AI 助力凤凰城儿童医院提升患者护理水平
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- DataRobot AI Cloud
- AutoML
- AutoTS
技术栈
- Microsoft Power BI
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
适用行业
- 医疗保健和医院
适用功能
- 质量保证
- 商业运营
用例
- 预测性维护
- 远程病人监护
服务
- 数据科学服务
关于客户
凤凰城儿童医院是美国最大的儿科医疗系统之一。它包括凤凰城儿童医院主院区、凤凰城儿童医院东谷 Dignity Health Mercy Gilbert 医疗中心、四个儿科专科和紧急护理中心、11 个社区儿科诊所、20 个门诊诊所、两个门诊手术中心和六个社区服务相关门诊诊所，遍布亚利桑那州。该系统为儿童和家庭提供了世界一流的住院、门诊、创伤、急诊和紧急护理，已有 38 年多的历史。凤凰城儿童护理网络包括 850 多名儿科初级保健提供者和专家，他们提供 75 多个专科的护理。
挑战
凤凰城儿童医院是美国最大的儿科医疗系统之一。38 年来，它为儿童和家庭提供世界一流的住院、门诊、创伤、急诊和紧急护理。该组织一直走在创新的前沿，被公认为美国顶级儿童医院之一。凤凰城儿童医院希望利用分析来改善临床和运营决策。然而，手动构建一个模型花了大半年的时间。该医疗保健系统知道，有一定比例的患有其他健康问题的儿童实际上可能患有未确诊的营养不良。如果他们能够识别营养不良病例，他们就可以进行干预并影响结果。
解决方案
凤凰城儿童医院利用 DataRobot AI Cloud 实现预测分析自动化，方便业务和 IT 用户使用。该解决方案在本地部署，并与医院的 Microsoft 数据和分析套件（包括 Microsoft Power BI）集成。该项目在几天内就启动并运行。凤凰城儿童医院将 DataRobot AI Cloud 应用于临床和运营应用。他们根据 10 年的医院数据建立了一个综合数据集，并使用建模来识别可能存在营养不良风险的儿童。通过对已识别患者进行后续营养师评估，他们现在每周都会发现几名患者。凤凰城儿童医院还利用 DataRobot 来预测预约未到场的情况，这种情况通常发生在约 10% 到 20% 的时间里。
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