The Optimization Algorithm for the Cultivation of Medical Literacy in the Era of Smart Media

Abstract

In the era of intelligent media, society has undergone great development. For example, with the continuous innovation of modern communication technology, the role of individuals has changed, and at the same time, a series of social issues and conflicts have also been triggered. Schools are the main position for talent cultivation, and medical universities are a learning environment dedicated to serving the society. Therefore, training medical graduates in media literacy is crucial. With the advent of the era of intelligent media, scientific research has entered a new stage. Since then, there has been an increasing number of literacy research in the fields of education and medicine. The cultivation of medical literacy (ML) of medical workers conforms to the development needs of the information age. It also prepares for the cultivation of high-quality medical talents. In this paper, an acute sampling of medical staff (MS) in major hospitals in a province is used to analyze the literacy of these MS, and use the training optimization algorithm to evaluate their literacy before and after the implementation of the literacy training program. It is hoped that the research in this paper can make MS face up to their own ML problems to a certain extent, and at the same time improve various social factors that affect the formation of MS literacy to enhance their literacy.