Assessing Data Integration and Quality for the Evaluation of Point-of-Care Testing Across Rural and Remote Emergency Departments in Australia
In Australia, New South Wales Health Pathologys 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.
Point-of-Care Testing Data Accuracy Australia
Ling Li Euan McCaughey Juliana Iles-Mann Andrew Sargeant Maria R.Dahm Virginia Mumford Johanna I Westbrook Andrew Georgiou
Centre for Health Systems and Safety Research,Australian Institute of Health Innovation,Macquarie Un Pathology West,New South Wales Health Pathology,Sydney,New South Wales,Australia New South Wales Health Pathology,Sydney,New South Wales,Australia
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
471-475
2017-08-21(万方平台首次上网日期,不代表论文的发表时间)