Patient Arrival Research Articles

Time Between Symptom Onset and Emergency Department Arrival and Thrombolytic Treatment Rates in Patients with Acute Ischemic Stroke

Time Between Symptom Onset and Emergency Department Arrival and Thrombolytic Treatment Rates in Patients with Acute Ischemic Stroke

A spontaneous rupture of hepatic parenchyma, from imaging to arteriography

BACKGROUND AND AIM: Rupture of the liver parenchyma is an infrequent but potentially serious injury that can occur following different causes. This case report describes the diagnostic and therapeutic procedure in case of spontaneous rupture of the hepatic parenchyma. METHODS: After accessing the emergency room for diffuse abdominal pain, an old female patient arrives in the radiology department and performs a CT scan. RESULTS: The results of the initial CT scan do not point to a full-blown parenchymal rupture; in fact, it is challenging to make a diagnosis because the clinic is so ambiguous and only suggests that the abdomen discomfort may be caused by renal or biliary colic. At the level of the liver parenchyma, only a few hypodense oval forms with specific supra-fluid densitometry have been discovered. CONCLUSION: However, after a few days, the discomfort lingered, and as the condition worsened, the patient underwent additional radiological exams, which revealed a case that required arteriography and a lengthy hospital stay until the resolution.

Frequency and severity of hyponatremia in healthy children with acute illness.

Hyponatremia can occur in the acute phase of any illness through various mechanisms. However, the frequency and severity of hyponatremia are not well known across a broad range of illnesses including medical and surgical diseases and trauma. The present, retrospective chart review was conducted at Tokyo Metropolitan Children's Medical Center from 2018 to 2019. Included were healthy children aged < 16years with an acute illness, who were urgently admitted, and had their serum sodium level measured on arrival. In total, 2717 patients were urgently admitted and had their serum sodium level measured. Of these, 1890 were included. Hyponatremia was found in 260 patients (13.8%). The most common hyponatremic disease was type 1 diabetes mellitus (69%) followed by acute infectious encephalopathy (60%), pyogenic arthritis (60%), and Kawasaki disease (51%). Kawasaki disease, seizure, urinary tract infection, acute appendicitis, lower respiratory tract infection, and acute gastroenteritis were associated with a significantly lower serum sodium value than cases of fracture comprising a control group. Conversely, acute bronchial asthma exacerbation (3%), anaphylaxis (0%), intussusception (0%), acute scrotal disease (0%), head injury (1%), and fracture (0%) were very infrequently associated with hyponatremia. The present study determined the frequency and severity of hyponatremia in various, acute, pediatric illnesses, including medical and surgical diseases and trauma. Despite reports of respiratory distress and pain inducing vasopressin secretion, hyponatremia was rarely observed on arrival in patients with acute bronchial asthma exacerbation, anaphylaxis, intussusception, acute scrotal diseases, head injury, or fracture.

Predicting the critical administration threshold in bleeding trauma patients.

Delays in promptly recognizing and appropriately managing hemorrhagic injuries contribute to preventable trauma related deaths nationwide. We sought to identify patient variables available at the time of emergency department arrival associated with meeting the critical administration threshold. We conducted a trauma registry review from September 2016 to March 2020 of trauma team activations at The Ottawa Hospital, a Level 1 Trauma Center. Our primary outcome was the frequency of meeting the critical administration threshold. Secondary outcomes included time to critical administration threshold, 24-h all-cause mortality, and 30-day all-cause mortality. Multivariate logistic regression identified factors independently associated with meeting the critical administration threshold. We assessed 762 patients, of which 78 (10.2%) met the critical administration threshold. The median time to critical administration threshold was 28.9min. Mortality at 24h occurred in 58 (7.6%) patients. Four variables available upon patient arrival predicted the critical administration threshold, including systolic blood pressure ≤ 90mmHg (OR 6.6; 95% CI 3.7-12.0), Glasgow Coma Scale ≤ 8 (OR 5.9; 95% CI 3.2-10.6), heart rate ≥ 100 beats/minute (OR 4.4; 95% CI 2.4-8.1), and respiratory rate ≥ 20 breaths/min (OR 2.2; 95% CI 1.2-4.0). We identified four clinical variables readily available to physicians upon patient arrival associated with meeting the critical administration threshold: systolic blood pressure ≤ 90mmHg, Glasgow Coma Scale ≤ 8, heart rate ≥ 100 beats/minute, and respiratory rate ≥ 20 breaths/min. Patients presenting with any of these clinical parameters should prompt physicians to consider ordering blood products immediately.

