巴西公共卫生语义数据集成

Debora Lina Ciriaco, Alexandre Pessoa, L. Salvador, Renata Wassermann
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引用次数: 0

摘要

语义信息的缺乏是一个巨大的挑战,即使在医疗保健等以既定术语为特征的上下文驱动领域也是如此。在这里,语义数据集成是提供精确信息和回答以下问题的解决方案:圣保罗市因先天性梅毒而被诊断为先天性异常的新生儿的护理途径是什么?本项目将使用语义数据集成技术,即基于本体的数据集成,整合巴西圣保罗市的三个卫生数据库:死亡率、活产和医院信息系统。预计公共卫生数据库的整合将有助于绘制患者护理路径,预测公共资源需求并最大限度地减少不必要的支出。
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Semantic Data Integration for Public Health in Brazil
The lack of semantic information is a big challenge, even in context-driven areas like Healthcare, characterized by established terminologies. Here, semantic data integration is the solution to provide precise information and answers to questions like: What is the care pathway of newborns diagnosed with a congenital anomaly in consequence of congenital syphilis in the city of Sao Paulo? This project will use a semantic data integration technique, ontology based data integration, to integrate three health databases from the city of Sao Paulo - Brazil: mortality, live births and hospital information system. It is expected that the integration of public health databases will help to map patient care pathways, predict public resource needs and minimize unnecessary spending.
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