Effects of duration of visits on COVID-19 infection using a multi-agent simulation and lean concept

In the COVID-19 pandemic, social distancing become a critical issue. People need to avoid spending time in crowded places. However, some activities cannot be postponed such as an appointment in a hospital. For geriatric care, there are many processes that mean elderly patients need to spend a long time. While they also have a higher risk of serious illness from COVID-19 in a limited space. To decrease time spent, this research aims to improve the case study in Thailand by using value-added analysis and the lean concept with the ECSR technique. Besides, an analysis of the effects of the duration of patient visits on the infection is presented by using a multi-agent simulation. The result presents that the duration of patient visits is decreased by 12.82% from the current operation. The simulation also declares that if the duration is decreased, the number of COVID-19-infected patients is significantly decreased.