Decreasing lab turnaround time improves emergency department throughput and decreases emergency medical services diversion: a simulation model

Point-of-care testing improves care timeliness in the emergency department. A multicenter randomized clinical trial (study POCTUR)

OBJECTIVES

Emergency department (ED) crowding is a widespread problem that positions patients at risk. The desire to improve the ED throughput requires novel approaches. Point-of-care testing (POCT) has emerged as useful technology that could contribute to create more efficient patient flow and better timeliness in the ED. The main objective of our study is to demonstrate, in a multicenter study, that POCT benefits care timeliness in the ED.

METHODS

We conducted a multicenter and cluster randomized study. A total of 3,200 patients. We randomly assigned patients to a POCT group or Central Laboratory Group. The primary outcome was the ED time to clinical decision. The secondary outcome included the length of stay and the laboratory turnaround time. Readmission within the seven after discharge was also calculated.

RESULTS

The primary finding of this study is a strategy based on POCT that aims to significantly improve care timeliness in the ED. We found significant reductions in all outcomes regardless of presentation reason, patient disposition or hospital type. Time to clinical decision decreased by 75.2 min (205-129.8), length of stay by 77.5 min (273.1-195.6) and laboratory turnaround time by 56.2 min (82.2-26) in the POCT group. No increase in readmission was found.

CONCLUSIONS

Our strategy represents a good approach to optimize timeliness in the ED. It should be seen as a starting point for further operational research focusing on POCT for improving throughput and reducing crowding in the ED.

Key performance indicators in emergency department simulation: a scoping review

BACKGROUND

One way to measure emergency department (ED) performance is using key performance indicators (KPIs). Thus, identifying reliable KPIs can be critical in appraising ED performance. This study aims to introduce and classify the KPIs related to ED in simulations through the Balanced Scorecard (BSC) framework.

METHOD

This scoping review was performed in 2024 without any time limitation based on the Arksey and O'Malley framework. The electronic databases of PubMed, Scopus, Web of Science, EMBASE, MathSciNet, Google Scholar, and Persian databases such as IranDoc, MagIran, and SID were searched. The winter simulation conference was also investigated through manual searching. Furthermore, the screening process of included studies was based on the PRISMA reporting checklist. The data were analyzed by content analysis deductively and inductively. The extracted KPIs were coded as analysis units and transferred to the MAXQDA2020 software. Then, the KPIs were integrated and organized based on similarity. Moreover, the two authors discussed disagreements to reach a consensus on the final codes. The final KPIs classification was carried out based on the BSC framework to achieve a holistic view. The BSC is a managerial tool for evaluating organizations' performance via different dimensions. It contains four main dimensions: Customer, Financial, Growth and infrastructure, and Internal Processes. In addition, the management (vision, objectives, and strategies) has been positioned at the heart of the framework.

RESULT

Initially, 4257 articles were retrieved, and 125 articles were included after screening. Finally, 109 KPIs were extracted and classified into five categories. They include input, processing time, cost and revenue, utilization and productivity, and output indicators. Then, each category of KPIs was positioned in the BSC framework dimensions. Additionally, the findings showed that most indicators were related to the time of process indicators.

CONCLUSIONS

The study findings have collected a comprehensive set of KPIs to measure ED performance in simulations. These results can assist policymakers, managers, and researchers in measuring ED performance and help improve ED performance through a holistic view.

Result Push Notifications Improve Time to Emergency Department Disposition: A Pragmatic Observational Study

STUDY OBJECTIVE

Emergency department (ED) crowding has multiple causative factors, including delayed patient throughput. Patient care efficiency may be improved by addressing delays in decisionmaking following diagnostic testing results. We examined the influence of sending subscribed result push notifications to ED clinicians' smartphones on reducing the time to disposition decision.

RESULTS

All ED patient visits between October 2022 and October 2023 with a laboratory or imaging result during the ED visit and a disposition within 6 hours of the last result were included. We identified whether the last resulted study before the ED disposition decision had a subscribed push notification by the clinician who dispositioned the patient. The primary outcome was the time between the last study result and the first disposition decision. Generalized estimating equation analysis was used to control for variables including patient demographics, clinical factors, and discharging clinician.

RESULTS

The final study population included 237,872 encounters. The median patient age was 50 years, and 55.6% of patients were women. During the study period, 27.1% of clinicians used push notifications at least once. Of unique orders, 1.5% had a subscribed result push notification, including 0.9% of laboratory orders and 4.7% of imaging orders. The time between last result to disposition decision was 18 minutes (95% confidence interval [CI] 15 to 21) faster when a push notification was requested.

CONCLUSION

Elective push notification of test results was associated with reduced time between the last laboratory or imaging result and ED disposition decision. Further study is needed to determine its effect on overall ED throughput.