A Comprehensive Analysis of Wait Times in Ambulatory Obstetrics and Gynecology Clinic at a Tertiary Care Hospital in Pakistan.

Objective Wait times are an important determinant of patient satisfaction measured objectively and associated significantly with it. It is a measure of time taken from the arrival of patients to the registration desk of a facility to the time they access service. This study focuses on current patient pathways at the Obstetrics and Gynecology Outpatient (OBGYN) Ambulatory Clinic at Shalamar Hospital and assesses wait times by stratifying it at each step of the pathway. Methodology Data on consultation times was obtained from 105 patient processes over three months. We had in-depth discussions with the doctors, nurses, and paramedical staff to better comprehend the medical conditions, the terminologies, the structural hierarchy, and the functions of the department. Based on this the patient journey through the clinic was further dissected into operational steps including the check-in process, patient vitals screening, patient history, physical examination, medical hierarchy, referral for further testing or procedures, and lastly prescription generation. Results The average wait time for obstetrics and gynecology patients is 45.18±39.37 minutes. The average time the patients waited for the check-in process was 1.73±1.80 minutes, for the vitals screening was 3.08±10.07 minutes, for patient history and examination was 19.90±22.71 minutes, and for consultation within the medical hierarchy (SR and Consultants) patients waited 1.31±5.71 minutes. For those patients who had no other tests or procedures recommended, the prescription generation required a further 4.10±3.14 minutes. While those who had tests or procedures recommended waited 5.75±28.27 minutes for voucher generation for the specific test or procedure and 9.31±11.35 minutes for the test or procedure itself. Conclusion The obstetrics and gynecology clinic at Shalamar Hospital has average wait times comparable to others in the region of approximately 45 minutes. The longest wait during the visit is before patient history and examination approximately 20 minutes. To improve wait times, the clinic should implement staggered appointments, use a token system, manage queues better, follow clinic hours, and improve coordination between doctors. This will allow for improved patient experiences, faster patient turnovers, and increased patient inflow.

Improving preparation in the emergency trauma room: the development and impact of real-time data transfer and dashboard visualization system.

This study examines, with clinical end users, the features of a visualization system in transmitting real-time patient data from the ambulance to the emergency trauma room (ETR) to determine if the real-time data provides the basis for more informed and timely interventions in the ETR before and after patient arrival. We conducted a qualitative in-depth interview study with 32 physicians in six German and Swiss hospitals. A visualization system was developed as prototype to display the transfer of patient data, and it serves as a basis for evaluation by the participating physicians. The prototype demonstrated the potential benefits of improving workflow within the ETR by providing critical patient information in real-time. Physicians highlighted the importance of features such as the ABCDE scheme and vital signs that directly impact patient care. Configurable and mobile versions of the prototype were suggested to meet the specific needs of each clinic or specialist, allowing for the transfer of only essential information. The results highlight on the one hand the potential need for adaptable interfaces in medical communication technologies that balance efficiency with minimizing additional workload for emergency medical services and show that the use of pre-notification systems in communication between ambulance and hospital can be supportive. Further research is recommended to assess practical application and support in clinical practice, including a re-evaluation of the enhanced prototype by professionals.

The offload study: A prospective observational study of the time to offload a patient from an ambulance or helicopter into an emergency department or percutaneous coronary intervention centre

