Overcrowding in Emergency Department: Causes, Consequences, and Solutions—A Narrative Review

The Integrated Care Team: A primary care based-approach to support older adults with complex health needs

Many older adults have complex needs and experience high rates of acute care use and institutionalization. Comprehensive Geriatric Assessment (CGA) is a specialized multidimensional interprofessional intervention to prevent such outcomes, but access to CGA in the community is limited. The Integrated Care Team (ICT) is a proactive case-finding intervention to support older adults with complex needs in primary care. The ICT provides nurse practitioner-led shared-care supported by a pharmacist, family physician, and geriatrician. Patients undergo a CGA, and a person-centred plan of care is implemented. We conducted a mixed-methods evaluation of the ICT. Patients were 81 ± 9.2 years old, 71% were women. Patients had a high burden of dementia and multimorbidity and received 12.8 ± 5.8 prescriptions daily. The ICT improved prescribing and reduced emergency department visits by 49.5% (P = 0.0001). Patients, care partners, and referring physicians reported high satisfaction with care. The ICT is currently being expanded to support additional primary care providers.

The role of AI in emergency department triage: An integrative systematic review

BACKGROUND

Overcrowding in emergency departments (EDs) leads to delayed treatments, poor patient outcomes, and increased staff workloads. Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools to optimize triage.

OBJECTIVE

This systematic review evaluates AI/ML-driven triage and risk stratification models in EDs, focusing on predictive performance, key predictors, clinical and operational outcomes, and implementation challenges.

METHODS

Following PRISMA 2020 guidelines, we systematically searched PubMed, CINAHL, Scopus, Web of Science, and IEEE Xplore for studies on AI/ML-driven ED triage published through January 2025. Two independent reviewers screened studies, extracted data, and assessed quality using PROBAST, with findings synthesized thematically.

RESULTS

Twenty-six studies met inclusion criteria. ML-based triage models consistently outperformed traditional tools, often achieving AUCs > 0.80 for high acuity outcomes (e.g., hospital admission, ICU transfer). Key predictors included vital signs, age, arrival mode, and disease-specific markers. Incorporating free-text data via natural language processing enhances accuracy and sensitivity. Advanced ML techniques, such as gradient boosting and random forests, generally surpassed simpler models across diverse populations. Reported benefits included reduced ED overcrowding, improved resource allocation, fewer mis-triaged patients, and potential patient outcome improvements.

CONCLUSION

AI/ML-based triage models hold substantial promise in improving ED efficiency and patient outcomes. Prospective, multi-center trials with transparent reporting and seamless electronic health record integration are essential to confirm these benefits.

IMPLICATIONS FOR CLINICAL PRACTICE

Integrating AI and ML into ED triage can enhance assessment accuracy and resource allocation. Early identification of high-risk patients supports better clinical decision-making, including critical care and ICU nurses, by streamlining patient transitions and reducing overcrowding. Explainable AI models foster trust and enable informed decisions under pressure. To realize these benefits, healthcare organizations must invest in robust infrastructure, provide comprehensive training for all clinical staff, and implement ethical, standardized practices that support interdisciplinary collaboration between ED and ICU teams.

Exploring the effects of emergency department crowding on emergency nurses

Although the phenomenon of crowding in emergency departments (EDs) is not new, it remains a significant problem for patients, ED staff and the wider healthcare system. Crowding in EDs, which is also called overcrowding, has been widely explored in the literature, but there are relatively few studies of the subject from an emergency nurse perspective. This article reports the findings of a literature review that aimed to explore the effects of crowding on nurses working in EDs. Four key themes were identified from a synthesis of 16 articles included in the review: staffing and skill mix; inadequate care and the effect on nurses' well-being and stress levels; violence in the ED; and hospital metrics and patient flow. Further research is required to explore in more depth the effects of ED crowding on emergency nurses and to address the multiple factors that perpetuate the phenomenon.

Factors associated with delayed order-to-administration time in the emergency department: a retrospective analysis

BACKGROUND

Timely medication administration in the emergency department (ED) is critical for improving patient outcomes. This study aimed to identify predictors of delayed order-to-administration (OTA) time, defined as exceeding 30 min for stat medications.

METHODS

A retrospective analysis was conducted in the ED of a 1,000-bed tertiary hospital. Patients aged 20 years or older who received stat medications between June 1 and August 31, 2020, were included. Only the first stat medication order per patient was analyzed. Data on patient demographics, triage characteristics, environmental factors, prescription details, and OTA times were extracted from the hospital's electronic medical record and nursing information system. Multivariable logistic regression with backward elimination was used to identify predictors of OTA delays.

RESULTS

Among the 11,429 patient visits included, 9.9% experienced OTA delays exceeding 30 min. Predictors of higher odds of delay included older age (adjusted odds ratio [aOR]: 1.01, 95% CI: 1.00-1.01), female sex (aOR: 1.49, 95% CI: 1.31-1.69), limited mobility (aOR: 1.38, 95% CI: 1.17-1.63 for ambulatory with assistance; aOR: 1.24, 95% CI: 1.03-1.48 for non-ambulatory patients), trauma (aOR: 1.35, 95% CI:1.09-1.66), hourly patient visits (aOR: 1.07, 95% CI: 1.05-1.10), concurrent intravenous fluid use (aOR:1.42, 95% CI:1.04-1.93), blood tests (aOR: 1.73, 95% CI: 1.30-2.30), radiography (aOR: 2.22, 95% CI: 1.87-2.64), and computed tomography (aOR: 1.57, 95% CI: 1.37-1.80). Reduced odds of delay were observed among patients with triage level 1 compared to level 3 (aOR 0.25, 95% CI:0.16-0.39), those arriving during night shifts compared to day shifts (aOR: 0.33, 95% CI: 0.18-0.63), and those receiving intramuscular medications compared to intravenous administration (aOR 0.71; 95% CI, 0.55-0.93).

CONCLUSIONS

Several patient, environmental, and diagnostic-related factors were associated with OTA delays in stat medication administration. Understanding these predictors may help inform strategies to optimize ED workflows. Further research is warranted to validate these findings in other ED settings.

CLINICAL TRIAL NUMBER

Not applicable.

NeuroICU FastTrack: Rapid Disposition of Patients with Intracerebral Hemorrhage from the Emergency Department to Neuro-ICU

BACKGROUND

Emergency department length of stay (EDLOS) directly impacts outcomes of critically ill patients, with the risk of in-hospital mortality increasing by nearly 40% when an intensive care unit (ICU) bed is delayed beyond 4 h. Patients with intracerebral hemorrhage (ICH) suffer from worse functional outcomes and higher mortality when EDLOS exceeds 5 h, even for EDLOS exceeding just 1 h. Our goal was to implement an expedited triage pathway to reduce EDLOS of patients with ICH to less than 3 h and evaluate for downstream reduced morbidity and mortality.

METHODS

We conducted a retrospective analysis of patients with ICH evaluated in the emergency department (ED) at an academic comprehensive stroke center between January 1, 2022, and June 30, 2023. Univariate and multivariate logistic regression analyses were conducted to investigate the association between the NeuroICU FastTrack intervention with EDLOS less than 3 h and the rate of in-hospital mortality.

RESULTS

A total of 234 patients with ICH arrived to the ED and were admitted to the neuro-ICU. Post implementation, there was a statistically significant decrease in EDLOS from an average of 6.6 h to 4 h (p < 0.001) and a significant decrease in patient mortality (p = 0.006). There was also a reduction in mortality to 9.3% (p = 0.006) compared to a preintervention mortality rate of 22.9%. Additionally, the morbidity outcome (mRS of 0-2) remained relatively constant in both groups preintervention (23%) to post intervention (28%).

CONCLUSIONS

Consistent with prior published evidence and National Institute of Neurological Disorders and Stroke recommendations, a shorter EDLOS significantly decreased mortality, but there was no difference in morbidity in our population. The NeuroICU FastTrack process expedited critically ill ICH patient throughput from the ED to the ICU, enhanced bed availability through streamlined procedures, and improved patient outcomes.

Development and validation of the discharge severity index for post-emergency department hospital readmissions

INTRODUCTION

Hospital readmissions often result from a combination of factors, including inadequate follow-up care, poor discharge planning, patient non-adherence, and social determinants of health (SDOH) that impact access to healthcare and follow-up resources, many of which are beyond provider control. Enhanced post-discharge strategies, including risk stratification, are essential. This study aims to develop and validate the Discharge Severity Index (DSI) to predict readmission risk and optimize resource allocation for effective follow-up care.

METHODS

This single-center retrospective study analyzed ED visits from the Medical Information Mart for Intensive Care IV, dividing the data into derivation (75 %) and validation (25 %) cohorts. Univariate analyses were conducted on factors commonly available for most discharges, including patient age, the latest vital signs recorded, medical complexity, and ED length of stay (LOS). Multiple logistic regression (MLR) was employed to identify independent risk factors of patients revisiting the ED within a week and being subsequently admitted to the hospital. Adjusted parameter estimates from the MLR were used to develop a predictive model.

RESULTS

Among 229,920 patients discharged from the ED, 1.92 % were readmitted. The analysis identified seven variables correlated with this outcome, with six significant risk factors pinpointed through MLR: age above 65, heart rate over 100, and oxygen saturation below 96 % (assigned 1 point each), along with having more than five active medications administered during the hospital stay or a LOS exceeding 3 h (assigned 2 points each). Using these scores, we categorized patients into five DSI groups, reflecting escalating readmission risk from DSI 5 (lowest risk) to DSI 1 (highest risk): DSI 5 (0; OR: 1.0), DSI 4 (1-2; OR: 3.49), DSI 3 (3-4; OR: 8.44), DSI 2 (5-6; OR: 11.65), and DSI 1 (>6; OR: 14.63). The seven-day readmission rates were comparable between the development and validation cohorts. For instance, for DSI 1, the rates were 5.16 % in the development cohort and 4.67 % in the validation cohort. For DSI 2, the rates were 4.16 % and 4.04 %, respectively.

