Abstract
Radiology medicine is one of the fields experiencing extremely rapid development in modern medicine. Among these fields, computed tomography (CT) plays a crucial role in medical clinical diagnosis. However, computed tomography have high medical costs due to expensive medical equipment, the use of contrast agents, professional radiographers operating the equipment, and the need for radiologists to interpret reports. In the current medical environment where Taiwan implements a global budget system, the rationality of the number of computed tomography examinations has always been a focus of concern. In this study, we employed Royce's waterfall model to develop a cloud-based and mobile bed dynamic model system. The primary research objective was to provide supervisors with the latest data analysis model for CT usage.
Recommended Citation
Lin, Peiyi and Chang, Han Cheng, "Data Analysis Model for Computed Tomography Usage" (2023). ICEB 2023 Proceedings (Chiayi, Taiwan). 9.
https://aisel.aisnet.org/iceb2023/9