Introduction Providing an accurate estimated time for patient handover in the emergency department (ED) can be difficult from the scene. The time taken to offload a patient from a conveying ambulance and transfer into the resuscitation room is often not considered within the estimated time of arrival (ETA). The aim of this study was to assess offload times for pre-alerted patients conveyed by a UK Helicopter Emergency Medical Service (HEMS) by air and road ambulance. Methods A prospective observational study was conducted at The Air Ambulance Service (TAAS) from August 2022 to February 2023. Consecutive emergency patients who were pre-alerted to hospital and arrived at an ED or Percutaneous Coronary Intervention (PCI) centre with an escorting air ambulance crew member were included. The offload time (time between hospital arrival and handover of the patient) was measured using a stopwatch. Results Data was available for 228 patients arriving at 18 hospitals and 6 helipads. The median offload time by road ambulance was 2 min 34 s. The range of helicopter offload times was from 4 min 20 s to 21 min 37 s, which mainly depended on the location of the helipad. Conclusion An additional 2–3 min should be added to the ETA by road ambulance. There is large variation in helicopter offload times depending on the helipad location (secondary/offsite helipad taking longer than a primary rooftop helipad or primary same-level helipads). HEMS services should review their own offload times at local sites to be able to provide a more accurate ETA.

Retrospective Cohort Analysis of the Relationship Between Emergency Department Length of Stay and Timing of First Laboratory Orders.

Background The efficiency of patient management in the Emergency Department (ED) is critical for optimizing healthcare delivery.Provider in triage (PIT) and similar ED flow models attempt to expedite throughput by decreasing the amount of time between patient arrival and initial order placement.The exact relationship between ED length of stay (LOS) and the timing of the first laboratory order, however, is unclear.The varying speed at which clinicians of different ages place laboratory orders and move patients through an ED also is understudied. Methods A retrospective analysis was conducted using SQL from the Clarity data archive to pull all patient encounters in 2023. Linear regression models using Analysis ToolPak in Microsoft Excel were used to create and examine the relationship between LOS and the timing of the first laboratory order. Secondary outcomes using the same models were created to analyzethe impact of clinician age on LOS and the relationship between clinician age and the timing of first laboratory orders. Results Two hundred sixty-nine thousand eight hundred and eight ED visits were reviewed across three academic and 17 community emergency departments. We report a weak but statistically significant positive relationship between the timing of the first laboratory order and LOS (R² = 0.0378, p < 0.001). Secondary outcomes indicated a very weak negative correlation between clinician age and LOS (R² ≈ 0, p < 0.001) and no significant relationship between clinician age and the timing of the first laboratory order (R² ≈ 0, p > 0.05). Conclusion The timing of the first laboratory order is a significant, albeit weak, predictor of LOS in the ED. Clinician age has minimal impact on LOS and does not significantly influence the timing of the first laboratory order.

Is time to first CT scan in patients with isolated severe traumatic brain injury prolonged when prehospital arterial cannulation is performed? A retrospective non-inferiority study

BackgroundInvasive blood pressure measurement is the in-hospital gold standard to guide hemodynamic management and consecutively cerebral perfusion pressure in patients with traumatic brain injury (TBI). Its prehospital use is controversial since it may delay further care. The primary aim of this study was to test the hypothesis that patients with severe traumatic brain injury who receive prehospital arterial cannulation, compared to those with in-hospital cannulation, do not have a prolonged time between on-scene arrival and first computed tomography (CT) of the head by more than ten minutes.MethodsThis retrospective study included patients 18 years and older with isolated severe TBI and prehospital induction of emergency anaesthesia who received treatment in the resuscitation room of the University Hospital of Graz between January 1st, 2015, and December 31st, 2022. A Wilcoxon rank-sum test was used to test for non-inferiority (margin = ten minutes) of the time interval between on-scene arrival and first head CT.ResultsWe included data of 181 patients in the final analysis. Prehospital arterial line insertion was performed in 87 patients (48%). Median (25–75th percentile) durations between on-scene arrival and first head CT were 73 (61–92) min for prehospital arterial cannulation and 75 (60–93) min for arterial cannulation in the resuscitation room. Prehospital arterial line insertion was significantly non-inferior within a margin of ten minutes with a median difference of 1 min (95% CI − 6 to 7, p = 0.003).ConclusionTime-interval between on-scene arrival and first head CT in patients with isolated severe traumatic brain injury who received prehospital arterial cannulation was not prolonged compared to those with in-hospital cannulation. This supports early out-of-hospital arterial cannulation performed by experienced providers.