CONCLUSION

This study seeks to develop and validate the DSI, proposing its effectiveness as a tool for healthcare providers to categorize patients by their risk of post-discharge admission from the ED. The utilization of this tool has the potential to lead to a more informed allocation of resources after discharge.

Streamlining emergency nursing care post-pandemic: A lean approach for reducing wait times and improving patient and staff satisfaction in the hospital

BACKGROUND

In emergency departments (EDs), long wait times and overcrowding are major challenges, worsened by the pandemic's increased patient volumes and demands. Lean methodology could offer a structured approach to reduce inefficiencies, improve care quality, and support nursing staff.

AIM OF THE STUDY

This study aims to evaluate the impact of applying a Lean approach to optimize emergency nursing care post-pandemic within an ER setting.

METHODS

This study utilized a mixed-methods design in the ER of a private hospital in Egypt. Data collection involved three Lean tools: the voice of the process observation sheet, which tracked the journeys of 100 patients; voice of customer structured interviews, conducted with 90 patients to assess satisfaction with waiting times; and voice of business interviews, held with 64 staff members to evaluate satisfaction with available resources. Additionally, a cause-and-effect analysis was conducted and summarized in an A3 report, identifying key factors contributing to extended wait times.

RESULTS

The average wait time in the emergency department was 157.87 min, making up 77.7% of the total length of stay. The consultation phase accounted for the longest delays, with an average wait of 92.46 min. Patient satisfaction with waiting times was moderate (61.74%), while staff satisfaction with resources was higher (71.09%), but only 53.1% were satisfied with patient wait times. Key causes of delays included non-compliance with triage protocols (95.0%), lack of care pathways (90.3%), and insufficient bed capacity (83.1%). An A3 report proposed strategies to reduce wait times and enhance satisfaction.

CONCLUSION

This study highlights waiting times as a major challenge in EDs, significantly impacting service quality, patient outcomes, and nursing staff workload. Lean-based strategies, such as standardized triage and improved care pathways, are essential to reducing delays and enhancing both patient care and staff satisfaction in the post-pandemic healthcare environment.

Machine learning to risk stratify chest pain patients with non-diagnostic electrocardiogram in an Asian emergency department

Introduction

Elevated troponin, while essential for diagnosing myocardial infarction, can also be present in non-myocardial infarction conditions. The myocardial-ischaemic-injury-index (MI3) algorithm is a machine learning algorithm that considers age, sex and cardiac troponin I (TnI) results to risk-stratify patients for type 1 myocardial infarction.

Method

Patients aged ≥25 years who presented to the emergency department (ED) of Singapore General Hospital with symptoms suggestive of acute coronary syndrome with no diagnostic 12-lead electrocardiogram (ECG) changes were included. Participants had serial ECGs and high-sensitivity troponin assays performed at 0, 2 and 7 hours. The primary outcome was the adjudicated diagnosis of type 1 myocardial infarction at 30 days. We compared the performance of MI3 in predicting the primary outcome with the European Society of Cardiology (ESC) 0/2-hour algorithm as well as the 99th percentile upper reference limit (URL) for TnI.

Results

There were 1351 patients included (66.7% male, mean age 56 years), 902 (66.8%) of whom had only 0-hour troponin results and 449 (33.2%) with serial (both 0 and 2-hour) troponin results available. MI3 ruled out type 1 myocardial infarction with a higher sensitivity (98.9, 95% confidence interval [CI] 93.4-99.9%) and similar negative predictive value (NPV) 99.8% (95% CI 98.6-100%) as compared to the ESC strategy. The 99th percentile cut-off strategy had the lowest sensitivity, specificity, positive predictive value and NPV.

Conclusion

The MI3 algorithm was accurate in risk stratifying ED patients for myocardial infarction. The 99th percentile URL cut-off was the least accurate in ruling in and out myocardial infarction compared to the other strategies.

Insights into orthopedic and trauma emergency care and current challenges in Germany

BACKGROUND

The reform of emergency and acute care in Germany focuses on efficiently managing patient flows to reduce overcrowding in emergency departments, primarily caused by a rise in patients with low urgency and a lack of alternative care options. The aim of this work was to analyze the emergency care of orthopedic and trauma surgery patients in a Level I trauma center in order to improve patient care and manage resources more effectively.

MATERIAL AND METHODS

In this retrospective study, the data of orthopaedic and trauma surgery patients from the emergency department of a university in 2022 were analyzed. Data included demographics, triage levels, transport modes, diagnoses, and treatment outcomes. Process metrics like length of stay and time to medical contact were also evaluated. Descriptive and statistical analyses were conducted to examine patient distribution and resource use.

RESULTS

A total of 9414 patients (47.5% females; mean age 42.4 ± 24.1 years) were included, with 7500 treated for trauma and 1914 for orthopedic diagnoses. Most patients (79.6%) received outpatient care, while 21.3% were admitted as inpatients. Manchester Triage System distribution revealed 48.5% green, 31.0% yellow, 14.8% orange, and 0.8% red. The most common MTS flowcharts were limb problems (38.3%), falls (19.7%), and back pain (11.1%). Ambulance transport accounted for 33.7% of arrivals, while 65.1% presented independently. The average length of stay in the ED was 213 min, varying significantly across triage categories and working hours.

CONCLUSION

This study highlights key challenges in orthopedic and trauma emergency care, emphasizing the prevalence of low-urgency cases contributing to overcrowding. Enhancing outpatient care capacity and implementing reforms like integrated emergency centers and optimized triage systems are crucial to improving efficiency and aligning resources with patient needs.

Recommendations for Improving Discharge-Related Care Following a COPD Exacerbation: An Expert Panel Consensus with Emphasis on Low- and Middle-Income Countries

Exacerbations of chronic obstructive pulmonary disease (COPD) continue to place a considerable disease and financial burden on both patients and healthcare systems, particularly in low- and middle-income countries (LMICs). Therefore, preventing future exacerbations remains a key treatment goal. However, gaps remain in the standard of COPD care following exacerbations, despite the availability of evidence-based recommendations providing guidance on discharging patients from hospital or emergency department (ED) after a COPD exacerbation. To better understand these gaps in clinical practice, an advisory board meeting of 13 international pulmonologists was convened in September 2022, with the principal objective to formulate and recommend an evidence-based hospital discharge protocol following a COPD exacerbation, with a particular focus on LMICs. Based on identified gaps in COPD care, recommendations for alleviating the burden of exacerbations were proposed, which could be delivered as a discharge protocol for implementation in hospitals and/or ED. Following a review of the available clinical evidence, including an online survey of 11 pre-meeting questions and 5 additional questions discussed during the meeting, the key unmet needs identified by the experts included poor integration of standardized protocols in routine clinical practice, failure to ensure consistent delivery of post-discharge care, and lack of efficiently functioning healthcare systems. A protocol was formulated for delivery as part of a disease management program involving an interdisciplinary approach and a care bundle, aiming to address gaps in discharge-related care by determining the likelihood of readmission and optimizing maintenance treatment plans based on assessment of symptoms and future exacerbation risk. This can provide holistic care following hospital/ED discharge and personalized treatment plans by advocating referral to a specialist. To ensure wide-ranging uptake, implementation of a discharge protocol will need to be tailored to local healthcare settings by conducting feasibility studies, standardizing clinical pathways and healthcare policies, and engaging relevant stakeholders.

Exploring care pathways of patients conveyed by emergency medical services (EMS) through electronic health records

BACKGROUND

Emergency Medical Services (EMS) and Emergency Departments (ED) have reported increased patient volumes in the last decades. Despite high rates of non-conveyance decisions, unnecessary conveyances by EMS still occur. The aim of this study was to explore care pathways of conveyed patients by EMS through registry data.

METHODS

This was a retrospective cohort study of EMS patients in Finland. The primary outcomes were EMS recontacts and visits to a primary health care facility or ED within seven days. The secondary outcome was mortality within one week. Univariate and multivariable associations between the outcome variables and categorical variables were analysed with logistic regression. Results are presented with odds ratios (ORs) together with 95% confidence intervals (CIs) and p-values.

RESULTS

The conveyed patients' visits to health care facilities were mainly brief. EMS arrival during night-time (20:00-08:00) (OR 1.69; 95% CI 1.59 to 1.80), in urban area (OR 1.21; 95% CI 1.13 to 1.29) and alcohol use (OR 2.55; 95% CI 2.26 to 2.86) predicted short ED visits (< 24 h). 77% of the patients were discharged from primary health care within one hour (median 22 min, IQR 18-60). After EMS conveyance and visit to the ED or primary health care facility, 10.5% of the patients were readmitted within one week. Non-urgent patients (OR 1.26; 95% CI 1.14 to 1.39), an EMS mission at night (OR 1.36; 95% CI 1.24 to 1.50), and based on univariate analyses, the usage of alcohol (OR 1.26; 95% CI 1.09 to 1.45) increased the likelihood of a readmission. 449 patients of all conveyed EMS patients (n = 20376) died within one week (2.2%).

CONCLUSIONS

EMS non-conveyance reduces patient flow in EDs, but there is a possibility that more could be done related to unnecessary conveyances to health care facilities, especially in urban areas and at night. The pathway analyses of post conveyance re-contacts show that a small number of patients burden the system. Further in-depth studies are needed to understand of unnecessary conveyances, find solutions, and provide repeated users the appropriate care.

