Over 10 million ED visits occur each year across Australia and Aotearoa New Zealand. Outside basic administrative data focused on time-based targets, there is minimal information about clinical performance, quality of care, patient outcomes, or equity in emergency care. The lack of a timely, accurate or clinically useful data collection represents a missed opportunity to improve the care we deliver each day. The present paper outlines a proposal for a National Acute Care Secure Health Data Environment, including design, possible applications, and the steps taken to date by the Australasian College for Emergency Medicine ED Epidemiology Network in collaboration with the College of Emergency Nursing Australasia. Optimal use of the existing information collected routinely during clinical care of emergency patients has the potential to enable data-driven quality improvement and research, leading to better care and better outcomes for millions of patients and families each year.

BACKGROUND: Chest pain is a prevalent reason for emergency room referrals and presents diagnostic challenges. The physician must carefully differentiate between cardiac and noncardiac causes, including various vascular and extracardiovascular conditions. However, it is crucial not to overlook serious conditions such as acute coronary syndrome (ACS). Diagnosis of acute myocardial infarction (AMI) and early discharge management become difficult when traditional clinical criteria, ECG, and troponin values are insufficient. Recently, the focus has shifted to a \"multi-marker\" approach to improve diagnostic accuracy and prognosis in patients with chest pain.
METHODS: This observational, prospective, single-center study involved, with informed consent, 360 patients presenting to the emergency department with typical chest pain and included a control group of 120 healthy subjects. In addition to routine examinations, including tests for hsTnI (Siemens TNIH kit), according to the 0-1 h algorithm, biochemical markers sST2 (tumorigenicity suppression-2) and suPAR (soluble urokinase plasminogen activator receptor) were also evaluated for each patient. A 12-month follow-up was conducted to monitor outcomes and adverse events.
RESULTS: We identified two groups of patients: a positive one (112 patients) with high levels of hsTnI, sST2 > 24.19 ng/mL, and suPAR > 2.9 ng/mL, diagnosed with ACS; and a negative one (136 patients) with low levels of hsTnI, suPAR < 2.9 ng/mL, and sST2 < 24.19 ng/mL. During the 12-month follow-up, no adverse events were observed in the negative group. In the intermediate group, patients with hsTnI between 6 ng/L and the ischemic limit, sST2 > 29.1 ng/mL and suPAR > 2.9 ng/mL, showed the highest probability of adverse events during follow-up, while those with sST2 < 24.19 ng/mL and suPAR < 2.9 ng/mL had a better outcome with no adverse events at 12 months.
CONCLUSIONS: Our data suggest that sST2 and suPAR, together with hsTnI, may be useful in the prognosis of cardiovascular patients with ACS, providing additional information on endothelial damage. These biomarkers could guide the clinical decision on further diagnostic investigations. In addition, suPAR and sST2 emerge as promising for event prediction in patients with chest pain. Their integration into the standard approach in PS could facilitate more efficient patient management, allowing safe release or timely admission based on individual risk.

Early identification of patients with a poorer prognosis in the Emergency Department (ED) is crucial for prompt treatment and resource allocation. We investigated the relationship between the Neutrophil to Lymphocyte Ratio (NLR) and 30-day mortality in elderly acute medical patients. Prospective single-center cohort study including consecutive patients admitted to the ED. Inclusion criteria were age > 65 years and medical condition as the cause of ED access. Exclusion criteria were patients admitted for traumatic injuries or non-traumatic surgical diseases. ROC analysis was used to set the best cut-off of the NLR for mortality. 953 patients were included and 142 (14.9%) died during follow-up. ROC analysis showed a good predictive value of the NLR with an AUC 0.70, 95%CI 0.67-0.73 (p < 0.001) and identified a NLR > 8 as the best cut-off. Patients with NLR > 8 had a more serious triage code (72.6% had a triage code ≤ 2) and an increased heart rate and body temperature. They more often presented with dyspnea, abdominal pain, falls and vomiting. They also were characterized by an increase in urea, creatinine, white blood cells, neutrophils, fibrinogen, D-dimer, glycemia, CRP, LDH and transaminases and by a decrease in eGFR, of lymphocytes and monocytes. Multivariable logistic regression analysis demonstrated that the NLR remained associated with mortality after adjustment for confounders (Odds ratio 2.563, 95%CI 1.595-4.118, p < 0.001). Patients with NLR > 8 showed a higher mortality rate. NLR is an easy and inexpensive tool that may be used for risk stratification in the ED. The results of this study need to be validated in larger external cohorts.

