Exploration of Integrated NATA/QAP Predictive Modelling to Improve Pathology Quality

Funding is sought to investigate recently established statistical modelling strategies utilising combined NATA plus QAP data, to explore challenges to consistent high-quality pathology laboratory performance. Investigations proposed here will include the assessment of troponin turn-around-time (TAT) as an additional performance marker, the identification of differences between primary and secondary laboratories, an investigation of point-of-care testing (PoCT), and the validation of rules identified via NSW NATA/QAP data on a Queensland database.