将大数据转化为有价值的临床见解，更快地找到治疗方法
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- IBM PureData System for Analytics
- Netezza technology
技术栈
- Data Analytics
- Big Data
实施规模
- Enterprise-wide Deployment
影响指标
- Innovation Output
- Productivity Improvements
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 实时分析
适用行业
- 医疗保健和医院
适用功能
- 产品研发
用例
- 预测性维护
- 质量预测分析
服务
- 数据科学服务
关于客户
美国国立卫生研究院 (NIH) 是美国的医学研究机构，由 27 个研究所和中心组成。它隶属于美国卫生与公众服务部，是世界上最大的医学研究资金来源，为美国和全球数千名科学家提供支持。每天，美国最大的研究医院 NIH 临床中心都会从自愿参加临床试验的患者那里收集大量数据。隐藏在这些海量信息中的见解可能是推动医学研究和改善患者护理的关键，但前提是研究人员能够访问和分析这些数据。
挑战
美国国立卫生研究院 (NIH) 支持并开展重要的医学研究。然而，它在帮助科学家快速找到研究问题的答案并推动治疗突破方面面临着挑战。NIH 从自愿参加 NIH 临床中心临床试验的患者那里收集了大量数据。隐藏在这些海量信息中的见解可能是推动医学研究和改善患者护理的关键，但前提是研究人员能够访问和分析这些数据。随着技术和科学的进步增加了医学研究的规模和速度，NIH 必须努力让科学家更快地洞察不断增加的数据量。几年前，NIH 临床中心意识到数据的数量和复杂性可能会超出其现有系统的容量。
解决方案
NIH 正在利用 IBM® PureData® System 帮助研究人员从数十年的数据中获得新见解。如今，研究团队可以在几秒钟内（而不是几分钟或几小时）对患者数据进行查询，帮助他们进行更彻底的实验并找到更准确的研究问题答案。这些见解可用于发现新的疾病模式和有效治疗方法，改善患者护理并可能挽救生命。NIH 致力于增强其 BTRIS 应用程序的性能，推出了由 Netezza® 技术提供支持的 IBM PureData System for Analytics。如今，研究人员可以对大型复杂数据集进行分析并比以往更快地生成报告。一些查询以前需要五分钟才能运行，现在只需五秒钟。
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