Information asymmetry in healthcare using decision making technologies in Covid 19.

The healthcare industry has evolved to be one of the largest industries in almost every country due to a popular trigger of Covid-19 mechanism. COVID-19 health services and education are highly relevant because they are fundamental public resources that define the form of society in which we live both before and after the pandemic. The COVID-19 pandemic has exacerbated the already-existing informality in the healthcare sector. Because of the information asymmetry, doctors are often required to identify and treat their patients using heuristics. The use of protocols and solutions that surface insights into care unit workflows ahead of time will eliminate the need for surface-level data and disarm latent biases, resulting in better patient outcomes. The AI based applications are used to monitor records that have been reported, recovered, or expired. Through AI we can track the mutation of any deadly virus or infection in a comparatively faster duration of time and help prevent potential individuals from getting the infection. [ABSTRACT FROM AUTHOR]