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Harnessing real-time data to give a holistic picture of patient health
技术
- 分析与建模 - 大数据分析
适用行业
- 医疗保健和医院
适用功能
- 商业运营
用例
- 远程病人监护
挑战
每天，当患者通过医疗服务机构时，都会收集大量关于患者的数据——从治疗历史和药物等操作数据到医疗设备捕获的生理数据。隐藏在这一数据宝库中的洞察力可用于支持更个性化的治疗、更准确的诊断和更先进的准备护理。但是，由于信息的生成速度比大多数组织消耗它的速度要快，因此释放这种大数据的力量可能是一场斗争。这种类型的预测方法不仅可以改善患者护理，还有助于降低成本，因为在医疗保健行业，预防几乎总是比治疗更具成本效益。然而，以临床医生易于理解的方式收集、分析和呈现这些数据流可能会带来重大的技术挑战。
客户
CléMetric
关于客户
CléMetric 的 Q2Care 软件利用、管理和存储医疗系统在供应商的企业网络中产生的患者数据。
解决方案
IBM Streams 是 CléMetric 应用程序套件的基石，使公司能够收集、分析和关联来自各种医疗监测设备（如心电图、脉搏血氧仪和肺动脉导管）的信息。 CléMetric 将 IBM 流和认知计算的强大功能与一系列分析、数据管理和可视化发现工具相结合，以实现主动患者监测和回顾性分析。数据近乎实时地从患者监视器中提取并集成到单个仪表板中，为临床医生提供每位患者的整体视图。
收集的数据
Electrocardiography (ECG), Electronic Medical Record, Health Parameters, Medical Diagnostic Instruments, Personal Medical
运营影响
数量效益
相关案例.
Case Study
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Case Study
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Case Study
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