Distribution of ct scanners in the state of Rio de Janeiro: A guiding study for the inclusion of graduates of professional education courses in radiology

Abstract

Computed Tomography (CT) is a diagnostic imaging test that uses X-rays to capture images of internal organs as if they were slices of the body. Once recorded, the images are processed on a computer that provides a detailed analysis of the area to be examined. The objective of the work was to identify the distribution of CT scanners in operation in Rio de Janeiro, with a view to understanding professional education, with regard to the employability of graduates from courses in this branch of radiology. The National Health Surveillance Agency (ANVISA) requires that all diagnostic X-ray devices be registered with the Ministry of Health, in order to allow their traceability. In this way, it is possible to find a list of all CT scanners on the DATASUS website, responsible for controlling national data relating to public health. The methodology was based on a survey of all CT scanners installed in the state of RJ and registered on the DATASUS platform until April 2024. Simultaneously, a spreadsheet was created with the data collected. This spreadsheet contained the following information: establishment, business name, neighborhood, municipality, state, establishment management, existing equipment, equipment in use, SUS and last update. The results obtained through this research showed a total of 766 CT scanners existing in the state of RJ, of which 727 (95%) are in use and 39 (5%) are inoperative. It is concluded that of the 76% of CT scanners operating within municipalities in the state, these are concentrated in Rio de Janeiro, Niterói, Nova Iguaçu, São Gonçalo, Duque de Caxias, Campos dos Goytacazes, Volta Redonda, Belford Roxo, Macaé, São João de Meriti, Petrópolis, Cabo Frio, Itaguaí and Magé. It is considered that municipalities with large numbers of CT equipment advance in better serving the population and create a larger field of work for professionals in this category.

DOI:https://doi.org/10.56238/sevened2024.012-042