In-Heal: Intelligent Healthcare Architecture using AI-based Priority Scheduling Mechanism in vSDN-driven Edge Network
Deborsi Basu, Sricheta Parui, Tanvi Choudhury, Uttam Ghosh · 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) · 2021
The advancements of Edge Computing, Artificial Intelligence, vSDN (virtualized Software Defined Networking) are significantly boosting up the upcoming smart healthcare systems, but the advanced medical facilities are severely affected by the lack of proper systematic architectures. The chronological up-gradation of the latest technology is not amalgamated according to the existing infrastructure and that is why the fatal cases of medical negligence can not be overlooked, specially during any pandemic or epidemic situation. In this work, we have proposed a novel AI-driven network architecture that will proficiently improve the supervision systems inside smart medical care units. vSDN-driven edge servers are responsible for continuous monitoring of patient inflow and outflow inside any hospital and simultaneously provide the health status of the patients using an AI-based Risk Factor (RF) Scale. An intelligent priority scheduling mechanism is designed to selective filter the health conditions and identify the critical patients with immediate medical assistance. Our analysis shows that the proposed method provides better patient-to-doctor mapping using various available media and significantly reduce the cases of medical negligence inside any medical care facility. This dynamic architecture can be easily up-gradable even for the multi-vendor scenario. Our approach is also efficient enough to control any sudden surge of cases that the entire world has recently witnessed due to COVID-19. We have used random real-time patient flow data to validate our claims.