount of heterogeneous data and prepare it as input for the decision-making process. The difficulties in manipulating data that have a physical data integration technique motivated the decision support developers to tend to data virtualization as a data integration technique. In this paper, a clinical decision support system was developed using the virtual data integration technique. The developed system was evaluated in terms of usability and its capability of providing clinical decision support. The evaluation findings indicate that the proposed system is highly usable and has a positive impact on supporting the clinical decision-making process.