Artificial intelligence-driven forecasting and shift optimization for pediatric emergency department crowding

Objective

This study aimed to develop and evaluate an artificial intelligence (AI)-driven system for forecasting Pediatric Emergency Department (PED) overcrowding and optimizing physician shift schedules using machine learning operations (MLOps).

Materials and Methods

Data from 352 843 PED admissions between January 2018 and May 2023 were analyzed. Twenty time-series forecasting models-including classical methods and advanced deep learning architectures like Temporal Convolutional Network, Time-series Dense Encoder and Reversible Instance Normalization, Neural High-order Time Series model, and Neural Basis Expansion Analysis-were developed and compared using Python 3.8. Starting in January 2023, an MLOps simulation automated data updates and model retraining. Shift schedules were optimized based on forecasted patient volumes using integer linear programming.

Results

Advanced deep learning models outperformed traditional models, achieving initial R2 scores up to 75%. Throughout the simulation, the median R2 score for all models was 44% after MLOps-based model selection, the median R2 improved to 60%. The MLOps architecture facilitated continuous model updates, enhancing forecast accuracy. Shift optimization adjusted staffing in 69 out of 84 shifts, increasing physician allocation by up to 30.4% during peak hours. This adjustment reduced the patient-to-physician ratio by an average of 4.32 patients during the 8-16 shift and 4.40 patients during the 16-24 shift.

Discussion

The integration of advanced deep learning models with MLOps architecture allowed for continuous model updates, enhancing the accuracy of PED overcrowding forecasts and outperforming traditional methods. The AI-driven system demonstrated resilience against data drift caused by events like the COVID-19 pandemic, adapting to changing conditions. Optimizing physician shifts based on these forecasts improved workforce distribution without increasing staff numbers, reducing patient load per physician during peak hours. However, limitations include the single-center design and a fixed staffing model, indicating the need for multicenter validation and implementation in settings with dynamic staffing practices. Future research should focus on expanding datasets through multicenter collaborations and developing forecasting models that provide longer lead times without compromising accuracy.

Conclusions

The AI-driven forecasting and shift optimization system demonstrated the efficacy of integrating AI and MLOps in predicting PED overcrowding and optimizing physician shifts. This approach outperformed traditional methods, highlighting its potential for managing overcrowding in emergency departments. Future research should focus on multicenter validation and real-world implementation to fully leverage the benefits of this innovative system.

Can nCD64 and mCD169 biomarkers improve the diagnosis of viral and bacterial respiratory syndromes in the emergency department? A prospective cohort pilot study

PURPOSE

Differentiating infectious from non-infectious respiratory syndromes is critical in emergency settings. This study aimed to assess whether nCD64 and mCD169 exhibit specific distributions in patients with respiratory infections (viral, bacterial, or co-infections) and to evaluate their diagnostic accuracy compared to non-infectious conditions.

METHODS

A prospective cohort study enrolled 443 consecutive emergency department patients with respiratory syndromes, categorized into four groups: no infection group (NOIG), bacterial infection group (BIG), viral infection group (VIG), and co-infection group (COING). Multinomial logistic regression was used to evaluate nCD64 and mCD169's association with diagnostic groups and estimate their predictive accuracy.

RESULTS

290 patients were included in VIG, 53 in BIG, 46 in COING, and 54 in NOIG. nCD64 was associated with bacterial infections and co-infections (p = 2.73 × 10- 16 and p = 8.83 × 10- 11, respectively), but not viral infections. mCD169 was associated with viral infections and co-infections (p = < 2 × 10- 16 and p = 2.45 × 10- 13, respectively), but not bacterial infections. The sensitivity and specificity of nCD64 for detecting bacterial infections were 0.75 and 0.84 (AUC = 0.83), respectively, while for mCD169 they were 0.87 and 0.91 (AUC = 0.92), respectively, for diagnosing viral infections. A diagnostic algorithm incorporating fever, nasopharyngeal swabs for the main respiratory virus, C-reactive protein, procalcitonin, and mCD169 reached an accuracy of 0.79 (95% CI 0.72-0.85) in distinguishing among the different groups.

CONCLUSIONS

nCD64 and MCD169 seem valuable for distinguishing between bacterial and viral respiratory infections. Integrating these biomarkers into diagnostic algorithms could enhance diagnostic accuracy aiding patient management in emergency settings.

A pre-operative gastrointestinal optimization protocol to improve outcomes after intrathecal baclofen pump surgery

PURPOSE

Pediatric cerebral palsy patients carry frequent medical comorbidities and disproportionately consume hospital resources after neurosurgical procedures. We implemented an institutional pre-operative gastrointestinal (GI) optimization protocol to improve outcomes and decrease resource utilization.

METHODS

All 323 intrathecal baclofen surgeries from 2000 to 2023 were categorized relative to protocol implementation on July 1, 2017. Outcomes and resource utilization were compared.

RESULTS

The protocol change resulted in significantly fewer hospital readmissions (p = 0.001) for constipation, eliminating them and GI-related emergency visits. There was a reduction of 27 hospital days for constipation-related readmission (median 1 day per patient, IQR 1, 2 days). No differences were reported between the experimental groups including demographics or GI comorbidities. Post-operative complications within 30 days were comparable between groups regarding urinary tract infections, surgical-site infections, and spinal fluid leak. There were no differences in post-operative length of stay between groups.

CONCLUSION

A GI optimization protocol can eliminate a frequent source of hospital readmissions and GI-related emergency department visits after baclofen pump surgery, even accounting for baseline GI comorbidities. Preventing readmissions and emergency visits translates to lower hospital resource utilization and improves quality of care. Future efforts are warranted to improve outcomes and care efficiency for our most complex and resource-intensive patients.

Activity, triage levels and impact of the pandemic on hospital emergency departments: A multicentre cross-sectional study

AIM

Describe the activity of hospital emergency departments (EDs) and the sociodemographic profile of patients in the eight public hospitals in Spain, according to the different triage levels, and to analyse the impact of the SARS-CoV-2 pandemic on patient flow.

DESIGN

An observational, descriptive, cross-sectional and retrospective study was carried out.

METHODS

Three high-tech public hospitals and five low-tech hospitals consecutively included 2,332,654 adult patients seen in hospital EDs from January 2018 to December 2021. Hospitals belonging to the Catalan Institute of Health. The main variable was triage level, classified according to a standard for the Spanish structured triage system known as Sistema Español de Triaje. For each of the five triage levels, a negative binomial regression model adjusted for year and hospital was performed. The analysis was performed with the R 4.2.2 software.

RESULTS

The mean age was 55.4 years. 51.4% were women. The distribution of patients according to the five triage levels was: level 1, 0.41% (n = 9565); level 2, 6.10% (n = 142,187); level 3, 40.2% (n = 938,203); level 4, 42.6% (n = 994,281); level 5, 10.6% (n = 248,418). The sociodemographic profile was similar in terms of gender and age: as the level of severity decreased, the number of women, mostly young, increased. In the period 2020-2021, the emergency rate increased for levels 1, 2 and 3, but levels 4 and 5 remained stable.

CONCLUSION

More than half of the patients attended in high-technology hospital EDs were of low severity. The profile of these patients was that of a young, middle-aged population, mostly female. The SARS-CoV2 pandemic did not change this pattern, but an increase in the level of severity was observed.

IMPACT

What problem did the study address? There is overcrowding in hospital EDs. What were the main findings? This study found that more than half of the patients attended in high-technology hospital EDs in Spain have low or very low levels of severity. Young, middle-aged women were more likely to visit EDs with low levels of severity. The SARS-CoV2 pandemic did not change this pattern, but an increase in severity was observed. Where and on whom will the research have an impact? The research will have an impact on the functioning of hospital EDs and their staff.

PATIENT OR PUBLIC CONTRIBUTION

Not applicable.

Effective strategies for reducing patient length of stay in the emergency department: a systematic review and meta-analysis

BACKGROUND

Overcrowding is a common issue in emergency departments worldwide. One condition associated with overcrowding is the Emergency Department Length of Stay(EDLOS). Prolonged EDLOS is linked to increased hospitalization costs, worsening clinical outcomes, and deterioration in patient-reported outcomes. Consequently, there is a need to reduce EDLOS, and the scientific literature reports multiple strategies aimed at this goal. Therefore, the objective of this study was to determine strategies statistically significant in reducing the EDLOS.

METHOD

A systematic search was conducted in PubMed, Scopus, the Latin American and Caribbean Health Sciences Literature (LILACS) database, and Google Scholar from January 2000 to January 2024. Studies that included patient care strategies in emergency departments to reduce EDLOS, in adults or pediatric populations, and observational or experimental studies were included. The quality of the studies was assessed using the Cochrane Collaboration's Risk of Bias tool for Interventional Studies, and the certainty of the evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation criteria. A mean difference analysis in minutes was performed using a random-effects model.

RESULTS

A total of 3410 studies were identified using the search strategy with a total of 245,404 patients were analyzed. Three types of strategies were identified with results in reducing EDLOS. Interventions performed by physicians in the triage area (liaison, supervision, and advanced triage) showed a significant reduction of -21.87 min (95% CI -28.35; -15.38). The second intervention was the use of Point-of-Care Testing, which showed a reduction of -41.98 min (95% CI -98.13; 14.15). The third intervention was the creation of fast-track strategies, which documented a reduction of -21.81 min (95% CI -41.79; -1.83). Most of the studies were of the before-and-after type. The certainty of the evidence for the first intervention was moderate, while for the other two groups, it was considered low.

CONCLUSION

The presence of a physician in the triage team demonstrated a reduction in patient EDLOS, although with high heterogeneity among the analyzed studies. Similarly, the use of fast-track strategies is also significantly useful in reducing EDLOS, while POCT reduces EDLOS but not significantly.