Logistic analysis of delayed reporting of emergency blood potassium and comparison of improved outcomes

Potassium testing is an essential test in emergency medicine. Turnaround time (TAT) is the time between specimen receipt by the laboratory and the release of the test report. A brief in-laboratory TAT increases emergency department effectiveness. Optimizing processes to shorten TAT using other tools requires extensive time, resources, training, and support. Therefore, we aimed to find a convenient way to shorten TAT, identify risk factors affecting the timeliness of emergency potassium test reporting, and verify the intervention's effects. The dependent variable was emergency potassium reporting time > 30 or < 30 min. Logistic analysis was performed on monitorable factors, such as sex, age, potassium results, number of items, specimen processing time (including centrifugation and time before specimen loading), critical value ratio, instrument status, shift where the report was issued, specimen status, and work experience, as independent variables. In the multivariate analysis, work experience, instrument failure rate, and specimen processing time were risk factors for emergency blood potassium reporting exceeding 30 min. Improvement measures were implemented, significantly decreasing the timeout rate for acute potassium reporting. Our study confirms the usefulness of logistics in reducing the time required to report potassium levels in the emergency department, providing a new perspective on quality management.

Analytical performance comparing siemens whole blood point of care Atellica VTLi to the central laboratory plasma Atellica IM high-sensitivity cardiac troponin I assays

INTRODUCTION

This study examined the analytical performance of a whole blood (WB) point of care (POC) hs-cTnI assay compared to a plasma central laboratory hs-cTnI assay in patients presenting with ischemic symptoms to a US emergency department.

METHODS

Fresh WB specimens collected at 0 and 2 h from 1089 consecutive patients (2152 total from 1076 matched specimens) were analyzed for hs-cTnI using WB on POC Siemens Atellica VTLi assay and plasma on central laboratory Siemens Atellica IM assay. Concordances were determined based on concentrations ranging from < limit of detection (LoD), LoD to overall and sex specific 99th percentiles from both the IFCC manufacturer package inserts and Universal Sample Bank (USB) data, and > 99th percentiles. Method comparisons were calculated using Passing Bablok regression and Bland Altmann plots, and linear regression determined by Pearson correlation coefficient.

RESULTS

Baseline concentration comparisons showed: POC VTLi < LoD 4-5 %, ≥ LoD 95 %; Atellica IM < LoD 5-7 %, and ≥ LoD 94-95 %. From the 2152 paired 0 and 2-hour samples, based on 99th percentiles, overall concordance was 91-92 % (kappa 0.72-0.77) and discordance 8 %. Passing Bablok regression analysis using 1924 specimens between LoD to 500 ng/L showed: slopes 0.469-0.490; y-intercepts 1.753-2.028; r values 0.631-0.817. Pearson correlation coefficient showed moderate to strong correlation strength, even with up to 53 % cTnI concentrations variance (Passing Bablok slopes) vs 27.0-40.1 % (Bland-Altmann plots).

CONCLUSIONS

Up to 95 % of measured samples were > LoD for both the POC (Atellica VTLi) and central laboratory (Atellica IM) hs-cTnI assays. Moderate to strong concordance and correlation were observed between assays, despite up to 53 % variances in cTnI concentration.

Single High-Sensitivity Point-of-Care Whole-Blood Cardiac Troponin I Measurement to Rule Out Acute Myocardial Infarction at Low Risk

BACKGROUND

High-sensitivity cardiac troponin (hs-cTn) laboratory assays are used to rule out myocardial infarction (MI) on presentation, but prolonged result turnaround times can delay patient management. Our primary aim was to identify patients at low risk of index MI using a rapid point-of-care (POC) whole-blood hs-cTnI assay at presentation with potential early patient discharge.

METHODS

Consecutive patients presenting to the emergency department from 2 prospective observational studies with suspected acute coronary syndrome were enrolled. A POC hs-cTnI assay (Atellica VTLi) threshold using whole blood at presentation, which resulted in a negative predictive value of ≥99.5% and sensitivity of >99% for index MI, was derived (SEIGE [Safe Emergency Department Discharge Rate]) and validated with plasma (SAMIE [Suspected Acute Myocardial Infarction in Emergency]). Event adjudications were established with hs-cTnI assay results from routine clinical care. The primary outcome was MI at 30 days.

RESULTS

A total of 1086 patients (8.1% with MI) were enrolled in a US derivation cohort (SEIGE) and 1486 (5.5% MI) in an Australian validation cohort (SAMIE). A derivation whole-blood POC hs-cTnI concentration of <4 ng/L provided a sensitivity of 98.9% (95% CI, 93.8%-100%) and negative predictive value of 99.5% (95% CI, 97.2%-100%) for ruling out MI. In the validation cohort, the sensitivity was 98.8% (95% CI, 93.3%-100%), and negative predictive value was 99.8% (95% CI, 99.1%-100%); 17.8% and 41.8%, respectively, were defined as low risk for discharge. The 30-day adverse cardiac events were 0.1% (n=1) for SEIGE and 0.8% (n=5) for SAMIE.

CONCLUSIONS

A POC whole-blood hs-cTnI assay permits accessible, rapid, and safe exclusion of MI and may expedite discharge from the emergency department.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT04772157. URL: https://www.australianclinicaltrials.gov.au/anzctr_feed/form; Unique identifier: 12621000053820.