Operational outcomes of community-to-academic emergency department patient transfers

BackgroundMany patients require inter-hospital transfer (IHT) to tertiary Emergency Departments (EDs) to access specialty services. The purpose of this study is to determine operational outcomes for patients undergoing IHT to a tertiary academic ED, with an emphasis on timing and specialty consult utilization. MethodsThis study was a retrospective observational cohort study at a tertiary academic hospital from 10/1/22–9/30/23. Key operational metrics, including specialty consultations, were queried from the ED Information System (EDIS). Data were analyzed for temporal variation in operational metrics and consulting patterns between transferred and non-transferred patients, stratified by time of day and week. ResultsDuring the study period there were 50,589 ED patient encounters, of which 3196 (6.3 %) were identified as IHTs. Transferred patients made up a larger proportion of patient arrivals in off-hours compared to daytime hours (p < 0.001). Transferred patients were more likely to be admitted to the hospital (76 % vs 35 %, p < 0.001), go directly to a procedure (6 % vs 2 %, p < 0.001), or receive a specialty consult (90 % vs 42 %, p < 0.001), regardless of the day of week or time of day. Relative risk of consults amongst transferred patients varied by service, though was particularly increased amongst surgical sub-specialties. ConclusionsTransferred patients represented a larger proportion of ED volume during evening and overnight hours, received more consults, and had higher likelihood of admission. Consults for transfers were disproportionately surgical subspecialties, though few patients went directly to a procedure. These findings may have operational implications in optimizing availability of specialty services across regionalized health systems.

Exploring Campus Configuration and Patient Arrival Behaviors at Large Hospitals: An Integrated Post-Occupancy Evaluation (POE) Protocol.

This study addresses the challenges in hospital navigation, particularly focusing on the sequence of arrival experiences through foot traffic or driving within a medical campus. While previous research has emphasized wayfinding in interiors, this study recognizes the importance of transition from outdoor to indoor spaces in the hospital arrival zone. Twofold research efforts include: (1) Exploring vehicular and pedestrian behaviors in a hospital arrival zone using Space Syntax Analyses (SSA), and (2) Validating the SSA results using empirical data collected from onsite observations and behavior mapping. A series of axial map analyses were conducted on the hospital campus and building arrival zone regarding spatial connectivity and integration, depth of spaces, and wayfinding intelligibility based on vehicular and pedestrian movement paths. Systematic behavioral data collection includes vehicle shadowing (10 h) and pedestrian mapping (20 h) in the building arrival zone. Space Syntax Analyses indicates high intelligibility scores for vehicles (R = .91) and pedestrian (R = .78) circulation patterns; traffic situations were visualized via axial maps. A dataset of 219 vehicles and 2,096 pedestrian behaviors was analyzed and visualized using diagrams and heatmaps, identifying different occupancy patterns within the space. Correlational analyses indicated strong correlations between the results: connectivity and integration scores are significantly correlated with both vehicular and pedestrian traffic volumes. Preliminary findings of the study validated an integrated protocol to evaluate the impacts of campus configuration and building approach design on patient arrival and spatial navigation at large hospitals, serving as a POE protocol involving SSA.

Prediction of clinical deterioration risk at 8 hours after arrival in emergency department in non‐traumatic patients using trends in modified early warning score level

AbstractBackgroundImproving the quality of medical care in hospitals is a major priority for all departments. The early warning score (EWS) trend is an effective early risk stratification tool that reflects the changes in patient condition and allows better assessment of deterioration risk.ObjectiveThe aim of this study was to investigate whether utilizing the trend of the modified early warning score (MEWS) level within 4 h of a patient's arrival in the emergency department (ED) could identify patients at risk of clinical deterioration at 8 h after arrival in the ED.MethodsWe conducted a retrospective observational study of non‐trauma patients who had at least two vital sign measurements (Glasgow Coma Scale score, heart rate, blood pressure, respiratory rate, and body temperature) within 8 h of arriving in the ED. The primary outcome was patients who had MEWS ≥ 4 at 8 h after arrival in the ED. We performed multivariate logistic regression analysis using age, sex, MEWS level at arrival in the ED, MEWS level within 4 h after arrival in the ED, and MEWS level trend over time.ResultsAmong the 5825 patients, 680 (11.7%) were at risk of deterioration at 8 h after arrival in the ED. To predict the risk of deteriorating conditions (MEWS ≥ 4), utilizing the MEWS level trend within 4 h of arrival in the ED was more effective in identifying patients at risk of deterioration after 8 h of arrival in the ED compared to using a single MEWS value during the ED stay. The corresponding areas under the receiver operating characteristic curve were 0.756 (95% confidence interval (CI) 0.734–0.778) and 0.846 (95% CI 0.827–0.865), respectively (p &lt; 0.01).ConclusionsThe proposed trend‐based predictive model for MEWS levels can alert healthcare personnel regarding patients at increased risk of deterioration (MEWS ≥ 4), potentially reducing mortality rates during ED stays.

