ABSTRACT
This paper describes the effectiveness of learning analytics on various academic endeavors. Two scenarios are discussed. The first one considers the academic performance while the second one considers diversity-related issues on the studies in order to ensure the evaluation of online classes during COVID-19 pandemic. Though the impact of learning analytics in academic decision making is vast, nevertheless, it can be used to improve learning environment and address key issues as experienced by new entrants in a medical school. The present work details the key academic and non-academic factors and suggests some strategies to minimize the impact of academic procrastination and hence improve the retention rate of sophomore medical students. © 2022 IEEE.
ABSTRACT
This paper describes the evolving role of robotics in healthcare and allied areas with special concerns relating to the management and control of the spread of the novel coronavirus disease 2019 (COVID-19). The prime utilization of such robots is to minimize person-to-person contact and to ensure cleaning, sterilization and support in hospitals and similar facilities such as quarantine. This will result in minimizing the life threat to medical staff and doctors taking an active role in the management of theCOVID-19 pandemic. The intention of the present research is to highlight the importance of medical robotics in general and then to connect its utilization with the perspective of COVID-19 management so that the hospital management can direct themselves to maximize the use of medical robots for various medical procedures. This is despite the popularity of telemedicine, which is also effective in similar situations. In essence, the recent achievement of the Korean and Chinese health sectors in obtaining active control of the COVID-19 pandemic was not possible without the use of state of the art medical technology.
ABSTRACT
COVID-19 has literally ravaged the entire world. People from all walks of life are badly affected because of compulsory lockdown around the world. Timely diagnosis is a problem as there is no single test that can achieve the highest acceptable sensitivity. Some of the tests are indeed costly and footing the bill by the governments can cause a tremendous load on the Treasury. As it stands, the current tests are beyond patient means and, thus, the patient would never have it performed. Lastly, there is no consensus as to whether everyone should be tested for COVID-19 and not based on presence of clinical features. Unfortunately, since the disease has been declared a pandemic, all should be considered to be infected unless provenother-wise by the tests that are performed.