Emergency department crowding: An assessment of the potential impact of the See-and-Treat protocol for patient flow management at an Italian hospital

BACKGROUND

Crowding and patient flow management are among the most relevant issues for emergency departments (EDs). This results in delayed treatment, adverse outcomes and increased costs. For these reasons, nurse-independent treatment protocols were developed aimed at managing non-emergency patients outside EDs thus improving patient flow. Our objective was to assess the potential impact of the implementation of the "See-and-Treat" protocol on eligible patients and related healthcare costs at an Italian ED.

METHODS

We selected all minor access codes from 2022 at the ED of Sassuolo Hospital in Northern Italy. We only included subjects discharged to home, while we excluded those who required specialized medical care or had received "Fast-Track" treatment. We identify a list of medical conditions to identify subjects eligible for inclusion in the See-and-Treat protocol and calculate the related healthcare costs.

RESULTS

Of 40,906 individual ED admissions, 2,607 (6.4%) qualified for See-and-Treat management. Limb injuries and pain were the leading conditions at presentation. Through cost analysis, we found that implementation of the See-and-Treat protocol may result in savings over €100,000/year at Sassuolo Hospital, and over €7 million if projected to the entire Emilia-Romagna Region.

CONCLUSIONS

Despite some limitations affecting protocol implementation, especially availability of highly-specialized and specifically-trained nurses, the study provided a foundation for a more comprehensive understanding of the implementation of the See-and-Treat protocol as a possible valid model with a view to both human and economic healthcare resources.

Variation in batch ordering of imaging tests in the emergency department and the impact on care delivery

OBJECTIVES

To examine heterogeneity in physician batch ordering practices and measure the associations between a physician's tendency to batch order imaging tests on patient outcomes and resource utilization.

STUDY SETTING AND DESIGN

In this retrospective study, we used comprehensive EMR data from patients who visited the Mayo Clinic of Arizona Emergency Department (ED) between October 6, 2018 and December 31, 2019. Primary outcomes are patient length of stay (LOS) in the ED, number of diagnostic imaging tests ordered during a patient encounter, and patients' return with admission to the ED within 72 h. The association between outcomes and physician batch tendency was measured using a multivariable linear regression controlling for various covariates.

DATA SOURCES AND ANALYTIC SAMPLE

The Mayo Clinic of Arizona Emergency Department recorded approximately 50,836 visits, all randomly assigned to physicians during the study period. After excluding rare complaints, we were left with an analytical sample of 43,299 patient encounters.

PRINCIPAL FINDINGS

Findings show that having a physician with a batch tendency 1 standard deviation (SD) greater than the average physician was associated with a 4.5% increase in ED LOS (p < 0.001). It was also associated with a 14.8% (0.2 percentage points) decrease in the probability of a 72-h return with admission (p < 0.001), implying that batching may lead to more comprehensive evaluations, reducing the need for short-term revisits. A batch tendency 1SD greater than that of the average physician was also associated with an additional 8 imaging tests ordered per 100 patient encounters (p < 0.001), suggesting that batch ordering may be leading to tests that would not have been otherwise ordered had the physician waited for the results from one test before placing their next order.

CONCLUSIONS

This study highlights the considerable impact of physicians' diagnostic test ordering strategies on ED efficiency and patient care. The results also highlight the need to develop guidelines to optimize ED test ordering practices.

A descriptive study on patient satisfaction with waiting time in emergency departments: Insights from hospitals in the Northern Emirates

BACKGROUND

Long waiting times in emergency departments (EDs) are a major challenge for healthcare systems worldwide. These extended delays can have a profound negative impact on patient quality of life, leading to increased stress, anxiety, and even deterioration in health conditions.

PURPOSE

identify factors that contribute to low satisfaction levels and long waiting times in EDs in the United Arab Emirates (UAE).

METHODS

A retrospective cross-sectional study was conducted. Patients who visited the ER at public and private hospitals in the Northern Emirates, including Sharjah, Fujairah, Khorfakkan, and Kalba, were asked to complete an online questionnaire.

RESULTS

A total of 394 patients participated in the study, with an overall satisfaction rate of 6.82 (SD ± 2.62) on a scale of 0 to 10. Medication information received the highest satisfaction score (78.6 %), followed by discharge information and doctor care. Waiting time was a significant area of dissatisfaction, with nearly 63.3 % of participants expressing dissatisfaction. Patients who visited private hospitals reported significantly higher satisfaction levels than those who visited public hospitals. There was a negative association between waiting time and patient satisfaction. The four most frequently indicated barriers to long waiting times were reliance on computer systems and digital recording (46%), crowded waiting lounges (42.7%), understaffing, including doctors (38.1%), and an inadequate number of examination/consultation rooms (37.3%).

CONCLUSION

Patient satisfaction is significantly impacted by waiting times in EDs. To improve patient satisfaction, hospital management should address the barriers to long waiting times that were identified in this study.

Reducing physical assaults on residents through implementation of project BETA: Best practices in the evaluation and treatment of agitation

Background and objectives

We created a multitude of initiatives that were in line with the principles of the BETA (Best Practices in the Evaluation and Treatment of Agitation) guidelines to determine if these initiatives would reduce the physical assault rate by patients on emergency medicine (EM) residents.

Methods

We conducted three cross-sectional surveys of our EM residents (PGY-1 to -3) to determine the incidence of physical assaults by agitated patients at a large county hospital emergency department. These were primarily anonymous REDCap surveys and were administered at the following intervals: (1) pre-BETA initiative implementation, (2) approximately 12 months after implementation, and (3) 5 years postimplementation. Unfortunately, the in-person deescalation, self-defense, and simulation training were canceled 2 years prior to the last survey due to COVID-19. The second survey only looked at the incidence of physical assaults during the prior 6 months whereas the other two surveys evaluated the incidence of physical assaults since starting residency.

Results

The survey response rates for the three REDCap surveys were 76% (50/66), 80% (53/66), and 71% (49/69), respectively. The percentage of EM residents who were physically assaulted per survey period were as follows: preimplementation cumulative assaults 28% (14/50), 12 months after implementation for 1 full academic year 11.3% (6/53), and postimplementation cumulative assaults during residency 5 years later 30.6% (15/49). The two independent-samples proportions tests comparing the number of physical assaults before and approximately 12 months after all of these initiatives were implemented was significant (p = 0.032).

Conclusions

An education and training curriculum designed to improve EM residents' ability to manage agitated patients may reduce the incidence of physical assaults on them by patients in their care. However, the decrease in physical assaults after these initiatives followed by the increase in physical assaults experienced after the COVID-19 pandemic are most likely multifactorial.

Emergency department trends for inguinal hernia and gallbladder disease before and after COVID-19 scheduled surgery interruptions: lessons for hospital capacity management

OBJECTIVES

Postponing scheduled surgeries may alleviate emergency department (ED) crowding by increasing inpatient beds for ED patients but the impact of such measures are unclear. We determined if scheduled surgery cancellations for inguinal hernia and gallbladder disease during the coronavirus pandemic affected ED presentations, hospitalizations, and complications.

METHODS

This database review included Albertans ≥ 18 with ED presentations for inguinal hernia and gallbladder disease from March 1, 2018 to May 31, 2022. The primary outcome examined ED hospitalizations and complications in the pre- (March 1, 2018-March 18, 2020) and post-cancellation (May 4, 2020-May 31, 2022) periods utilizing interrupted time series analysis. The secondary outcome reported scheduled surgery trends.

RESULTS

78,315 (10.6% inguinal hernia n = 8268; 89.4% gallbladder disease n = 70,064; n = 17 both inguinal hernia and gallbladder disease) patients were included. The post-cancellation period experienced a decreased trend change for inguinal hernia patients who received hospital admission (- 146.0%; p < 0.001), urgent interventions (- 171.0%; p < 0.001), and hernia repairs (- 164.0%; p < 0.001). For gallbladder disease patients, the post-cancellation period demonstrated a decreased trend in hospital admission (- 106.0%; p = 0.038) and an increased trend in day surgery transfers (- 1285.0%; p = 0.015) and median ED length of stay (82.0%; p = 0.0042). During the cancellation period, inguinal hernia and gallbladder disease surgeries decreased by 66.7% and 55.6%, respectively.

CONCLUSIONS

Despite a two-month surgery cancellation period, inguinal hernia and gallbladder disease patients demonstrated minimal differences in outcomes. During periods of ED boarding and crowding, scheduled surgery cancellations may be considered with minimal risk of potential adverse patient effects.

Identifying drivers of emergency department overutilization following bariatric surgery: insights from the MBSAQIP

BACKGROUND

Emergency department (ED) overutilization represents an avoidable source of increased health care costs. While bariatric surgery has low rates of postoperative complications, postoperative ED visits have been reported in 10%-15% of patients.

OBJECTIVES

We aimed to describe the prevalence, predictors, and timing of ED overutilization following bariatric surgery in addition to readmission patterns in ED overutilizers.

SETTING

Metabolic and Bariatric Surgery Accreditation Quality Improvement Program (MBSAQIP) centers of excellence across the United States.

METHODS

Adult patients who underwent bariatric procedures from 2016 to 2022 were identified. Overutilization was defined as ≥2 ED visits without readmission within 30 days of surgery. Multivariable logistic regression, adjusting for patient and procedural characteristics, was used to determine predictors of overutilization and association with 30-day readmission. ED and readmission reasons in addition to days of ED visits and readmissions were characterized in the overutilization cohort.