Impact of Surgical Team Involvement at the Time of Trauma Activation for Pediatric Patients With Motorized Cycle or All-Terrain Vehicle Injury Mechanism.

At our institution, level 2 trauma (L2T) activations are primarily managed by pediatric emergency medicine (PEM) physicians, whereas level 1 activations are co-managed by pediatric surgery and PEM. Starting in September 2019, the response to L2T activations due to all-terrain vehicles or motorized cycles (ATVs/MCs) changed to include surgical assessment upon patient arrival due to increased likelihood of significant injuries and need for higher level of care. The impact of PEM/surgery co-management of ATV/MC L2T patients on time to an admission decision is unknown. We retrospectively reviewed patients <18 years of age presenting to our American College of Surgeons-verified level 1 pediatric trauma center as L2T activations with ATV/MC mechanism between 1/2016 and 10/2022. Patient demographics, injury characteristics, details of imaging, interventions, and emergency department (ED) course were recorded. The χ2 and Fisher exact tests were performed. One hundred fifty-five patients met the inclusion criteria prior to augmenting our response to include surgical presence at L2T-ATV/MC activations, and 216 patients were treated after our protocol change. There were no statistically significant differences in age, sex, race, transfer status, vehicle subtype, or Injury Severity Scores between groups. Trauma surgery was involved in the care of 74.8% of L2T-ATV/MC patients before protocol augmentation and 87% after (P = 0.003). Time to an admission decision significantly decreased by 22.5 minutes (117 minutes [interquartile range, 72-178] vs 94.5 minutes [interquartile range, 60-139]; P = 0.023) after protocol augmentation. There was a trend toward increased completion of mandated postsecondary survey communication huddles after protocol change (84.6% to 91.2%, P = 0.089). The median total ED length of stay did not differ between admitted and discharged patients. Early surgical assessment for pediatric patients with ATV/MC injuries improved time to an admission decision and trauma communication huddle compliance. Next steps include identifying process improvement opportunities to decrease ED total length of stay for patients with ATV/MC injuries.

Hypothermia and the Global War on Terror: 18 Years of Minimal Progress.

The association between hypothermia, coagulopathy, and acidosis in trauma is well described. Hypothermia mitigation starts in the prehospital setting; however, it is often a secondary focus after other life-saving interventions. The deployed environment further compounds the problem due to prolonged evacuation times in rotary wing aircraft, resource limitations, and competing priorities. This analysis evaluates hypothermia in combat casualties and the relationship to resuscitation strategy with blood products. Using the data from the Department of Defense Joint Trauma Registry from 2003 to 2021, a retrospective analysis was conducted on adult trauma patients. Inclusion criteria was arrival at the first military treatment facility (MTF) hypothermic (<95ºF). Study variables included: mortality, year, demographics, battle vs non-battle injury, mechanism, theater of operation, vitals, and labs. Subgroup analysis was performed on severely injured (15 < ISS < 75) hypothermic trauma patients resuscitated with whole blood (WB) vs only component therapy. Of the 69,364 patients included, 908 (1.3%) arrived hypothermic; the vast majority of whom (N = 847, 93.3%) arrived mildly hypothermic (90-94.9°F). Overall mortality rate was 14.8%. Rates of hypothermia varied by year from 0.7% in 2003 to 3.9% in 2014 (P <0.005). On subgroup analysis, mortality rates were similar between patients resuscitated with WB vs only component therapy; though base deficit values were higher in the WB cohort (-10 vs -6, P < 0.001). Despite nearly 20 years of combat operations, hypothermia continues to be a challenge in military trauma and is associated with a high mortality rate. Mortality was similar between hypothermic trauma patients resuscitated with WB vs component therapy, despite greater physiologic derangements on arrival in patients who received WB. As the military has the potential to conduct missions in environments where the risk of hypothermia is high, further research into hypothermia mitigation techniques and resuscitation strategies in the deployed setting is warranted.