UNASSIGNED: Poisoning is a major public health issue and a leading cause of admission to the emergency department (ED). There is a paucity of data describing the epidemiology and cost of acute poisoning. Therefore, this study investigated the epidemiology, patterns, and associated costs of acute poisoning in emergency department of the largest tertiary care healthcare centre in Qatar.
UNASSIGNED: This study was a retrospective review of the health records of patients admitted to the ED due to poisoning between January 2015 and December 2019. Incidence, clinical characteristics, and costs associated with acute poisoning were assessed. Frequency and percentages were calculated for categorical variables and mean and SD for continuous variables. The relationship between sociodemographic characteristics and poisoning profile was assessed using the chi-square test. A micro-costing approach using the cost of each resource was applied for cost calculations.
UNASSIGNED: The incidence of acute poisoning was 178 cases per 100,000 patients. Females (56%) and children below 14 years (44.3%) accounted for the largest proportion. Most of the exposures were accidental involving therapeutic agents (64.2%). The mean length of hospital stay was found to be 1.84 ± 0.81 days, and most patients (76.6%) were discharged within the first 8 h. A statistically significant difference was found between age groups and type of toxin (χ2 = 23.3, p < 0.001), cause and route of exposure (χ2 = 42.2, p < 0.001), and length of hospital stay (χ2 = 113.16, p < 0.001). Admission to intensive care units had the highest cost expenditure (USD 326,008), while general wards accounted for the least (USD 57,709).
UNASSIGNED: Unintentional poisoning by pharmacological agents is common in infants and children. This study will assist in the development of educational and preventive programmes to minimise exposure to toxic agents. Further studies are required to explore the impact of medical toxicology services, and post discharge monitoring of poisoning.

OBJECTIVE: To compare the proportion of nursing home residents dispatched to an emergency department (ED) after a call to the emergency medical communication center (EMCC) according to the availability or nonavailability of telemedicine.
METHODS: This prospective, observational trial was conducted in the EMCC and 74 nursing homes in a French county.
METHODS: All nursing home residents who needed to contact the EMCC between June 2019 and April 2020 were included in the study. We excluded calls notifying the death of a resident, for completing data from a previous call, and for nursing home staff.
METHODS: The primary outcome was the proportion of residents dispatched to an ED after their first call to the EMCC. The secondary outcomes were the proportion of second calls, proportion of residents dispatched to an ED after a second call, and proportion of death within 30 days.
RESULTS: We included 3103 calls in the final analysis (355 from equipped nursing homes and 2748 from unequipped nursing homes). The proportion of patients dispatched to an ED after the first call was lower among telemedicine-equipped than among telemedicine-unequipped nursing homes (41% vs 50%; odds ratio, 0.71; 95% CI, 0.56-0.90). The proportion of a second call for the same purpose within 72 hours, proportion of dispatching to an ED at the second call, and proportion of deaths within 30 days were similar between the groups.
CONCLUSIONS: The use of telemedicine by nursing home residents requiring a call to the EMCC is associated with a reduction in the number of dispatches to an ED without any increase in the number of 72-hour callbacks or 30-day mortality rates.

