Pictogramas para o uso racional de medicamentos (URM): interpretações da população e descrições de inteligências artificiais.

Abstract

Pictograms are graphic symbols used to facilitate communication, therefore, they are useful in guidance on the safe and effective use of medicines, especially for users with difficulties in understanding. This work aimed to describe the evidence regarding understanding of pictograms and potential for improving this tool, by through Artificial Intelligence (AI). To this end, a review of the literature on the integrative type, through the search for references published in the last 10 years, in databases: ScieLo, PubMed, MedLine and LILACS, using the indexers: pictograms, medicine pictograms, health pictograms, understanding pictograms and use of pictograms, artificial intelligence, and artificial intelligence in pharmaceutical care, with the corresponding descriptors in English, answering the following question: “How does the population interpret pictograms?” Additionally Microsoft Azure and DALL-E artificial intelligence were used to describe and redraw the pictograms respectively. The results demonstrated the importance of the use of pictograms in the rational use of medicines, as well as the main weaknesses regarding the interpretation of some images by their users, which are generally related to advancing age, lower levels of education and occupation. This research highlighted the possibility of using AI, which demonstrated its competence in redesigning pictograms in an improved way, making them more effective in non-verbal language. Aptitude is based on the capacity of intelligence artificial objects used to analyze data and visual patterns, which allows the creation of clearer and more impactful graphic representations. Therefore, it is confirmed that the use of pictograms can optimize the meaning of verbal language, as a system supplementary communication to pharmaceutical practice, especially to people belonging to a group with weaknesses and/or gaps in learning, but which may also be subject to misunderstanding by its users, thus requiring improvement, through new pictogram design tools, which improve its interpretation and function through artificial intelligence.