Visualization of information on drug prices from ANVISA'S open database with the aid of information network analysis
Keywords:
Information visualization, Analysis of information networks, Knowledge discovery, Data science, Information Science, AnvisaAbstract
It investigated and revealed relationships between variables from Anvisa's open database on drug prices. It used a qualitative and applied methodology, with 26,310 records corresponding to the period from 2017 to 2021. With the knowledge discovery method supported by complex network analysis techniques and with the support of appropriate software, it was observed that the drugs most produced by Registered laboratories are those with the red stripe, while the black stripe drugs have more limited production and demand due to restricted use. There was also a high production of therapeutic classes in which the cost is around R$100, suggesting that most laboratories target classes C and D. In addition, only one laboratory produces all drugs with a cost of production above 1 million reais. However, more efforts are needed in the analysis of the database to identify other relationships between the variables. It was also observed that elements from both areas, Data Science and Information Science were important for the development of the research, such as the interdisciplinary aspect, the ARS techniques and the vocation of commitment to efforts aimed at solving real problems in society.
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