Epidemic Healthcare Kiosk

D. Jagannath, D. Dolly, J. Peter

OAI: oai:igi-global.com:313912 • DOI: 10.4018/IJEHMC.313912

One of the most difficult tasks for the physicians is to analyze, manage, and plan suitable diagnoses and treatments for society, especially in an epidemic situation like Corona virus disease (COVID-19). Hence, the mortality rate shoots up. The ultimate reason for such pathetic situation is due to large mass of people being infected, lack of physicians and testing staff, and the threat of physicians themselves being infected while testing patients. This article proposes a solution to tackle this major issue worldwide. This article portrays the methodology of an IoT-interfaced epidemic healthcare kiosk (EHK)-intelligent monitoring system to plan and manage epidemics. The EHK is a non-invasive data acquisition system that consists of several sensors that can record the physiological measurements of the EHK user. The measured parameters are computed using quantum machine learning techniques. The proposed ideology can reduce the mortality rate, control the epidemic, and moreover, provide safety to citizens and physicians.