BACKGROUND: Shortages of mechanical ventilation have become a constant problem in Emergency Departments (EDs), thereby affecting the timely deployment of medical interventions that counteract the severe health complications experienced during respiratory disease seasons. It is then necessary to count on agile and robust methodological approaches predicting the expected demand loads to EDs while supporting the timely allocation of ventilators. In this paper, we propose an integration of Artificial Intelligence (AI) and Discrete-event Simulation (DES) to design effective interventions ensuring the high availability of ventilators for patients needing these devices.
METHODS: First, we applied Random Forest (RF) to estimate the mechanical ventilation probability of respiratory-affected patients entering the emergency wards. Second, we introduced the RF predictions into a DES model to diagnose the response of EDs in terms of mechanical ventilator availability. Lately, we pretested two different interventions suggested by decision-makers to address the scarcity of this resource. A case study in a European hospital group was used to validate the proposed methodology.
RESULTS: The number of patients in the training cohort was 734, while the test group comprised 315. The sensitivity of the AI model was 93.08% (95% confidence interval, [88.46 - 96.26%]), whilst the specificity was 85.45% [77.45 - 91.45%]. On the other hand, the positive and negative predictive values were 91.62% (86.75 - 95.13%) and 87.85% (80.12 - 93.36%). Also, the Receiver Operator Characteristic (ROC) curve plot was 95.00% (89.25 - 100%). Finally, the median waiting time for mechanical ventilation was decreased by 17.48% after implementing a new resource capacity strategy.
CONCLUSIONS: Combining AI and DES helps healthcare decision-makers to elucidate interventions shortening the waiting times for mechanical ventilators in EDs during respiratory disease epidemics and pandemics.

UNASSIGNED: Fecal occult blood tests (FOBT) are inappropriately used in patients with melena, hematochezia, coffee ground emesis, iron deficiency anemia, and diarrhea. The use of FOBT for reasons other than screening for colorectal cancer is considered low-value and unnecessary.
UNASSIGNED: Quality Improvement Project that utilized education, Best Practice Advisory (BPA) and modification of order sets in the electronic health record (EHR). The interventions were done in a sequential order based on the Plan-Do-Study-Act (PDSA) method. An annotated run chart was used to analyze the collected data.
UNASSIGNED: Education and Best Practice Advisory within the EHR led to significant reduction in the use of FOBT in the ED. The interventions eventually led to a consensus and removal of FOBT from the order set of the EHR for patients in the ED and hospital units.
UNASSIGNED: The use of electronic BPA, education and modification of order sets in the EHR can be effective at de-implementing unnecessary tests and procedures like FOBT in the ED and hospital units.

Overcrowding and extended waiting times in the emergency department (ED) can pose a significant risk of COVID-19 transmission from patients to healthy individuals. In 2017, the Saudi Ministry of Health (MOH) introduced a visual triage system (VTS) with scoring to notify healthcare workers (HCWs) in EDs about the Middle East respiratory syndrome coronavirus (MERS-CoV) infection risk. During the COVID-19 pandemic, the MOH employed a VTS to classify patients according to their potential risk of COVID-19 infection upon their admission to the ED. Suspected patients were then directed along specific pathways to reduce their contact with healthy individuals. This study assessed HCWs\' satisfaction with the VTS in the ED of two major government hospitals within the Riyadh region. Additionally, it assessed HCWs\' perceptions of VTS effectiveness. This study used a cross-sectional, observational design and relied on surveys for data collection. A total of 127 participants completed the survey, of which 87 (68.5%) were based in the EDs of the two hospitals. Among the ED participants, 18.1% expressed satisfaction with the VTS, 46.4% were neutral, and 33.1% reported dissatisfaction. ED participants provided feedback on the system\'s effectiveness, with 24.1% finding it effective, 66.7% considering it somewhat effective, and 9.2% deeming it ineffective. Of the total (127) study participants (70.1%) reported that the HCWs required better training to effectively implement the VTS infection control plans for suspected cases. Fewer than half of the participants (35.4%) deemed the time spent by VTS personnel to identify COVID-19 cases to be reasonable, whereas 22% found it too short and 27.6% considered it too long. Of the total 127 participants, 63% reported that language differences between patients and HCWs constituted barriers to the effective application of the VTS. Our study findings indicated that most ED participants had a neutral outlook on their satisfaction with the VTS and a neutral perspective on the effectiveness of VTS, viewing it as only somewhat effective. Reported weaknesses and key obstacles to the successful implementation of the VTS included language barriers. and insufficient training for HCWs, and unclear VTS pathways. The reported strengths of the VTS included its effectiveness in reducing crowds and identification of COVID-19 patients.