RESULTS

Of the 1,259,946 patients included, 11,818 (.9%) were ED overutilizers. ED overutilizers were predominantly female (88.7%) and had a mean age of 40.8 ± 11 years. Multivariable analysis revealed higher odds of ED overutilization in Black patients (1.30% vs. .84%, adjusted odds ratio [aOR]: 1.46, 95% confidence interval [CI]: 1.40-1.53) and those who underwent Roux-en-Y gastric bypass (1.39% vs. .75%, aOR: 1.74, 95% CI: 1.67-1.82). Postoperative pain (42.7%) and nausea and vomiting (34.5%) were the predominant diagnoses associated with ED visits. Overutilizers presented to the ED earlier compared to patients with only one ED visit (median days postoperatively (interquartile range): 8 (4, 14) versus 11 (5, 19), P < .001). Overutilizers were more likely to get readmitted than patients with no prior ED visits (17.2% vs. 2.9%, aOR: 5.75, 95% CI: 5.47-6.05).

CONCLUSION

ED overutilization following bariatric surgery represents a rare event that appears to be driven by potentially preventable causes including pain, nausea, and vomiting. Predictors of overutilization include patient demographics and procedure type. Understanding these drivers can guide targeted interventions to optimize postoperative care and reduce ED burden.

Impact of the Advanced Practice Nurse in Triage of Primary Care Emergency Departments

INTRODUCTION

This study aimed to compare the time spent on episodes seen by primary care emergency departments before (2017) and after (2019) the inclusion of an advanced practice nurse in patient classification.

METHODS

Records from 3 primary care emergency departments in 2017 (n = 18,663) and 2019 (n = 22,632) were compared using Student t and chi-square tests. Waiting time for classification, classification time, and total time spent in the consultation area were compared for total episodes, levels of priority, reasons for consultation, and previous clinical processes.

RESULTS

Mean waiting time decreased in 2019 for all episodes (P < .001), priorities IV (P < .001) and V (P < .001), respiratory (P < .001) and skin and subcutaneous tissue diseases (P = .015), and previous chronic processes (P = .042). Mean classification time increased in 2019 for all episodes (P < .001); priorities III (P < .001), IV (P < .001), and V (P = .045); several reasons for consultation, and previous processes. Mean total time spent in the consultation area decreased in 2019 for all (P = .002), priority V (P < .001), skin and subcutaneous tissue diseases (P = .010), and fever episodes (P = .021).

DISCUSSION

The inclusion of nurses with advanced nursing practice roles reduces the waiting time and length of stay in the emergency department, but increases the classification time, which could be linked to early interventions.

Characteristics of High Utilizer Patients in the Emergency Department at a University Hospital in the Kingdom of Bahrain

BACKGROUND

Emergency departments (EDs) around the world are facing a crippling crisis of overcrowding, a complex problem caused by a variety of factors. One contributing factor is the overutilization of EDs by patients with frequent visits.

OBJECTIVE

This study aims at measuring the prevalence of this phenomenon and better understanding the characteristics of high utilizers.

METHODS

A retrospective review was conducted in a tertiary care teaching hospital, for patients aged 14 years and above during the year 2022. The definition of a high utilizer is set as any patient that fits the inclusion criteria with four or more visits to the ED during 1 year.

RESULTS

The prevalence of high utilizers in our ED is 3.9%, accounting for 12.1% of visits in 2022, where 135 was the highest number of visits made by one patient. Visits mostly consisted of level 3, Yellow (48.9%) and level 4, Green (42.8%) triage. The top three chief complaints were sore throat (16.8%), unwell adult (15.1%), and abdominal pain (12.8%). The total length of stay was 3.6 ± 3.2 h in the ED. Time of arrival was observed; 23.9% presented at night, 37.8% in the morning, and 38.8% in the evening.

CONCLUSIONS

The prevalence rate of high utilizers was found to be 3.9% in our study, falling within the range based on literature. Due to the parallel issues raised by many studies, the importance of developing convenient corrective strategies and conducting further national-based studies to get better insight of high utilizers is required.

[The utilization of ophthalmological emergency departments is on the rise : 14-year results from a German tertiary university outpatient department]

BACKGROUND

The increasing congestion in emergency departments of all specialties is one of the most pressing challenges of our time.

OBJECTIVE

The aim of this study is to make a well-founded contribution to the development of emergency case numbers in the tertiary sector (specialist clinics) of German ophthalmology. From this, the need to develop new control and triage mechanisms for ophthalmology can be derived.

MATERIAL AND METHODS

Retrospectively, > 140,000 emergency treatment cases at the University Eye Hospital Tübingen in the period from 1 January 2010 to 31 December 2023 were analyzed. Sub-analyses were conducted to quantify the impact of the COVID-19 pandemic and differences between weekend and weekday visits. In addition, a questionnaire survey on the referral status of emergency consultations at off-peak times and at weekends was conducted in 2022.

RESULTS

The number of emergency consultations more than doubled between 2010 and 2023 and more than tripled at weekends. The peak load, which is relevant for guaranteeing treatment, has increased to the same extent. In the long term, a shift in emergency treatment from core to off-peak times can be observed, particularly at weekends. The majority of consultations (up to 87%) take place without a referral from a doctor. In 2023, the treatment figures returned to the level before the start of the COVID-19 pandemic.

DISCUSSION

The emergency outpatient clinic at the University Eye Hospital is increasingly exposed to a double burden: providing treatment for emergency cases with specialist referrals and at the same time acting as a catchment basin for general emergencies. New control and triage mechanisms are urgently needed to ensure good care in the long term.

Attitudes of Emergency Department Staff Toward Individuals Who Have Attempted Suicide and Associated Factors

PURPOSE

To determine the attitudes of emergency department (ED) staff toward people who have attempted suicide and the factors associated with these attitudes.

METHOD

This study was conducted between January and February 2023 and included 147 participants working in an ED in a city in Türkiye. Data were collected using a personal information form and the Attitude Scale Towards Attempted Suicide Cases for Evaluating Emergency Medical Teams (ASETSA).

RESULTS

Participants' mean years of experience in emergency services was 4.63 years (SD = 3.97 years) and mean perceived level of competence in intervening in suicidal behavior was 6.08 (SD = 2.16). Total mean ASETSA score of participants was 114.68 (SD = 12.31). Factors such as marital status, educational level, profession, working unit, working shift, having received training on how to approach a person who has attempted suicide, existence of a written procedure in the department, years of ED experience, and perceived level of competence in intervening in suicidal behavior were associated with positive attitudes toward people who have attempted suicide.

CONCLUSION

It is recommended that formal education curricula address how to approach people who have attempted suicide, that randomized controlled trials regarding the impact of in-service training be performed, and that studies evaluating the contribution of trainings to improvements in patient outcomes be conducted. [Journal of Psychosocial Nursing and Mental Health Services, 63(1), 39-46.].

Maximizing efficiency in emergency care: triple interventions to minimize left without being seen: An observational study

Left without being seen (LWBS) is a quality care metric associated with patient-centered outcomes. The risks affecting LWBS are complex and interventions targeting certain risks have diverse effects. We aimed to use different artificial intelligence and machine learning (AI/ML) algorithms to identify the risks affecting LWBS, implement triple interventions specifically targeted at such risks, and compare daily LWBS rate changes before and after the intervention. This is a retrospective observational study. Single urban Emergency Department (ED) daily throughput data from March 1, 2019, to February 28, 2023, were used for AI/ML model prediction. Model performance including accuracy, recall, precision, F1 score, and area under the receiver operating characteristics (AUC) were reported. The top risks affecting the LWBS were identified using the important function of the AI/ML feature. Triple interventions were implemented. The average daily LWBS rate was compared before (March 1, 2019, to February 28, 2023) and after (June 1, 2023, to May 31, 2024). A total of 1919 daily throughput metrics were analyzed, including 1461 daily metrics before the intervention, 92 daily metrics during the wash period, and 366 daily metrics after the intervention. Using data before the intervention, the Extreme Gradient Boosting (XGBoost) and Random Forest AI/ML algorithms predicted LWBS with a similar favorable performance. The 3 common factors influencing the increased daily LWBS rate were triage-to-bed (wait time), boarding time, and door-to-triage in the ED. Rapid triage, direct bedding, and boarding reduction (triple intervention) were implemented on March 1, 2023. We found 4.82% of daily LWBS before the triple intervention compared to 1.93% of daily LWBS after the triple intervention (P < .001). AI/ML approaches can identify common factors that are highly related to LWBS with favorable performance. Triple interventions targeting these factors can reduce the daily LWBS rate by approximately 60%, indicating the efficiency of the ED operational management.

Patient flow analysis with fast-track MRI for suspected stroke in the emergency department and associated non-comprehensive stroke center

Background

Good outcomes in stroke care require swift diagnostics, for which magnetic resonance imaging (MRI) as first-line brain imaging is superior to computed tomography scans. Reduced length of stay (LOS) in hospital and emergency departments (ED) may optimize resource use. Fast-track stroke MRI was implemented as the primary imaging technique for suspected stroke, in the ED at Copenhagen University Hospital-Herlev and Gentofte in 2020.

Objectives

We aimed to describe and compare LOS, MRI utilization, and the rate of strokes versus stroke-mimicking conditions on the stroke ward, before and after the implementation of fast-track MRI.

Design and method

In this cross-sectional study, we used data from admissions to the neurologic ED and associated non-comprehensive stroke unit. We compared two time periods, that is, January 1-December 31, 2019, and January 1-December 31, 2020, before and after the implementation of fast-track stroke MRI.

Results

There were 6650 admissions before and 7201 after implementation of fast-track stroke MRI. After implementation, we observed reductions in average LOS in hospitals from 56.0 to 38.6 h (p < 0.001), and LOS in ED from 9.17 to 8.63 h (p < 0.001). The use of inpatient MRI increased significantly, and the rate of acute ischemic stroke patients on the ward increased yet the rate of non-strokes remained unchanged. The association between shorter admissions and access to MRI remained (odds ratio 1.81, p < 0.001), after adjusting for sex, age, weekend admissions, and lockdown periods.