What influences ambulance clinician decisions to pre-alert emergency departments: a qualitative exploration of pre-alert practice in UK ambulance services and emergency departments

BackgroundAmbulance clinicians use pre-alerts to inform receiving hospitals of the imminent arrival of a time-critical patient considered to require immediate attention, enabling the receiving emergency department (ED) or other clinical...

The impact of admission modes on the treatment outcome and in-hospital mortality rate of STEMI patients undergoing PPCI

The current research on ST elevation myocardial infarction (STEMI) patients has been mostly limited to Door-to-Balloon (D-to-B) time. This study aimed to compare the effects of different hospital admission modes to on the time metrics of patients undergoing primary percutaneous coronary intervention (PPCI). It also examined the effects of these modes on in-hospital mortality and other influencing factors. The goal was to prompt healthcare facilities at all levels, including chest hospitals, the Centers for Disease Control and Prevention (CDC), and communities to take measures to enhance the treatment outcomes for patients with STEMI. A total of 1053 cases of STEMI patients admitted to Tianjin Chest Hospital from December 2016 to December 2023 and successfully underwent PPCI were selected for this study. They were divided into three groups based on the admission modes: the ambulances group (363 cases), the self-presentation group (305 cases), and the transferred group (385 cases). Multivariate logistic regression was used to explore the impact of different modes of hospital admission on the standard-reaching rate of key treatment time metrics. The results showed that the S-to-FMC time of transferred patients (OR = 0.434, 95% CI 0.316–0.596, P < 0.001) and self-presentation patients (OR = 0.489, 95% CI 0.363–0.659, P < 0.001) were more likely to exceed the standard than that of ambulance patients; The cath lab pre-activation time of self-presented patients was also less likely to meet the standard than that of ambulance patients (OR = 0.695, 95% CI 0.499–0.967, P = 0.031); D-to-W time of self-presentation patients was less likely to reach the standard than that of ambulance patients (OR = 0.323, 95% CI 0.234–0.446, P < 0.001);However, the FMC-to-ECG time of self-presentation patients was more likely to reach the standard than that of ambulance patients (OR = 2.601, 95% CI 1.326–5.100, P = 0.005). The Cox proportional hazards model analysis revealed that for ambulance patients, the time spent at each key treatment time point is shorter, leading to lower in-hospital mortality rate (HR0.512, 95% CI 0.302–0.868, P = 0.013) compared to patients admitted by other means. We found that direct arrival of STEMI patients to the PCI hospital via ambulance at the onset of the disease significantly reduces the S-to-FMC time, FMC-to-ECG time, D-to-W time, and catheterization room activation time compared to patients who self-present. This admission mode enhances the likelihood of meeting the benchmark standards for each time metric, consequently enhancing patient outcomes.

Optimizing Cancer Patient Classification Forecasting With Bayesian Pattern Recognition

This research examines patterns in cancer treatment by analyzing electronic medical record (EMR) data, with the goal of optimizing healthcare provision and improving patient outcomes. The study aims to apply Bayesian prediction models and regression analysis to determine the posterior probability of comorbidities and forecast patient arrivals. The implemented algorithms allow for the customization of treatment techniques, resulting in enhanced effectiveness of therapy and improved decision-making in healthcare delivery. Utilizing Bayesian approaches to analyze EMR data provides insights into the intricacies of cancer treatment and related expenses. The application of this study could be useful to enhance healthcare information systems and informatics by using data-driven insights to improve cancer care practices and operational efficiency in hospital settings.

