Objectives: The objective was to examine the relationship between laboratory testing (including test volume and turnaround time [TAT]) and emergency department (ED) length of stay (LOS), using linked patient-level data from four hospitals across 4 years.Methods: This was a retrospective, multisite cohort study of patients presenting to any one of four EDs in New South Wales, Australia, during a 2-month period (August and September) in 2008, 2009, 2010, and 2011. Data from ED information systems were linked to laboratory test data. A cross-classified random-effect modeling approach was applied to identify factors affecting ED LOS, taking into account the correlation between patients' presentations at the same hospital and/or in the same calendar year. Number of test order episodes (tests ordered at one point in time during the ED stay) and TAT (time from laboratory order receipt to result available) were examined.Results: As the number of test order episodes increased, so did the duration of patient ED LOS (p < 0.0001). For every five additional tests ordered per test order episode, the median ED LOS increased by 10 minutes (2.9%, p < 0.0001); each 30-minute increase in TAT was, on average, associated with a 5.1% (17 minutes; p < 0.0001) increase in ED LOS, after adjustment for other factors. Patients presenting to the ED at night (7 p.m. to 7 a.m.) had longer stays than those presenting during the daytime, although the median TATs at nights were shorter than those during the daytime.Conclusions: Laboratory testing has a direct effect on patients' LOS in ED. Laboratory TAT, number of testing episodes, and test volume influence ED LOS. Targeted increases of ED resources and staffing after-hours may also contribute to reductions in ED LOS.ACADEMIC EMERGENCY MEDICINE 2015;22:38-46

SUMMARY Objective To determine variation in pathology test ordering practices and identify associated factors for adult patients presenting to emergency departments (ED) with chest pain and subsequently admitted with ischaemic heart disease. Methods A retrospective study across six hospital EDs in New South Wales, Australia. A total of 6769 patient presentations between January 2014 and December 2017 met the inclusion criteria. Ordered pathology tests were grouped into three categories based on Australasian College for Emergency Medicine and the Royal College of Pathologists of Australasia recommendations: category I (no restriction in ordering), category II (can be ordered after consulting a supervisor) and category III (not for routine ordering in ED). The primary outcome was the proportion of category III test ordering across study EDs. Factors associated with category III test ordering were identified using a logistic regression. Results A total of 34 936 pathology tests were ordered: 65.6% (n = 22 932) were category I/II tests and 34.4% (n = 12 004) were category III tests. Five tests (Calcium Magnesium Phosphate, Coagulation Studies, Lipase, C‐reactive Protein and Blood Gas tests) accounted for 84.7% of all category III tests. The proportion of category III tests ordered varied by hospitals from 29.8% to 45.9%. The proportion of patients with at least one category III test was 76.3% (range across hospitals: 68.3%‐95.6%). Increasing age, presentation to an ED at night, and those in an imminently life‐threatening triage category were significantly associated with increased likelihood of category III test ordering. The proportion of category III tests decreased over time. EDs in medium and/or regional hospitals were more likely to order a category III test. Conclusion Pathology investigations for patients presenting with chest pain varied significantly across EDs suggesting opportunities to improve standardisation of test ordering practices.

Diagnostic investigations (pathology laboratory and medical imaging) aim to: increase certainty of the presence or absence of disease by supporting the process of differential diagnosis; support clinical management; and monitor a patient's trajectory (e. g., disease progression or response to treatment). Digital health can be defined as the collection, storage, retrieval, transmission, and utilization of data, information, and knowledge to support healthcare. Digital health has become an essential component of the diagnostic process, helping to facilitate the accuracy and timeliness of information transfer and enhance the effectiveness of decision-making processes. Digital health is also important to diagnostic stewardship, which involves coordinated guidance and interventions to ensure the appropriate utilization of diagnostic tests for therapeutic decision-making. Diagnostic stewardship and informatics are thus important in efforts to establish shared decision-making. This is because they contribute to the establishment of shared information platforms (enabling patients to read, comment on, and share in decisions about their care) based on timely and meaningful communication. This paper will outline key diagnostic informatics and stewardship initiatives across three interrelated fields: (1) diagnostic error and the establishment of outcomes-based diagnostic research; (2) the safety and effectiveness of test result management and follow-up; and (3) digitally enhanced decision support systems.

IntroductionVariation in test ordering is a major issue in Australia and globally with significant financial and clinical impacts. There is currently a lack of research identifying and remediating variation in the use of pathology tests in emergency departments (EDs). In 2019, NSW Health Pathology introduced the Pathology Atlas of Variation that uses a data-driven tool (the Atlas Analytical Model) to investigate test order variation across New South Wales (NSW) and engage with local health districts (LHDs) to reduce variation. The objectives of this study are to evaluate whether this data-driven approach is associated with: (1) a reduction in test order variation; (2) improvements in patient outcomes and (3) cost benefits, for the five most frequent ED presentations.Methods and analysisThis is a large multisite study including 45 major public hospitals across 15 LHDs in NSW, Australia. The Atlas Analytical Model is a data analytics and visualisation tool capable of providing analytical insights into variation in pathology investigations across NSW EDs, which will be used as feedback to inform LHDs efforts to reduce variation. Interrupted time series analyses using 2 years pre Atlas (2017–2018) and 2 years post Atlas (2021–2022) data will be conducted. Study data will be obtained by linking hospital and laboratory databases. Funnel plots will be used to identify EDs with outlying pathology test ordering practices. The outcome measures include changes in test ordering practices, ED length of stay, hospital admission and cost benefits (total pathology costs per ED encounter).Ethics and disseminationThe study has received ethical approval from the NSW Population and Health Service Research Ethics Committee (reference, 2019/ETH00184). The findings of the study will be published in peer-reviewed journals and disseminated via presentations at conferences. We will also engage directly with key stakeholders to disseminate the findings and to inform policies related to pathology testing in the ED.

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