Conclusion

Fast-track stroke MRI in ED associated with reduced LOS in hospital.

Barriers, facilitators and next steps for sustaining and scaling virtual hospital services in Australia: a qualitative descriptive study

OBJECTIVE

To describe the barriers to and facilitators of implementing and delivering virtual hospital (VH) services, and evidence and practice gaps where further research and policy changes are needed to drive continuous improvement.

STUDY DESIGN

Qualitative descriptive study.

SETTING, PARTICIPANTS

Online semi-structured interviews and a focus group were conducted between July 2022 and April 2023 with doctors, nurses and leadership staff involved in VH services at three sites in New South Wales, Australia.

MAIN OUTCOME MEASURES

Barriers to and facilitators of implementing and delivering VH services in sites with differing operating structures and levels of maturity, and evidence and practice gaps relating to VH services.

RESULTS

A total of 22 individuals took part in the study. Barriers, facilitators, and evidence and practice gaps emerged within five major themes: scope and structure of VH services; development and implementation of VH models of care; delivery of VH models of care; evaluation of VHs and VH models of care; and sustainment and scalability of VH services. Facilitators of VH success included hybrid approaches to care, partnerships with external services, and skills of the VH workforce. Barriers and gaps in evidence and practice included technical challenges, the need to define the role of VH services, the need to evaluate the tangible impact of VH care models and technologies, and the need to develop funding models that support VH care delivery. Participants also highlighted the perceived impacts and benefits of VH services on the workforce (within and beyond the VH setting), consumers, and the health care system.

CONCLUSIONS

Our findings can help inform the development of new VH services and the improvement of existing VH services. As VH services become more mainstream, gaps in evidence and practice must be addressed by future research and policy changes to maximise the benefits.

Emergency Departments in Contemporary Healthcare: Are They Still for Emergencies? An Analysis of over 1 Million Attendances

BACKGROUND

Over the past few decades, emergency departments (EDs) have experienced an increasing workload. However, the variation in the types of patient accesses to these departments remains poorly understood.

OBJECTIVE

To evaluate the 5-year temporal trend in the volume of patients attending EDs based on the urgency of their conditions.

METHODS

This multicenter observational retrospective study was conducted from 1 January 2019, to 31 December 2023, across seven Italian EDs located within the same province. All patients accessing the EDs during the study period were included, totaling 1,282,735 patients. The triage code was used as an urgency index; non-urgent patients were defined as those who received a code 4 or 5 in triage, while urgent patients were defined as those who received a code 3, 2, or 1 in triage. Temporal analyses of admissions were conducted, also evaluating individual age groups to understand behavior over time.

RESULTS

From 2019 to 2023, there was a significant 10% increase in ED attendances by non-urgent patients. This increase was observed during both daytime and nighttime shifts. Notably, all age groups showed an increase in non-urgent patients, except for pediatric patients aged 0 to 14.

CONCLUSIONS

Over the past 5 years, there has been a consistent upward trend in ED attendances by non-urgent patients. Healthcare policies should consider implementing strategies to manage or mitigate the overload in EDs, particularly related to non-urgent patient accesses.

Deep learning-based Emergency Department In-hospital Cardiac Arrest Score (Deep EDICAS) for early prediction of cardiac arrest and cardiopulmonary resuscitation in the emergency department

BACKGROUND

Timely identification of deteriorating patients is crucial to prevent the progression to cardiac arrest. However, current methods predicting emergency department cardiac arrest are primarily static, rule-based with limited precision and cannot accommodate time-series data. Deep learning has the potential to continuously update data and provide more precise predictions throughout the emergency department stay.

METHODS

We developed and internally validated a deep learning-based scoring system, the Deep EDICAS for early prediction of cardiac arrest and a subset of arrest, cardiopulmonary resuscitation (CPR), in the emergency department. Our proposed model effectively integrates tabular and time series data to enhance predictive accuracy. To address data imbalance and bolster early prediction capabilities, we implemented data augmentation techniques.

RESULTS

Our system achieved an AUPRC of 0.5178 and an AUROC of 0.9388 on on data from the National Taiwan University Hospital. For early prediction, our system achieved an AUPRC of 0.2798 and an AUROC of 0.9046, demonstrating superiority over other early warning scores. Moerover, Deep EDICAS offers interpretability through feature importance analysis.

CONCLUSION

Our study demonstrates the effectiveness of deep learning in predicting cardiac arrest in emergency department. Despite the higher clinical value associated with detecting patients requiring CPR, there is a scarcity of literature utilizing deep learning in CPR detection tasks. Therefore, this study embarks on an initial exploration into the task of CPR detection.

Effectiveness and Stakeholder Views of Community-Based Allied Health on Acute Care Utilization: A Mixed Methods Review

The aim of this mixed methods systematic review was to synthesize contemporary evidence on effectiveness of community-based allied health (AH) services on acute care utilizations and views from relevant stakeholders. An a priori protocol was registered with PROSPERO [CRD42023437013]. Inclusion criteria were: (a) stand-alone interventions led by practitioners/graduates from one or more target AH professions (audiology, exercise physiology, diabetes educator, nutrition and dietetics, occupational therapy, physiotherapy, podiatry, psychology, social work, and speech pathology); (b) examined acute care utilization-related outcomes with/without perceptions of relevant stakeholders; and (c) published after 2010 and in English. Eligible studies were identified from: (a) bibliographic databases (MEDLINE, Embase, EmCare, PsycINFO, CINAHL complete, and the Cochrane Library) (September 19, 2023); (b) online databases (ProQuest Central and ProQuest Dissertations & Theses Global) and theses repository (Trove) (September 20, 2023); (c) Google and Google Scholar (October 17-18, 2023); and (d) citation searching. A modified version of McMaster Critical Appraisal Tools and McGill Mixed Methods Appraisal Tool were used to assess methodological quality. Data synthesis was through convergent segregated approach. Certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluation. There were 67 included papers. The integrated quantitative and qualitative findings demonstrated mixed evidence, likely influenced by the heterogeneity of the evidence base, for the effectiveness of AH services on acute care utilizations. Patients and their carers were largely positive about these services, highlighting opportunities to build on these experiences. The certainty of evidence for patient-important outcomes was however "very low", emphasizing cautious interpretation. The findings of this review shed light on the breadth and scope of AH in the community sector, and its potential impact on the acute sector. Further investment in, and ongoing research on, community-based AH can strengthen primary healthcare and relieve pressure on the acute sector.

Prolonged length of stay and associated factors among emergency department patients in Ethiopia: systematic review and meta-analysis

BACKGROUND

The duration between a patient's arrival at the Emergency Department (ED) and their actual departure, known as the Emergency Department Length of Stay (EDLOS), can have significant implications for a patient's health. In Ethiopia, various studies have investigated EDLOS, but a comprehensive nationwide pooled prevalence of prolonged EDLOS, which varies across different locations, is currently lacking. Therefore, the objective of this systematic review and meta-analysis is to provide nationally representative pooled prevalence of prolonged EDLOS and identify associated factors.

METHODS

In this study, we conducted a comprehensive systematic review and meta-analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist. We conducted a thorough search of numerous international databases, including PubMed/Medline, SCOPUS, Web of Science, and Google Scholar. The primary outcome was the prevalence of prolonged EDLOS. The secondary outcome was factors affecting the EDLOS. Random-effects model was used to since there was high heterogeneity. We also conducted subgroup analysis and meta-regression to investigate heterogeneity within the included studies. To assess publication bias, we used Egger's regression test and funnel plots. All statistical analyses were performed using STATA version 17.0 software to ensure accurate and reliable findings.

RESULT

We have identified eight articles that met our inclusion criteria with a total sample size of 8,612 participants. The findings of this systematic review and meta-analysis indicate that the pooled estimate for the prevalence of prolonged EDLOS is 63.67% (95% CI = 45.18, 82.16, I2 = 99.56%, P = 0.0001). The study identified several significant factors associated with prolonged EDLOS, including patients admitted to overcrowded emergency departments (OR = 5.25, 95% CI = 1.77, 15.58), delays in receiving laboratory findings (OR = 3.12, 95% CI = 2.16, 4.49), and delays in receiving radiological results (OR = 3.00, 95% CI = 2.16, 4.16).

CONCLUSION

In this review, the EDLOS was found to be very high. Overcrowding, delays in laboratory test findings, and delays in radiology test results make up the factors that have a statistically significant association with prolonged EDLOS. Given the high prevalence of prolonged EDLOS in this review, stakeholders should work to increase the timeliness of ED services in Ethiopia by proper disposition of non-emergency palliative patients to the appropriate destination, and implementing point-of-care testing and imaging.

Emergency department use before cancer diagnosis in Ontario, Canada: a population-based study

BACKGROUND

Although suspicions of cancer may be raised in patients who visit the emergency department, little is known about emergency department use before a cancer diagnosis. We sought to describe emergency department use among patients in Ontario within the 90 days before confirmed cancer diagnosis and to evaluate factors associated with this emergency department use.

METHODS

We conducted a retrospective, population-based study of patients aged 18 years or older who had a confirmed cancer diagnosis in Ontario from 2014 to 2021 using linked administrative databases. The primary outcome was any emergency department visit within 90 days before the cancer diagnosis date. We used multivariable logistic regression to evaluate factors associated with emergency department use, such as demographics (e.g., age, sex, rurality, Ontario Health region, indicators of marginalization), comorbidities, previous emergency department visits and hospital admissions, continuity of primary care, type of cancer, and year of cancer diagnosis.