Increased specimen minimum volume reduces turnaround time and hemolysis

Quantity not sufficient (QNS) specimens with minimal blood volume for testing are common in clinical laboratories. However, there is no universal definition of minimum volume for a QNS specimen and little data is available addressing the impact of QNS / low volume specimens on turnaround time (TAT) and sample hemolysis. We compared the TAT and hemolysis index from samples ≤1.0 mL to all specimens received and quantified the number of specimens with reduced blood volume. A new QNS policy requiring ≥1.5 mL of sample in a blood tube for laboratory analysis was implemented and the results were assessed by sample hemolysis and TAT. The median laboratory TAT for samples with ≤1.0 mL of blood was 61 min (Interquartile Range, IQR: 50-82), in contrast to 28 min (26-34) for all samples. The hemolysis index for samples ≤1.0 mL was 112 (65-253) and 15 (8-29) for all samples. Requirement of a minimum volume of 1.5 mL of blood resulted in the proportion of samples with TAT ≥ 60 min to decrease from 10.4% to 4.24% in the ED, and for specimens cancelled due to hemolysis to decrease from 4.24% to 3.38%. This policy was introduced hospital wide with similar effects. Together, we correlate limited specimen volume with an increase in laboratory TAT and hemolysis. Implementation of a QNS policy of ≥1.5 mL and provider education provided a significant and durable reduction in TAT and specimen hemolysis.

Emergency severity level-3 patient flow based on point-of-care testing improves patient outcomes

BACKGROUND

Overcrowding of the Emergency Department is rapidly becoming a global challenge and a major source of concern for emergency physicians. The desire to improve Emergency Department throughput requires novel approaches to patient flow.

MATERIALS AND METHODS

We conducted a prospective and cluster-randomized study, to evaluate the impact in patient outcomes of a new patient flow based on Point-of-Care Testing (POCT). A total of 380 Emergency Severity Level-3 patients were enrolled and studied in two different groups, interventional arm (laboratory analyses performed on POCT analyzers implemented in the Emergency Department) or control arm (central laboratory). The primary outcome was the Emergency Department length of stay. Secondary outcome included the time to first medical intervention, the laboratory turnaround time and the time to disposition decision. Readmission within the 7 days after discharge was also calculated.

RESULTS

Length of stay significantly decreased by 88.50 min (from 247.00 to 158.50), time to disposition decision by 89.00 min (from 192.00 to 103.00) and laboratory turnaround time by 67.11 min (from 89.84 to 22.73) in the POCT group. No increase in readmission was found.

CONCLUSION

Our strategy based on POCT represents a good approach to optimize patient flow in the Emergency Department and it should be seen as a starting point for further studies focusing on improving throughput.

Cervical cancer diagnosis and treatment delays in the developing world: Evidence from a hospital-based study in Zambia

Expedited diagnostic processes for all suspected cervical cancer cases remain essential in the effort to improve clinical outcomes of the disease. However, in some developing countries like Zambia, there is paucity of data that assesses factors influencing diagnostic and treatment turnaround time (TAT) and other metrics vital for quality cancer care. We conducted a retrospective hospital-based study at the Cancer Diseases Hospital (CDH) for cervical cancer cases presenting to the facility between January 2014 and December 2018. Descriptive statistics were used to summarize demographic characteristics while a generalized linear model of the negative binomial was used to assess determinants of overall TAT. Our study included 2121 patient case files. The median age was 49 years (IQR: ±17) and most patients (n = 634, 31%) were aged between 41 and 50 years. The International Federation of Gynaecology and Obstetrics (FIGO) Cancer stage II (n = 941, 48%) was the most prevalent while stage IV (n = 103, 5.2%) was the least. The average diagnostic TAT in public laboratories was 1.48 (95%CI: 1.21-1.81) times longer than in private laboratories. Furthermore, referral delay was 55 days (IQR: 24-152) and the overall TAT (oTAT) was 110 days (IQR: 62-204). The age of the patient, HIV status, stage of cancer and histological subtype did not influence oTAT while marital status influenced oTAT. The observed longer oTAT may increase irreversible adverse health outcomes among cervical cancer patients. There is a need to improve cancer care in Zambia through improved health expenditure especially in public health facilities.

Prehospital emergency medical technicians can perform ultrasonography and blood analysis in prehospital evaluation of patients with chronic obstructive pulmonary disease: a feasibility study

INTRODUCTION

Crowding of the emergency departments is an increasing problem. Many patients with an exacerbation of chronic obstructive pulmonary disease (COPD) are often treated in the emergency departments for a very short period before discharged to their homes. It is possible that this treatment could take place in the patients' homes with sufficient diagnostics supporting the treatment. In an effort to keep the diagnostics and treatment of some of these patients in their homes and thus to reduce the patient load at the emergency departments, we implemented a prehospital treat-and-release strategy based on ultrasonography and blood testing performed by emergency medical technicians (EMT) or paramedics (PM) in patients with acute exacerbation of COPD.

METHOD

EMTs and PMs were enrolled in a six-hour educational program covering ultrasonography of the lungs and point of care blood tests. During the seasonal peak of COPD exacerbations (October 2018 - May 2019) all patients who were treated by the ambulance crews for respiratory insufficiency were screened in the ambulances. If the patient had uncomplicated COPD not requiring immediate transport to the hospital, ultrasonographic examination of the lungs, measurements of C-reactive protein and venous blood gases analyses were performed. The response to the initial treatment and the results obtained were discussed via telemedical consultation with a prehospital anaesthesiologist who then decided to either release the patient at the scene or to have the patient transported to the hospital. The primary outcome was strategy feasibility.

RESULTS

We included 100 EMTs and PMs in the study. During the study period, 771 patients with respiratory insufficiency were screened. Uncomplicated COPD was rare as only 41patients were treated according to the treat-and-release strategy. Twenty of these patients (49%) were released at the scene. In further ten patients, technical problems were encountered hindering release at the scene.

