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Effort exposed on acceleration of information therapy intended for quantifiable scientist

机译:致力于加速可量化科学家的信息疗法的努力

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Sensible decision-support is gaining widespread attention as health check institutions and governing bodies turn towards utilize information management for effective and efficient healthcare delivery and quality assured outcomes. Quantifiable Data can be created based on effective Data Integrity, Data Management, Rule Prediction and Work Optimization Techniques as parts of knowledge management in need environments. Data originates from collection of separate healthcare files which are then entered into individual flat file. Data Warehouse transforms this file into a multidimensional data model that can be efficiently navigated for global patterns and trends except for personal information, all other dimensions were composed of attributes recorded for each visit or test. Managing and exploring vast collections of heterogeneous data is common place in the large health check organizations.
机译:随着健康检查机构和理事机构转向利用信息管理来实现高效,有效的医疗保健交付和质量保证的结果,明智的决策支持正受到广泛关注。可基于有效的数据完整性,数据管理,规则预测和工作优化技术来创建可量化数据,作为需求环境中知识管理的一部分。数据来自收集单独的医疗文件,然后将其输入到单个平面文件中。数据仓库将此文件转换为多维数据模型,可以有效地导航到全局模式和趋势(个人信息除外),所有其他维度均由每次访问或测试记录的属性组成。在大型健康检查组织中,管理和探索庞大的异构数据集合是司空见惯的事情。

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