Advanced usage of computational methods in public health has increased in the last decade. Healthcare decision-makers are highlighting on the functional implementation of advanced technology in the system. During the COVID-19 pandemic era, Electronic Health Records (EHR) of the infected patients has created huge biomedical data for infection biology researchers. Depending on the pattern of infection, in respect to its pathophysiology and demographic array, innovative public health management protocols were applied in several healthcare centers and hospitals to tackle huge number of infected patients in highly populated counties like India. In fact, healthcare units have developed novel methods to combat sudden pandemic threats. Expert trained medical taskforce with rigorous safety measures have worked as the frontliners in this situation. Our research broadly includes the analysis of novel healthcare models, which are being designed and proposed to manage excessively large number of patients mainly in the urban area. We propose application of fundamental life-saving clinical policies and effective healthcare human resources in terms of pandemic management with a hybrid mode (digital and personal) of diagnostic-therapeutic processes in healthcare centers and along with preventive self-treating initiatives.