CONCLUSION

In a few selected patients with suspected acute exacerbations of COPD, it was technically and organisationally feasible for EMTs and PMs to perform prehospital POCT-ultrasound and laboratory testing and release the patients following treatment. None of the patients released at the scene requested a secondary ambulance within the first 48 h following the intervention.

Ratiometric Bioluminescent Indicator for Simple and Rapid Diagnosis of Bilirubin

Bilirubin in human blood is highly important as a general index of one's physical condition because its concentration changes under the influence of several diseases. In particular, in newborns, jaundice is one of the most common diseases involving unconjugated bilirubin (UCBR), causing serious symptoms such as nuclear jaundice and deafness. Therefore, a frequent measurement of the UCBR levels in the blood is important. Here, we report a ratiometric bioluminescent indicator, BABI (bilirubin assessment with a bioluminescent indicator), that changes the emission color from blue to green depending on the UCBR concentration in a sample. Owing to the use of a bioluminescence signal that has a higher signal-to-noise ratio than the absorption and fluorescence signal, BABI enables highly sensitive and quantitative detection of UCBR for small blood samples using a smartphone camera. The establishment of a UCBR measurement assay using BABI provides the possibility of a simple and rapid method for blood-based diagnosis using bioluminescent indicators and a versatile mobile device.

Modeling Emergency Department crowding: Restoring the balance between demand for and supply of emergency medicine

Emergency Departments (EDs) worldwide are confronted with rising patient volumes causing significant strains on both Emergency Medicine and entire healthcare systems. Consequently, many EDs are in a situation where the number of patients in the ED is temporarily beyond the capacity for which the ED is designed and resourced to manage-a phenomenon called Emergency Department (ED) crowding. ED crowding can impair the quality of care delivered to patients and lead to longer patient waiting times for ED doctor's consult (time to provider) and admission to the hospital ward. In Singapore, total ED attendance at public hospitals has grown significantly, that is, roughly 5.57% per year between 2005 and 2016 and, therefore, emergency physicians have to cope with patient volumes above the safe workload. The purpose of this study is to create a virtual ED that closely maps the processes of a hospital-based ED in Singapore using system dynamics, that is, a computer simulation method, in order to visualize, simulate, and improve patient flows within the ED. Based on the simulation model (virtual ED), we analyze four policies: (i) co-location of primary care services within the ED, (ii) increase in the capacity of doctors, (iii) a more efficient patient transfer to inpatient hospital wards, and (iv) a combination of policies (i) to (iii). Among the tested policies, the co-location of primary care services has the largest impact on patients' average length of stay (ALOS) in the ED. This implies that decanting non-emergency lower acuity patients from the ED to an adjacent primary care clinic significantly relieves the burden on ED operations. Generally, in Singapore, there is a tendency to strengthen primary care and to educate patients to see their general practitioners first in case of non-life threatening, acute illness.

Impact of creatinine screening on contrast-induced nephropathy following computerized tomography for stroke

OBJECTIVE

This study sought to evaluate rates of acute kidney injury in patients undergoing contrast-enhanced computerized tomography for acute stroke in the emergency department (ED) before and after the cessation of creatinine screening.

METHODS

This retrospective study compared ED patients receiving contrast-enhanced imaging for suspected acute stroke with and without protocolized creatinine screening. The primary outcome was CIN, defined as an increase in serum creatinine of 0.3 mg/dl within 48 hours or 50% above baseline within 7 days after contrast administration. Secondary outcomes consisted of CIN based on other definitions, renal impairment greater than 30 days from contrast administration, hemodialysis, and mortality. Outcomes were compared using difference of proportions and odds ratios with 95% confidence intervals.

RESULTS

This study included 382 subjects, with 186 and 196 in the screening and post-screening cohorts, respectively. No significant differences were observed for CIN (7.0% vs 7.1%, difference 0.1% [95% CI -5.6-5.1%], OR 1.02 [95% CI 0.47-2.24]), renal impairment greater than 30 days post-contrast (8.4% vs 7.5%, OR 0.88 [0.38-2.07]), or mortality (index visit: 4.8% vs 2.6%, OR 0.51 [0.17-1.57], 90-day follow-up: 6.7% vs 4.0%, OR 0.58 [0.22-1.53]). No patients from either group required hemodialysis.

CONCLUSIONS

The elimination of creatinine screening prior to obtaining contrast-enhanced computerized tomography in patients with suspected acute stroke did not adversely affect rates of CIN, hemodialysis, or mortality at a comprehensive stroke center.

Queuing Theory and Modeling Emergency Department Resource Utilization

Queueing theory is a discipline of applied mathematics that studies the behavior of lines. Queueing theory has successfully modeled throughput in a variety of industries, including within the emergency department (ED). Queueing equations model the demand for different processes within the ED, and help to factor in effects of variability on delays and service times. Utilization is a measure of the throughput of a process relative to demand, and provides a quick means of comparing the demand for certain resources. Although there have been some significant successes in applying queueing theory to EDs, the field remains underused within ED operations.

