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A framework for analyzing publicly available healthcare data

机译:分析公共供应保健数据的框架

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Many government agencies worldwide are releasing public datasets about the services provided in healthcare, such as Medicare in the US. These datasets can be queried by multiple classes of users, including hospitals, patients, physicians and policy makers. However, to realize the true value of the information present in these datasets, appropriate analysis, including classification and clustering needs to be performed. Additional insight can be gained by combining the healthcare data with other data sources such as demographics and epidemiology. We provide an analytics framework based on open-source tools that facilitate the exploration of these datasets. We illustrate our framework by providing a detailed analysis of physician and hospital ratings data. Our technique should prove valuable to hospital administrators and policy makers.
机译:全球许多政府机构正在释放关于医疗保健所提供的服务的公共数据集,例如美国的Medicare。这些数据集可以由多个类别用户查询,包括医院,患者,医生和决策者。然而,为了实现这些数据集中存在的信息的真实值,需要执行适当的分析,包括分类和聚类。通过将医疗保健数据与其他数据来源组合,例如人口统计数据和流行病学等其他数据来源,可以获得额外的洞察力。我们提供基于开源工具的分析框架,便于探索这些数据集。我们通过提供医生和医院评级数据的详细分析来说明我们的框架。我们的技术应该向医院管理人员和决策者证明有价值。

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