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Databricks > 实例探究 > 通过 Databricks Lakehouse 平台为 CareSource 提供支持,以实现更好的医疗保健
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Lakehouse Empowers CareSource to Streamline Data for Enhanced Healthcare Delivery

技术
  • 分析与建模 - 预测分析
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 建筑物
  • 医疗保健和医院
服务
  • 数据科学服务
挑战
CareSource 是一家快速发展的医疗保健组织,其遗留数据系统面临着无法跟上新成员涌入的挑战。他们必须每天运行原本每月运行的作业,从而导致大量的资源支出。
关于客户
CareSource 是一家全国公认的医疗保健组织,提供以会员为中心的医疗保健保险。它们是最大的医疗补助管理式医疗计划之一,为六个州的超过 200 万会员提供服务。 CareSource 的整体护理模式整合了数据和社会方面,以改善其成员和人群的健康和福祉。
解决方案
CareSource 在 Azure 上实施了 Databricks Lakehouse 平台,以创建一个现代数据平台。他们部署了三层架构,在第一层摄取大量原始数据,并使用 Databricks 笔记本进行转换逻辑。他们利用 IBM 通用医疗保健数据模型并利用 Databricks SQL 进行数据分析。该平台能够自动协调数据和预测模型,以进行主动健康干预。
运营影响
  • The implementation of the Databricks Lakehouse Platform has had a significant impact on CareSource's operations. The company can now automatically reconcile data that flows between it and third-party companies. This has been a huge differentiator for CareSource, as most peers in the industry are unable to do this both from an operating perspective and in terms of the reliability and usability of the data. The company is also in the process of rewriting a predictive model for high-risk pregnancies. By processing data points and setting certain parameters, the company can flag potential high-risk pregnancies and automatically create a workflow for a nurse to do proactive outreach. This would not have been possible without the Databricks Lakehouse Platform. The company is also planning to explore AI and ML to create more robust and accurate predictive models.
数量效益
  • The company can now proactively generate its own invoice dollar amount before actually receiving the invoice, and it matches down to the penny.
  • The company is in the process of rewriting a predictive model for high-risk pregnancies, which will allow for proactive outreach to potential high-risk pregnancies.

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