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A Relational Method for Determining Eventual Causality in Electronic Health Records

机译:一种确定电子健康记录中最终因果关系的关系方法

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The use of electronic health records (EHR) has been increased substantially to improve quality of healthcare outcomes. That's why recent EHR systems have been eagerly evolving from patient documentation systems toward intellectual tools for physicians to accomplish their tasks. Such evolution would mean continuous changes to the current EHR systems, which would be a real challenge since the designed software for these systems is usually customized based on prior requirements and thus having the correct workflow design is an essential key to allow system intellectuality and system automation. Such upgrade would give more realistic view to the patient medical profile by associating all related medical entities in a hierarchical order without losing the usability and performance of these systems. This new approach treats the EHR system as a storage manager, which is an important advantage from the development prospective especially for any future changes in any of the different layers.
机译:电子健康记录(EHR)的使用大幅增加,以提高医疗成果的质量。 这就是为什么最近的EHR系统从患者文档系统急切地发展到医生的智力工具,以实现他们的任务。 这种演变将意味着对当前EHR系统的连续变化,这是一个真正的挑战,因为这些系统的设计软件通常根据先前的要求定制,因此具有正确的工作流程设计是允许系统智能和系统自动化的必要密钥 。 这种升级将通过在分层顺序中将所有相关的医疗实体与这些系统的可用性和性能相关联来给予患者医疗型材的更现实的视图。 这种新方法将EHR系统视为存储管理器,这是开发前瞻性的重要优势,特别是对于任何不同层的任何未来变化。

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