RESULTS

We included 651 071 patients with cancer. Of these, 229 683 (35.3%) had an emergency department visit within 90 days before diagnosis, 51.4% of whom were admitted to hospital from the emergency department. Factors associated with increased odds of emergency department use before cancer diagnosis included rurality (odds ratio [OR] 1.15, 95% confidence interval [CI] 1.13-1.17), residence in northern Ontario (North East region OR 1.14, 95% CI 1.10-1.17 and North West region OR 1.27, 95% CI 1.21-1.32, v. Toronto region), and living in the most marginalized areas (material resources OR 1.37, 95% CI 1.35-1.40 and housing OR 1.09, 95% CI 1.06-1.11, v. least marginalized quintile). We observed significant variation in emergency department use by cancer type, with high odds of emergency department use among patients with intracranial, pancreatic, liver or gallbladder, or thoracic cancer.

INTERPRETATION

Emergency department use is common before cancer diagnosis, with about one-third of patients with cancer in Ontario using the emergency department before diagnosis. Understanding why patients visit the emergency department before cancer diagnosis is important, particularly for patients who live in rural or marginalized areas, or those who have specific cancer types.

Improving Quality of Care for Vacation-Related Emergency Department Visits: A Narrative Review of Patient Satisfaction and Contributing Factors

Emergency departments (EDs) encounter substantial challenges during peak vacation periods, including increased patient volumes, limited access to medical histories, language and cultural barriers, insurance complexities, and disruptions in continuity of care. These factors strain emergency department operations, resulting in prolonged wait times, diagnostic errors, and compromised care quality. This study reviews the literature to identify patient satisfaction indicators and common challenges and evaluate strategies to improve patient outcomes during vacation-related emergency department visits. Findings highlight critical issues in staffing and resource allocation, leading to delayed care. Limited interoperability of electronic health records (EHRs) often prevents access to essential patient information, increasing diagnostic errors and unnecessary repeat testing. Language and cultural barriers contribute to higher rates of misdiagnosis and lower patient satisfaction, while insurance and payment issues create delays, particularly for out-of-network or international patients. Effective strategies to address these challenges include the use of predictive analytics for better forecasting of patient volumes, specialized triage protocols, public health education campaigns, and telemedicine for remote management of non-critical conditions. These interventions help reduce wait times, optimize resource allocation, and improve patient satisfaction. By implementing adaptive approaches, such as flexible staffing models and enhanced electronic health record use, healthcare systems can significantly improve care delivery and patient outcomes during vacation seasons.

Emergency department visit frequency and health care costs following implementation of an integrated practice unit for frequent utilizers

OBJECTIVES

The integrated practice unit (IPU) aims to improve care for patients with complex medical and social needs through care coordination, medication reconciliation, and connection to community resources. This study examined the effects of IPU enrollment on emergency department (ED) utilization and health care costs among frequent ED utilizers with complex needs.

METHODS

We extracted electronic health records (EHR) data from patients in a large health care system who had at least four distinct ED visits within any 6-month period between March 1, 2018, and May 30, 2021. Interrupted time series (ITS) analyses were performed to evaluate the impact of IPU enrollment on monthly ED visits and health care costs. A control group was matched to IPU patients using a propensity score at a 3:1 ratio.

RESULTS

We analyzed EHRs of 775 IPU patients with a control group of 2325 patients (mean [±SD] age 43.6 [±17]; 45.8% female; 50.9% White, 42.3% Black). In the single ITS analysis, IPU enrollment was associated with a decrease of 0.24 ED visits (p < 0.001) and a cost reduction of $466.37 (p = 0.040) in the first month, followed by decreases of 0.11 ED visits (p < 0.001) and $417.61 in costs (p < 0.001) each month over the subsequent year. Our main results showed that, compared to the matched control group, IPU patients experienced 0.20 more ED visits (p < 0.001) after their fourth ED visit within 6 months, offset by a reduction of 0.02 visits (p < 0.001) each month over the next year. No significant immediate or sustained increase in costs was observed for IPU-enrolled patients compared to the control group.

CONCLUSIONS

This quasi-experimental study of frequent ED utilizers demonstrated an initial increase in ED visits following IPU enrollment, followed by a reduction in ED utilization over subsequent 12 months without increasing costs, supporting IPU's effectiveness in managing patients with complex needs and limited access to care.

Effect of triage training on nurses with Emergency severity index and Australian triage scale: Α quasi-experimental study

Introduction

Triage training has positive effects on health professionals, the quality of indicators in emergency departments, and the patients. However, data on the effectiveness of triage training on nurses with two different triage scales is limited.

Objective

This study sought to evaluate the effectiveness of a triage training program in Emergency Departments (EDs), as well as the effect on the accuracy, knowledge, and skills of nurses working in the National Health System of Greece.

Methods

Α quasi-experimental study was carried out, with measurements taken pre-, post-, and three months after implementing the education program. Data were collected between March 2021 and July 2022. Eligible participants for this study included nurses employed in the hospital units of the 4th Health Region of the National Health System. A total of 117 nurses participated in the study. Skills, knowledge, and accuracy were assessed using the Emergency Severity Index and the Australian Triage Scale.

Results

After completing the training program, there was a noticeable improvement in the nurses' performance. Their triage skills displayed an overall statistically significant increase (p < 0.001) and, more crucially, in the subscales of rapid patient assessment skills, patient categorization skills, and patient allocation skills. Additionally, statistically significant increases were observed for triage knowledge and for both screening scales that measured triage accuracy, namely the Emergency Severity Index (p < 0.001) and the Australian Triage Scale (p < 0.001). In addition, the number of over-triage and under-triage cases decreased.

Conclusions

The education program had a positive impact on the nurses, resulting in a statistically significant increase in their triage skills and knowledge. Moreover, the use of both triage scales resulted in an increase in the triage accuracy. The increase in triage skills, knowledge, and accuracy decreased after three months.

The educational pathway to Advanced Practice for the physiotherapist: Protocol for a systematic mixed studies review

RATIONALE

Advanced Practice Physiotherapy (APP) is a post-licensure higher level of practice that requires distinctly increased skills, clinical reasoning and experience. The four pillars that underpin APP are clinical practice, leadership, education and research. Multiple systematic reviews support that APP is beneficial to health care systems. While APP exists in over a dozen countries, it has yet to reach international recognition. A steppingstone in gaining global acknowledgement is understanding the educational pathway that physiotherapists traverse to become Advanced Practitioners. No systematic review has synthesized evidence to describe and evaluate the educational pathway for physiotherapists to APP. Therefore, the objectives of this review are 1) to describe the post-licensure educational pathways that physiotherapists engage in to advance their level of practice, 2) to evaluate the pillars of APP demonstrated by the physiotherapist after traversing a post-licensure educational pathway.

MATERIALS AND METHODS

A systematic mixed studies review using a data based convergent qualitative synthesis design will be conducted. MEDLINE (Ovid), Embase, CINAHL, the Cochrane Library, Web of Science, PEDro, SportDiscus, ProQuest Education databases as well as the grey literature will be searched from inception to 02/29/2024. Studies that aim to describe and or evaluate the capacity of educational pathways to influence the level of practice of the physiotherapist will be included. Two independent reviewers will screen studies, extract data and assess methodological quality (Quality Assessment of Diverse Studies). Quantitative data will be 'qualitized', and all data will be synthesized via a clustered textual description and directed content analysis. After synthesis, two reviewers will assess confidence in the cumulative evidence (GRADE-CERQual), which will inform the discussion.

IMPLICATIONS

The optimal pathway(s) to Advanced Practice for the physiotherapist will be evaluated to inform future high-quality research investigating the effectiveness of post-licensure education in developing Advanced Practice physiotherapists.

Hybrid emergency care at the home for patients - A multiple case study

INTRODUCTION

Healthcare systems worldwide are facing numerous challenges, such as an aging population, reduced availability of hospital beds, staff reductions and closure of emergency departments (ED). These issues can exacerbate crowding and boarding problems in the ED, negatively impacting patient safety and the work environment. In Sweden a hybrid of prehospital and intrahospital emergency care has been established, referred to in this article as Medical Emergency Team (MET), to meet the increasing demand for emergency care. MET, consisting of physicians and nurses, moving emergency care from EDs to patients' home. Physicians and nurses may encounter challenges in their healthcare work, such as limited resources for example medical equipment, sampling and examination, in unfamiliar varying home environments. There is a lack of knowledge about how these challenges can influence patient care. Therefore, the aim of this study was to explore the healthcare work of the METs when addressing patients' emergency care needs in their homes, with a focus on the METs reasoning and actions.

METHODS

Using a qualitative multiple case study design, two METs in southwestern Sweden were explored. Data were collected from September 2023 - January 2024 and consist of field notes from participant observations, short interviews and written reflections. A qualitative manifest content analysis with an inductive approach was used as the analysis method.

RESULT

The result of this study indicates that physicians and nurses face several challenges in their daily work, such as recurring interruptions, miscommunication and faltering teamwork. Some of these problems may arise because physicians and nurses are not accustomed to working together as a team in a different care context. These challenges can lead to stress, which ultimately can expose patients to unnecessary risks.

CONCLUSION

When launching a new service like METs, which is a hybrid of prehospital and intrahospital emergency care, it is essential to plan and prepare thoroughly to effectively address the challenges and obstacles that may arise. One way to prepare is through team training. Team training can help reduce hierarchical structures by enabling physicians and nurses to feel that they can contribute, collaborate, and take responsibility, leading to a more dynamic and efficient work environment.

Redirection of low-acuity emergency department patients to nearby medical clinics using an electronic medical support system: effects on emergency department performance indicators

BACKGROUND

Overcrowded emergency departments (EDs) are associated with higher morbidity and mortality and suboptimal quality-of-care. Most ED flow management strategies focus on early identification and redirection of low-acuity patients to primary care settings. To assess the impact of redirecting low-acuity ED patients to medical clinics using an electronic clinical decision support system on four ED performance indicators.