BACKGROUND: People who use substances (PWUS) encounter significant barriers to accessing care for their complex health needs. As a result, emergency departments (EDs) often become the first point of healthcare access for many PWUS and are a crucial setting for the study of health inequities. This study aimed to understand the ED healthcare experiences of PWUS with the intent of informing ways of improving the delivery of equitable care.
METHODS: This qualitative study was part of a larger cross-sectional, mixed-methods study that examined ED experiences among diverse underserved and equity-deserving groups (EDGs) within Kingston, Ontario, Canada. Participants shared and self-interpreted a story about a memorable ED or UCC visit within the preceding 24 months. Data from participants who self-identified as having substance use experiences was analyzed through inductive thematic analysis.
RESULTS: Of the 1973 unique participants who completed the survey, 246 participants self-identified as PWUS and were included in the analysis. Most participants were < 45 years of age (61%), male (53%), and white/European (57%). 45% identified as a person with a disability and 39% frequently struggled to make ends meet. Themes were determined at the patient, provider, and system levels.
METHODS: history of substance use and experience of intersectionality negatively influenced participants\' anticipation and perception of care. Provider: negative experiences were linked to assumption making, feelings of stigma and discrimination, and negative perceptions of provider care. Whereas positive experiences were linked to positive perceptions of provider care. System: timeliness of care and the perception of inadequate mental health resources negatively impacted participants\' care experience. Overall, these themes shaped participants\' trust of ED staff, their desire to seek care, and their perception of the care quality received.
CONCLUSIONS: PWUS face significant challenges when seeking care in the ED. Given that EDs are a main site of healthcare utilization, there is an urgent need to better support staff in the ED to improve care experiences among PWUS. Based on the findings, three recommendations are proposed: (1) Integration of an equity-oriented approach into the ED, (2) Widespread training on substance use, and (3) Investment in expert resources and services to support PWUS.

UNASSIGNED: Rapid treatment is critical in managing acute ischemic stroke (AIS) to improve patient outcomes. Various strategies have been used to optimize this treatment process, including the Acute Stroke Protocol (ASP) activation, and minimizing the duration of key performance metrices, such as door-to-needle time (DNT), CT-to-needle time (CTNT), CT-to-groin puncture time (CTGP), and door-to-groin puncture time (DGPT). However, identifying the delay-causing sub-tasks within the ASP could yield novel insights, facilitating optimization strategies for the AIS treatment process.
UNASSIGNED: This two-phase prospective observational time and motion study aimed to identify sub-tasks and compare their respective durations involved in the treatment process for AIS patients within ASPs. The study compared sub-task durations between \"routine working hours\" and \"evenings and weekends\" (after-hours), as well as between stroke neurologists and non-stroke neurologists. Additionally, the established performance metrices of AIS were compared among the aforementioned groups.
UNASSIGNED: Phase 1 identified and categorized 34 sub-tasks into five broad categories, while Phase 2 analyzed the ASP for 389 patients. Among the 185 patients included in the study, 57 received revascularization treatment, with 30 receiving intravenous (IV) thrombolysis only, 20 receiving endovascular thrombectomy (EVT) only, and 7 receiving both IV thrombolysis and EVT. Significant delays were observed in sub-tasks including triage, registration, patient history sharing, treatment decisions, preparation of patients, preparation of thrombolytic agents, and angiosuite preparation. The majority of these significant delays (P < 0.05) were observed when were performed by a non-stroke neurologist and during after-hours operations. Furthermore, certain sub-tasks were exclusively performed during after-hours or when the treatment was provided by a non-stroke neurologist. Consequently, DNT, CTNT, and CTGP were significantly prolonged for both non-stroke neurologists and off-hours treatment. DGPT was significantly longer only when the ASP was conducted by non-stroke neurologists.
UNASSIGNED: The study identified several sub-tasks that lead to significant delays during the execution of the ASP. These findings provide a premise to design targeted quality improvement interventions to optimize the ASP for these specific delay-causing sub-tasks, particularly for non-stroke neurologists and after-hours. This approach has the potential to significantly enhance the efficiency of the AIS treatment process.