Diagnostic accuracy of the Troponin-only Manchester Acute Coronary Syndromes (T-MACS) decision aid with a point-of-care cardiac troponin assay

OBJECTIVE

Point-of-care (POC) cardiac troponin (cTn) assays have a rapid turnaround time but are generally less sensitive than laboratory-based assays. Previous research found that the Abbott i-Stat cardiac troponin I (cTnI) assay has good diagnostic accuracy when used with the Troponin-only Manchester Acute Coronary Syndromes (T-MACS) decision aid and serial sampling over 3 hours. Accuracy of other assays may differ. We therefore evaluated the diagnostic accuracy of a different POC cTnI assay with serial sampling over 3 hours, both with T-MACS and when used alone.

METHODS

In a prospective diagnostic accuracy study at eight EDs in England (July 2015-October 2017), we collected clinical data from consenting adults with suspected ACS at the time of assessment in the ED. Blood samples were drawn on arrival and 3 hours later for POC cTnI (Cardio 3 Triage, Alere). The target condition was an adjudicated diagnosis of acute myocardial infarction (AMI), based on reference standard serial laboratory-based cTn testing. We calculated test characteristics for POC cTnI using the limit of detection (LoD, 0.01 µg/L) and the T-MACS decision aid.

RESULTS

Of 347 participants, 59 (14.9%) had AMI. With serial POC cTnI testing over 3 hours, POC cTnI at the LoD cut-off ruled out AMI in 193 (55.6%) patients with 98.1% sensitivity (95% CI 89.9% to 100.0%) and 99.5% negative predictive value (NPV, 95% CI 96.5% to 99.9%). T-MACS ruled out AMI in 117 (33.7%) patients with 98.1% sensitivity (95% CI 89.9% to 100%) and 99.2% NPV (95% CI 94.3% to 99.9%). T-MACS ruled in AMI with 97.9% specificity (95% CI 95.8% to 99.5%) and 83.7% positive predictive value (95% CI 70.6% to 91.7%).

CONCLUSIONS

With serial sampling over 3 hours, the Alere Cardio 3 Triage cTnI assay has relatively high NPV for AMI using either the LoD cut-off alone or the T-MACS decision aid. However, wide CIs around the measures of diagnostic accuracy mean that further prospective testing of this strategy is required before clinical implementation.

TRIAL REGISTRATION NUMBER

UKCRN 18000.

Predictors of Delayed Emergency Department Throughput Among Blunt Trauma Patients

BACKGROUND

Delayed emergency department (ED) LOS has been associated with increased mortality and increased hospital length of stay (LOS) for various patient populations. Trauma patients often require significant effort in evaluation, workup, and disposition; however, patient and hospital characteristics associated with increased LOS in the ED for trauma patients remain unclear.

METHODS

The Trauma Quality Improvement Project database (2014-2016) was queried for all adult blunt trauma patients. Patients discharged from the ED to the operating room were excluded. Univariate and multivariable linear regression analysis was conducted to identify independent predictors of ED LOS, controlling for patient characteristics (age, gender, race, insurance status), hospital characteristics (teaching status, ACS trauma verification level, geographic region), abbreviated injury scale and comorbid status.

RESULTS

412,000 patients met inclusion criteria for analysis. When controlling for covariates, an increase in age by 1 y resulted in 0.63 increased minutes in the ED (P < 0.001). In multivariable linear regression controlling for injury severity and comorbid conditions, non-white race groups, university status, and northeast region were associated with increased ED LOS. Black and Hispanic patients spent on average 41 and 42 more minutes, respectively, in the ED room when compared with white patients (P < 0.001). Patients seen at University hospitals spent 52 more minutes in the ED when compared with community hospitals, whereas patients at nonteaching hospitals spent 31 fewer minutes (P < 0.001). Patients seen in the Midwest spent the least amount of time in the ED, with patients in the South, West, and Northeast spending 45, 36, and 89 more minutes, respectively (P < 0.001). Non-Medicaid patients at level 1 trauma centers and those requiring intensive care admission had significantly decreased ED LOS. Medicaid patients took the longest to move through the ED with Medicare, BlueCross, and Private insurance outpacing them by 17, 23, and 23 min, respectively (P < 0.001). ACS level 1 trauma centers moved patients through the ED fastest, whereas ACS level II trauma centers and level III trauma centers moved patients through 50 and 130 min slower when compared with ACS level 1 trauma centers (P < 0.001).

CONCLUSIONS

ED LOS varied significantly by patient and hospital characteristics. Medicaid patients and those patients at university hospitals were associated with significantly higher ED LOS, whereas ACS trauma verification level status had strong correlation with ED LOS. These results may allow targeted quality improvement programs to enhance ED LOS.

Simulation Analysis and Comparison of Point of Care Testing and Central Laboratory Testing

Background. In response to demand for fast and efficient clinical testing, the use of point-of-care testing (POCT) has become increasingly common in the United States. However, studies of POCT implementation have found that adopting POCT may not always be advantageous relative to centralized laboratory testing. Methods. We construct a simulation model of patient flow in an outpatient care setting to evaluate tradeoffs involved in POCT implementation across multiple dimensions, comparing measures of patient outcomes in varying clinical scenarios, testing regimes, and patient conditions. Results. We find that POCT can significantly reduce clinical time for patients, as compared to traditional testing regimes, in settings where clinic and central testing areas are far apart. However, as distance from clinic to central testing area decreased, POCT advantage over central laboratory testing also decreased, in terms of time in the clinical system and estimated subsequent productivity loss. For example, testing for pneumonia resulted in an estimated average of 27.80 (central lab) versus 15.50 (POCT) total lost productive hours in a rural scenario, and an average of 14.92 (central lab) versus 15.50 (POCT) hours in a hospital-based scenario. Conclusions. Our results show that POCT can effectively reduce the average time a patient spends in the system for varying condition profiles and clinical scenarios. However, the number of total lost productive hours, a more holistic measure, is greatly affected by testing quality, where POCT often is at a disadvantage. Thus, it is important to consider factors such as clinical setting, target condition, testing costs, and test quality when selecting appropriate testing regime.

