Assessing Data Integration and Quality for the Evaluation of Point-of-Care Testing Across Rural and Remote Emergency Departments in Australia

Stud Health Technol Inform. 2017:245:471-475.

Abstract

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.

Keywords: Australia; Data Accuracy; Point-of-Care Testing.

MeSH terms

  • Australia
  • Emergency Service, Hospital*
  • Humans
  • New South Wales
  • Point-of-Care Systems
  • Point-of-Care Testing*
  • Rural Population*