Perfusion Imaging‐Based Triage for Acute Ischemic Stroke: Trends in Use and Impact on Clinical Outcomes

Background Perfusion imaging (PI) serves as a valuable tool for triaging patients with acute ischemic stroke for endovascular treatment (EVT). This study aims to investigate trends in PI use and its impacts on EVT rates and clinical outcomes, particularly focusing on variations across different time windows. Methods Data from a prospective, nationwide, acute stroke registry in South Korea were analyzed retrospectively. PI was regarded as treatment‐decision imaging when conducted either (1) prior to EVT, or (2) within 3 hours from hospital arrival in patients not receiving EVT. The study spanned 3 epochs: 2011–2014, 2015–2017, and 2018–2021. Based on the time from onset to arrival, patients were categorized into 2 time windows: early (0–6 hours) and late (6–24 hours). We evaluated EVT rates and clinical outcomes in patients with anterior large vessel occlusion. Results From 2011 to 2021 among 49 449 patients with acute ischemic stroke presenting within 24 hours of onset, PI use rates declined from 36.9% to 30.1%. In the early window, rates dropped from 48.4% to 32.4%, whereas in the late window, they increased from 23.5% to 27.8%. Factors such as older age, atrial fibrillation, anterior large vessel occlusion, and severe stroke were associated with higher rates in the late window. Conversely, younger age and male sex were associated with higher rates in the early window. For patients with anterior large vessel occlusion, PI use increased the likelihood of receiving EVT in the late window and minimized the risk of symptomatic intracranial hemorrhage in the early window. However, 3‐month functional outcomes and mortality were. unaffected. Conclusion The study revealed distinct trends in PI use across early and late time windows, indicating varying roles of PI in these time frames. However, the definitive value and necessity of PI in guiding EVT decision‐making remain unclear, underscoring the need for further research

Improving Time to Antibiotics in Patients with Long Bone Open Fractures Presenting to the Pediatric Emergency Department.

To evaluate a new triage workflow aimed at improving time to intravenous antibiotics in open fractures to under 60 minutes of arrival to the Pediatric Emergency Department. Design: A prospective, multi-disciplinary, quality improvement project. A tertiary care, Level 1 Pediatric Trauma hospital in New York. Patients aged 17 and under with long bone open fractures between June 1, 2020 and May 31, 2021, excluding those transferred from an outside hospital, with non-long bone fractures and non-fractured, injured extremities.Outcome Measures and Comparisons: The new workflow involved splint removal and skin assessment during triage to identify open fractures. Serial Plan-Do-Study-Act (PDSA) cycles aimed to refine this workflow and reduce antibiotic administration time. Primary outcome: Percentage of open fracture patients receiving intravenous (IV) antibiotics within 60 minutes. Secondary outcome: Assessment of triage documentation regarding splint presence and removal. An exact Wilcoxon two-sample test compared time from patient arrival (quick-registration) to antibiotic administration before, during and after workflow implementation on 6/1/2020. A total of 51 patients (33 male) aged 17 and under, with open fractures were reviewed: 25 during the pre-intervention phase 1/1/18-5/31/20, 14 during the intervention phase 6/1/20-5/31/21, and 12 during the post-intervention phase 6/1/21-11/30/21. Continuous improvement efforts via PDSA cycles focusing on education, reinforcement, recognition, and barrier identification increased the percentage of patients receiving antibiotics within 60 minutes from 36% to 87.5%. Median time and Interquartile range (IQR: 25th percentile-75th percentile) from quick-registration to administration was 86 minutes (IQR: 51-147) before 6/1/2020, and 34 minutes (IQR: 16- 42) thereafter. The implemented triage workflow led to improved time to antibiotics to within 60 minutes for patients with long bone open fractures in the Pediatric Emergency Department. Level III. See Instructions for Authors for a complete description of levels of evidence.

Poisson-stopped sum Lévy-type processes with application to stochastic modeling of hospital arrivals

Patient arrivals at a hospital typically occur in clusters and the arrivals count data exhibits over-dispersion. To model these characteristics, the Lévy-type processes based on Poisson-stopped sum distributions are proposed as alternatives to the non-homogeneous Poisson process (NHPP), a popular model for hospital arrivals. The arrival rate for the NHPP is a deterministic function of time that does not account for arrivals in clusters while the genesis of Poisson-stopped sum distributions arises from modeling event clusters. Data on daily scheduled patient arrivals over 15-minute intervals collected from a Malaysian public hospital were used to illustrate the application of the Levy-type processes in healthcare management. It is shown that the proposed Lévy-type negative binomial and Lévy-type Thomas processes fit the data better than the NHPP. In addition, the Levy-type processes are computationally simpler and hence, it is envisaged that they will be potentially useful for implementation in staff scheduling and resource allocations.