Easy Diagnosis of Jaundice: A Smartphone-Based Nanosensor Bioplatform Using Photoluminescent Bacterial Nanopaper for Point-of-Care Diagnosis of Hyperbilirubinemia

One of the concerns of parents in the first days of their baby's birth is the baby's risk of jaundice/hyperbilirubinemia. This is because more than 60% of babies are born with jaundice that, if not timely diagnosed and subsequently treated, can lead to serious damage to their health. On the other hand, despite recent progress in sensor technology for clinical applications, the development of easy-to-use, cost-effective, sensitive, specific, and portable diagnostic devices, which use nontoxic and biodegradable materials in their design and fabrication, is still in high demand. Herein we present an easy-to-use, cost-effective, selective, nontoxic, and disposable photoluminescent nanopaper-based assay kit with a smartphone readout for easy diagnosis of neonatal jaundice through visual determination of Bilirubin (BR) in infants' blood samples. The developed BR assay kit comprises highly photoluminescent carbon dot (CD) sensing probes embedded in a bacterial cellulose (BC) nanopaper substrate (CDBN). The photoluminescence (PL) of the developed BR sensor is quenched in the presence of BR as a PL quencher and then selectively recovered upon blue light (λ = 470 nm) exposure, due to conversion of the unconjugated BR to the colorless oxidation products (non-PL quencher) through BR photoisomerization and photooxidation, that subsequently leads to selective PL enhancement of CDBN. The recovered PL intensity of the developed BR assay kit, which was monitored by integrated smartphone camera, was linearly proportional to the concentration of BR in the range of 2-20 mg dL^-1. The feasibility of real application of the fabricated smartphone-based BR assay kit was also confirmed via comparing the results of our method with a clinical reference method for determination of BR concentration in infant's blood samples. With the advantages of nontoxicity and the extraordinary physicochemical properties of photoluminescent BC nanopaper as the sensing substrate, along with those of smartphone technology, we believe that our developed smartphone-based BR assay kit, as an easy-to-use, cost-effective (∼0.01 Euro per test), portable and novel sensing bioplatform, can be potentially exploited for sensitive, specific, rapid, and easy BR detection and jaundice diagnosis at the point of care (POC) and in routine clinical laboratories as well.

A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study

Background

The task of monitoring and managing the entire emergency department (ED) is becoming more important due to increasing pressure on the ED. Recently, dashboards have received the spotlight as health information technology to support these tasks.

Objective

This study aimed to describe the development of a real-time autonomous dashboard for the ED and to evaluate perspectives of clinical staff on its usability.

Methods

We developed a dashboard based on three principles—“anytime, anywhere, at a glance;” “minimal interruption to workflow;” and “protect patient privacy”—and 3 design features—“geographical layout,” “patient-level alert,” and “real-time summary data.” Items to evaluate the dashboard were selected based on the throughput factor of the conceptual model of ED crowding. Moreover, ED physicians and nurses were surveyed using the system usability scale (SUS) and situation awareness index as well as a questionnaire we created on the basis of the construct of the Situation Awareness Rating Technique.

Results

The first version of the ED dashboard was successfully launched in 2013, and it has undergone 3 major revisions since then because of geographical changes in ED and modifications to improve usability. A total of 52 ED staff members participated in the survey. The average SUS score of the dashboard was 67.6 points, which indicates “OK-to-Good” usability. The participants also reported that the dashboard provided efficient “concentration support” (4.15 points), “complexity representation” (4.02 points), “variability representation” (3.96 points), “information quality” (3.94 points), and “familiarity” (3.94 points). However, the “division of attention” was rated at 2.25 points.

Conclusions

We developed a real-time autonomous ED dashboard and successfully used it for 5 years with good evaluation from users.

Grow the Pie: Interdepartmental Cooperation as a Method for Achieving Operational Efficiency in an Emergency Department

BACKGROUND

Despite sufficient literature analyzing macroscopic and microscopic methods of addressing emergency department (ED) operations, there is a paucity of studies that analyze methods between these extremes.

OBJECTIVE

We conducted a quasi-experimental study incorporating a pre/post-intervention comparison to determine whether interdepartmental cooperation is effective at improving ED operations by combining microscopic and macroscopic concepts.

METHODS

We performed an analysis of operational and financial data from a cooperative investment in imaging transport personnel between the emergency and radiology departments. Our primary outcome, order to table time (OTT), measured imaging times by modality (computed tomography [CT], ultrasound [US], magnetic resonance imaging [MRI]). These were compared for statistically significant change before and after the intervention. Our secondary outcome, gross profit, was calculated using the revenue generated from gained outpatient studies minus the associated direct personnel costs.

