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首页> 外文会议>MEDINFO >Assessing Data Integration and Quality for the Evaluation of Point-of-Care Testing Across Rural and Remote Emergency Departments in Australia
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Assessing Data Integration and Quality for the Evaluation of Point-of-Care Testing Across Rural and Remote Emergency Departments in Australia

机译：评估在澳大利亚农村和远程急诊部门跨越护理点测试的数据集成和质量

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In Australia, New South Wales Health Pathology's implementation of managed Point-of-Care Testing (PoCT) services across rural and remote emergency departments (EDs) has the potential to significantly improve access to results for certain types of pathology laboratory tests and help to deliver timely patient care. The aim of this study was to assess the quality of the datasets, including the integration of PoCT results into clinical systems, as a precursor to the application of an evaluation framework for monitoring the delivery of PoCT services and their impact on patient care. Three datasets, including laboratory, ED presentations and hospital admissions data were extracted from the relevant clinical information systems. Each dataset was assessed on six dimensions: completeness, uniqueness, timeliness, validity, accuracy, and consistency. Data incompleteness was the largest problem. Assessing the PoCT data integration and data quality is a precondition for the evaluation of PoCT and for monitoring and improving service delivery.
机译：在澳大利亚，新的南威尔士州卫生理理在农村和远程急诊部门（EDS）的管理点（POCT）服务的实施有可能显着改善某些类型的病理实验室测试的结果，并帮助提供及时患者护理。本研究的目的是评估数据集的质量，包括将POCT结果的整合到临床系统中，作为应用评价框架的前兆监测议员提供的POCT服务及其对患者护理的影响。从相关的临床信息系统中提取了三个数据集，包括实验室，ED演示和医院录取数据。每个数据集在六个维度上进行评估：完整性，唯一性，及时性，有效性，准确性和一致性。数据不完整是最大的问题。评估POCT数据集成和数据质量是评估POCT和监控和改善服务交付的前提。

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