{"title":"医疗保健业务系统的市场情报模型","authors":"Janaina Navarro Cos t a","doi":"10.34117/bjdv10n6-025","DOIUrl":null,"url":null,"abstract":"Health in Brazil is an old problem that has worsened with the Covid-19 pandemic and resources have become scarce. Studying market behavior and growth trends has become fundamental. This research aims to build a Market Intelligence Model, based on information obtained from official secondary data sources, using the Fuzzy logic methodology. The concepts of Data Analytics and Decision Making applied in the Health Area are addressed. The model was developed in RSdudio software, stored in SQL Database, and presented in Power BI and QGis. The model was validated in private health units in the southeast and northeast regions of Brazil for the treatment of chronic diseases, mainly in the areas of nephrology and oncology. The results were obtained, and it can be concluded that the proposed model has become very effective in estimating the growth of chronic diseases.","PeriodicalId":504671,"journal":{"name":"Brazilian Journal of Development","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A market intelligence model for the health care business system\",\"authors\":\"Janaina Navarro Cos t a\",\"doi\":\"10.34117/bjdv10n6-025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Health in Brazil is an old problem that has worsened with the Covid-19 pandemic and resources have become scarce. Studying market behavior and growth trends has become fundamental. This research aims to build a Market Intelligence Model, based on information obtained from official secondary data sources, using the Fuzzy logic methodology. The concepts of Data Analytics and Decision Making applied in the Health Area are addressed. The model was developed in RSdudio software, stored in SQL Database, and presented in Power BI and QGis. The model was validated in private health units in the southeast and northeast regions of Brazil for the treatment of chronic diseases, mainly in the areas of nephrology and oncology. The results were obtained, and it can be concluded that the proposed model has become very effective in estimating the growth of chronic diseases.\",\"PeriodicalId\":504671,\"journal\":{\"name\":\"Brazilian Journal of Development\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Journal of Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34117/bjdv10n6-025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Journal of Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34117/bjdv10n6-025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
巴西的卫生问题是一个老问题，随着 Covid-19 大流行而恶化，资源变得稀缺。研究市场行为和增长趋势已成为基础。本研究旨在根据从官方二手数据来源获得的信息，利用模糊逻辑方法建立一个市场情报模型。数据分析和决策制定的概念应用于健康领域。该模型由 RSdudio 软件开发，存储在 SQL 数据库中，并在 Power BI 和 QGis 中展示。该模型在巴西东南部和东北部地区的私人医疗单位进行了验证，用于治疗慢性疾病，主要是肾病和肿瘤方面的疾病。结果表明，所提出的模型在估算慢性病增长方面非常有效。
A market intelligence model for the health care business system
Health in Brazil is an old problem that has worsened with the Covid-19 pandemic and resources have become scarce. Studying market behavior and growth trends has become fundamental. This research aims to build a Market Intelligence Model, based on information obtained from official secondary data sources, using the Fuzzy logic methodology. The concepts of Data Analytics and Decision Making applied in the Health Area are addressed. The model was developed in RSdudio software, stored in SQL Database, and presented in Power BI and QGis. The model was validated in private health units in the southeast and northeast regions of Brazil for the treatment of chronic diseases, mainly in the areas of nephrology and oncology. The results were obtained, and it can be concluded that the proposed model has become very effective in estimating the growth of chronic diseases.
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