RESULTS

Transporters improved OTTs by decreasing median imaging times from 132 min to 116 min (p < 0.0005). Efficiency improved for CT scans with median time decreasing from 142 min to 114 min (p < 0.0005). Transport hires had adverse effects on US, with an increase in median OTT from 91 min to 99 min (p < 0.018). MRI experienced a similar trend in OTT, as median times worsened from 215 min to 235 min (p < 0.225). The investment in transporters generated a gross profit of $1.03 million for the radiology department over 9 months.

CONCLUSIONS

Interdepartmental cooperation is a broadly applicable macroscopic method that is effective at achieving microscopic, site-specific gains in ED efficiency. Transporters provided operational gains for the ED and financial gains for the radiology department.

Understanding Emergency Care Delivery Through Computer Simulation Modeling

In 2017, Academic Emergency Medicine convened a consensus conference entitled, "Catalyzing System Change through Health Care Simulation: Systems, Competency, and Outcomes." This article, a product of the breakout session on "understanding complex interactions through systems modeling," explores the role that computer simulation modeling can and should play in research and development of emergency care delivery systems. This article discusses areas central to the use of computer simulation modeling in emergency care research. The four central approaches to computer simulation modeling are described (Monte Carlo simulation, system dynamics modeling, discrete-event simulation, and agent-based simulation), along with problems amenable to their use and relevant examples to emergency care. Also discussed is an introduction to available software modeling platforms and how to explore their use for research, along with a research agenda for computer simulation modeling. Through this article, our goal is to enhance adoption of computer simulation, a set of methods that hold great promise in addressing emergency care organization and design challenges.

Process Improvements to Reduce Cardiac Troponin Turnaround Time in the Emergency Department

BACKGROUND

An efficient testing process is a key to a timely diagnosis of acute myocardial infarction in the emergency department (ED). This includes a rapid evaluation cardiac biomarkers.

METHODS

We conducted a quality and process improvement project to reduce troponin-T turnaround time (TAT) in the central laboratory at our facility. An interdisciplinary team, including front-line staff members, reviewed each step of troponin-T processing in both the ED and the central laboratory. A series of improvements were implemented during 2013, including changes to specimen labeling, elimination of duplicate test ordering, and efficiencies within the laboratory. Data from January 2013 to December 2014 on 31,496 patients with troponin tests were included in the analysis.

RESULTS

Over the 2-year period of the projects, median troponin-T TAT decreased from 74 minutes to consistently less than 60 minutes.

CONCLUSIONS

With an interdisciplinary team of health care professionals, we successfully reduced troponin-T TAT for possible acute coronary syndrome patients in our ED by 19%, consistently achieving laboratory results in less than 60 minutes.

A Review on the Contribution of Emergency Department Simulation Studies in Reducing Wait Time

Background: Because of the important role of hospital emergency departments (EDs) in providing urgent care, EDs face a constantly large demand that often results in long wait times. Objective: To review and analyze the existing literature in ED simulation modeling and its contribution in reducing patient wait time. Methods: A literature review was conducted on simulation modeling in EDs. Results: A total of 41 articles have met the inclusion criteria. The papers were categorized based on their motivations, modeling techniques, data collection processes, patient classification, recommendations, and implementation statuses. Real impact is seldom measured; only four papers (~10%) have reported the implementation of their recommended changes in the real world. Conclusion: The reported implementations contributed significantly to wait time reduction, but the proportion of simulation studies that are implemented is too low to conclude causality. Researchers should budget resources to implement their simulation recommendations in order to measure their impact on patient wait time.

Applying Systems Engineering Reduces Radiology Transport Cycle Times in the Emergency Department

INTRODUCTION

Emergency department (ED) crowding is widespread, and can result in care delays, medical errors, increased costs, and decreased patient satisfaction. Simultaneously, while capacity constraints on EDs are worsening, contributing factors such as patient volume and inpatient bed capacity are often outside the influence of ED administrators. Therefore, systems engineering approaches that improve throughput and reduce waste may hold the most readily available gains. Decreasing radiology turnaround times improves ED patient throughput and decreases patient waiting time. We sought to investigate the impact of systems engineering science targeting ED radiology transport delays and determine the most effective techniques.

METHODS

This prospective, before-and-after analysis of radiology process flow improvements in an academic hospital ED was exempt from institutional review board review as a quality improvement initiative. We hypothesized that reorganization of radiology transport would improve radiology cycle time and reduce waste. The intervention included systems engineering science-based reorganization of ED radiology transport processes, largely using Lean methodologies, and adding no resources. The primary outcome was average transport time between study order and complete time. All patients presenting between 8/2013-3/2016 and requiring plain film imaging were included. We analyzed electronic medical record data using Microsoft Excel and SAS version 9.4, and we used a two-sample t-test to compare data from the pre- and post-intervention periods.

RESULTS

Following the intervention, average transport time decreased significantly and sustainably. Average radiology transport time was 28.7 ± 4.2 minutes during the three months pre-intervention. It was reduced by 15% in the first three months (4.4 minutes [95% confidence interval [CI] 1.5-7.3]; to 24.3 ± 3.3 min, P=0.021), 19% in the following six months (5.4 minutes, 95% CI [2.7-8.2]; to 23.3 ± 3.5 min, P=0.003), and 26% one year following the intervention (7.4 minutes, 95% CI [4.8-9.9]; to 21.3 ± 3.1 min, P=0.0001). This result was achieved without any additional resources, and demonstrated a continual trend towards improvement. This innovation demonstrates the value of systems engineering science to increase efficiency in ED radiology processes.