METHODS

We performed a retrospective observational study in the ED of a Canadian tertiary trauma center where a redirection process for low-acuity patients was implemented. The process was based on a clinical decision support system relying on an algorithm based on chief complaint, performed by nurses at triage and not involving physician assessment. All patients visiting the ED from 2013 to 2017 were included. We compared ED performance indicators before and after implementation of the redirection process (June 2015): length-of-triage, time-to-initial-physician-assessment, length-of-stay and rate of patients leaving without being seen. We performed an interrupted time series analysis adjusted for age, gender, time of visit, triage category and overcrowding.

RESULTS

Of 242,972 ED attendees over the study period, 9546 (8% of 121,116 post-intervention patients) were redirected to a nearby primary medical clinic. After the redirection process was implemented, length-of-triage increased by 1 min [1;2], time-to-initial assessment decreased by 13 min [-16;-11], length-of-stay for non-redirected patients increased by 29 min [13;44] (p < 0.001), minus 20 min [-42;1] (p = 0.066) for patients assigned to triage 5 category. The rate of patients leaving without being seen decreased by 2% [-3;-2] (p < 0.001).

CONCLUSION

Implementing a redirection process for low-acuity ED patients based on a clinical support system was associated with improvements in two of four ED performance indicators.

Managing low-acuity patients in an Emergency Department through simulation-based multiobjective optimization using a neural network metamodel

This paper deals with Emergency Department (ED) fast-tracks for low-acuity patients, a strategy often adopted to reduce ED overcrowding. We focus on optimizing resource allocation in minor injuries units, which are the ED units that can treat low-acuity patients, with the aim of minimizing patient waiting times and ED operating costs. We formulate this problem as a general multiobjective simulation-based optimization problem where some of the objectives are expensive black-box functions that can only be evaluated through a time-consuming simulation. To efficiently solve this problem, we propose a metamodeling approach that uses an artificial neural network to replace a black-box objective function with a suitable model. This approach allows us to obtain a set of Pareto optimal points for the multiobjective problem we consider, from which decision-makers can select the most appropriate solutions for different situations. We present the results of computational experiments conducted on a real case study involving the ED of a large hospital in Italy. The results show the reliability and effectiveness of our proposed approach, compared to the standard approach based on derivative-free optimization.

Optimizing Pain Management in Emergency Departments: A Comprehensive Review of Current Analgesic Practices

Effective pain management in Emergency Departments (EDs) is vital for improving patient comfort and clinical outcomes. This review provides a comprehensive analysis of current pain management practices in ED settings, focusing on the challenges and opportunities for optimization. The review examines pharmacologic and non-pharmacologic pain management strategies, evaluating their effectiveness and identifying inconsistencies and gaps in current practices. Key challenges in the ED environment include time constraints, variability in clinical protocols, and the need to address diverse patient needs, including those of paediatric, geriatric, and chronic pain patients. The review highlights the importance of standardized pain assessment tools and protocols to improve consistency in pain management. Innovations, such as technological advances and multimodal approaches, are explored for their potential to enhance pain management practices. Recommendations address identified challenges, including improved training for ED staff, the development of evidence-based protocols, and the integration of multimodal pain management strategies. By addressing these areas, the review aims to contribute to the development of more effective and uniform pain management practices in emergency care, ultimately leading to better patient outcomes and experiences. This review emphasizes the need for ongoing research and adaptation of best practices to meet the evolving needs of patients in emergency settings.

A novel approach to expedite emergency investigation for suspected cauda equina syndrome referrals from community and primary care services: A service evaluation

INTRODUCTION

Although a rare spinal emergency, cauda equina syndrome (CES) can result in significant physical, emotional, and psychological sequalae. Introducing a CES pathway enhances diagnosis but may increase Radiology and Orthopaedic workload. To address this, one NHS hospital in England introduced a novel CES pathway. Utilising a criteria-led pathway, patients were referred directly from community/primary care, via the Emergency Department, for an emergency MRI scan.

OBJECTIVE

To compare the outcomes of patients referred via an original and redesigned Community and Primary Care CES pathway.

DESIGN

A retrospective service evaluation was undertaken of all emergency MRI scans investigating suspected CES via either pathway.

METHODS

Two 3-month time periods were analysed; pre-(original) and post-implementation of the redesigned pathway; time to surgery was reviewed over two 12-month periods.

RESULTS

Increased MRI scan utilisation was seen following the implementation of the redesigned pathway: original n = 50, redesigned n = 128, increasing Radiology workload. However, the redesigned pathway resulted in a reduction in time to MRI from 3h:01m to 1h:02m; reduction in time spent in ED 4h:55m to 3h:24m; reduction in time to surgery 18h:05m to 13h:38m; reduction in out-of-hour scanning from 10 to 2 patients during the evaluation period; and a reduction in on-call Orthopaedic involvement by 38%.

CONCLUSION

All timed outcomes were improved with the implementation of this novel pathway. This suggests expediting MRI scans can result in substantial downstream benefits; albeit while increasing MRI scan utilisation. This pathway aligns with the emergency management of suspected CES under the new national CES pathway in England.

The syncope core management process in the emergency department: a consensus statement of the EUSEM syncope group

The European Society of Cardiology issued updated syncope guidelines in 2018 which included recommendations for managing syncope in the emergency department (ED) setting. However, these guidelines lack detailed process-oriented instructions regarding the fact that ED syncope patients initially present with a transient loss of consciousness (TLOC), which can have a broad spectrum of causes. This study aims to establish a European consensus on the general process of the workup and care for patients with suspected syncope and provides rules for sufficient and systematic management of the broad group of syncope (initially presenting as TLOC) patients in the ED. A variety of European diagnostic and therapeutic standards for syncope patients were reviewed and summarized in three rounds of a modified Delphi process by the European Society for Emergency Medicine syncope group. Based on a consensus statement, a detailed process pathway is created. The primary outcome of this work is the presentation of a universal process pathway for the structured management of syncope patients in European EDs. The here presented extended event process chain (eEPC) summarizes and homogenizes the process management of European ED syncope patients. Additionally, an exemplary translation of the eEPC into a practice-based flowchart algorithm, which can be used as an example for practical use in the ED, is provided in this work. Syncope patients, initially presenting with TLOC, are common and pose challenges in the ED. Despite variations in process management across Europe, the development of a universally applicable syncope eEPC in the ED was successfully achieved. Key features of the consensus and eEPC include ruling out life-threatening causes, distinguishing syncope from nonsyncopal TLOCs, employing syncope risk stratification categories and based on this, making informed decisions regarding admission or discharge.

Frontline Providers' and Patients' Perspectives on Improving Diagnostic Safety in the Emergency Department: A Qualitative Study

BACKGROUND

Few studies have described the insights of frontline health care providers and patients on how the diagnostic process can be improved in the emergency department (ED), a setting at high risk for diagnostic errors. The authors aimed to identify the perspectives of providers and patients on the diagnostic process and identify potential interventions to improve diagnostic safety.

METHODS

Semistructured interviews were conducted with 10 ED physicians, 15 ED nurses, and 9 patients/caregivers at two separate health systems. Interview questions were guided by the ED-Adapted National Academies of Sciences, Engineering, and Medicine Diagnostic Process Framework and explored participant perspectives on the ED diagnostic process, identified vulnerabilities, and solicited interventions to improve diagnostic safety. The authors performed qualitative thematic analysis on transcribed interviews.

RESULTS

The research team categorized vulnerabilities in the diagnostic process and intervention opportunities based on the ED-Adapted Framework into five domains: (1) team dynamics and communication (for example, suboptimal communication between referring physicians and the ED team); (2) information gathering related to patient presentation (for example, obtaining the history from the patients or their caregivers; (3) ED organization, system, and processes (for example, staff schedules and handoffs); (4) patient education and self-management (for example, patient education at discharge from the ED); and (5) electronic health record and patient portal use (for example, automatic release of test results into the patient portal). The authors identified 33 potential interventions, of which 17 were provider focused and 16 were patient focused.

CONCLUSION

Frontline providers and patients identified several vulnerabilities and potential interventions to improve ED diagnostic safety. Refining, implementing, and evaluating the efficacy of these interventions are required.

A streamlined Emergency Department approach to moderate risk chest pain in patients with no pre-existing coronary artery disease: A pilot study

OBJECTIVE

Moderate risk patients with chest pain and no previously diagnosed coronary artery disease (CAD) who present to ED require further risk stratification. We hypothesise that management of these patients by ED physicians can decrease length of stay (LOS), without increasing patient harm.

METHODS

A prospective pilot study with comparison to a pre-intervention control group was performed on patients presenting with chest pain to an ED in Perth, Australia between May and October 2021, following the introduction of a streamlined guideline consisting of ED led decision making and early follow up. Patients had no documented CAD and were at moderate risk of major adverse cardiac events (MACE). Electronic data was used for comparison. Primary outcomes were total LOS and LOS following troponin.

RESULTS

One hundred eighty-six patients were included. Median total LOS was reduced by 62 min, but this change was not statistically significant (482 [360-795] vs 420 [360-525] min, P = 0.06). However, a significant 60 min decrease in LOS was found following the final troponin (240 (120-571) vs 180 (135-270) min, P = 0.02). There was no difference in the rate of MACE (0% vs 2%, P = 0.50), with no myocardial infarction or death.

CONCLUSIONS

Our study suggests that patients with no pre-existing CAD can be safely managed by emergency physicians streamlining their ED management and decreasing LOS. This pathway could be used in other centres following confirmation of the results by a larger study.