CONCLUSION

In this study, reorganization of the ED radiology transport process using systems engineering science significantly increased process efficiency without additional resource use.

Overcrowding in emergency departments: A review of strategies to decrease future challenges

Emergency departments (EDs) are the most challenging ward with respect to patient delay. The goal of this study is to present strategies that have proven to reduce delay and overcrowding in EDs. In this review article, initial electronic database search resulted in a total of 1006 articles. Thirty articles were included after reviewing full texts. Inclusion criteria were assessments of real patient flows and implementing strategies inside the hospitals. In this study, we discussed strategies of team triage, point-of-care testing, ideal ED patient journey models, streaming, and fast track. Patients might be directed to different streaming channels depending on clinical status and required practitioners. The most comprehensive strategy is ideal ED patient journey models, in which ten interrelated substrategies are provided. ED leaders should apply strategies that provide a continuous care process without deeply depending on external services.

Comparison of Result Times Between Urine and Whole Blood Point-of-care Pregnancy Testing

INTRODUCTION

Point-of-care (POC) pregnancy testing is commonly performed in the emergency department (ED). One prior study demonstrated equivalent accuracy between urine and whole blood for one common brand of POC pregnancy testing. Our study sought to determine the difference in result times when comparing whole blood versus urine for the same brand of POC pregnancy testing.

METHODS

We conducted a prospective, observational study at an urban, academic, tertiary care hospital comparing the turnaround time between order and result for urine and whole blood pregnancy tests collected according to standard protocol without intervention from the investigators. After the blood was collected, the nurse would place three drops onto a Beckman Coulter ICON 25 Rapid HCG bedside pregnancy test and set a timer for 10 minutes. At the end of the 10 minutes, the result and time were recorded on an encoded data sheet and not used clinically. The same make and model analyzer was also used for urine tests in the lab located within the ED. The primary outcome was the difference in mean turnaround time between whole blood in the ED and urine testing in the adjacent lab results. Concordance between samples was assessed as a secondary outcome.

RESULTS

265 total patients were included in the study. The use of whole blood resulted in a mean time savings of 21 minutes (95% CI 16-25 minutes) when compared with urine (p<0.001). There was 99.6% concordance between results, with one false negative urine specimen with a quantitative HCG level of 81 mIU/L.

CONCLUSION

Our results suggest that the use of whole blood in place of urine for bedside pregnancy testing may reduce the total result turnaround time without significant changes in accuracy in this single-center study.

Impact of a Reading Priority Scoring System on the Prioritization of Examination Interpretations

OBJECTIVE

Our institution implemented a read priority scoring system to combat the known limitations of traditional methods for the prioritization of examination interpretations by radiologists. We aimed to determine the impact on report turnaround time (RTAT) and RTAT variability.

MATERIALS AND METHODS

On examination completion, technologists entered a read priority score (1-9) using provided definitions. We retrospectively reviewed the median RTAT and RTAT variability (i.e., interquartile range length) for radiology examinations (n = 615,541; 2011-2014). We used Spearman correlation coefficients to determine the relationships between read priority scores and the median RTAT and the RTAT variability by year. We compared median RTAT and RTAT variability between early (2011) versus late (2012-2014) adoption phases using distribution-free random permutation tests.

RESULTS

Ranked correlations showed yearly improvement, leading to a near-perfect ranking of median RTAT (r = 0.98, p < 0.001) and a perfect ranking of RTAT variability (r = 1.00, p < 0.001) by nine levels of priority. Eight of the nine priority levels showed a reduction in median RTAT between the early and late phases, and the three most urgent levels--that is, 1, 2, and 3--improved by 23%, 5%, and 70% (all, p < 0.001), respectively. Only one priority level (4, defined as outpatient urgent [8% of studies]) showed significant worsening by 15% (p < 0.001). The three most urgent levels of priority also showed improvements in RTAT variability (61%, 17%, 71%, respectively; all, p < 0.01). Only the lowest level of priority (9) exhibited a significant worsening in RTAT variability by 9% (p < 0.01).

CONCLUSION

A reading priority scoring system with defined clinical scenarios yielded desirable prioritization of examination interpretations by radiologists as evidenced by appropriate and improved stratification of RTATs and RTAT variability.

Greater Efficiency Observed 12 Months Post-Implementation of an Automatic Tube Sorting and Registration System in a Core Laboratory

BACKGROUND

Sample classification and registration have been recognized as important and time-consuming processes in laboratories. There is increasing pressure on laboratories to automate processes due to intense workload and reduce manual procedures and errors. The aim of the present study was to evaluate the positive effects of an automatic tube registration and sorting system on specimen processing.

METHODS

An automatic tube registration and sorting system (HCTS2000 MK2, m-u-t AG, Wedel, Germany) was evaluated. Turnaround time (TAT), rate of sample rejection and unrealized tests were examined 12 months pre- and post-implementation of the automatic tube sorting and registration system.

RESULTS

The mean TAT of routine chemistry immunoassay, complete blood cell count (CBC) and coagulation samples were significantly improved (P<0.001). The number of rejected samples and unrealized tests was insignificantly decreased post-implementation of the system (0.4% to 0.2% and 4.5% to 1.4%, respectively) (P>0.05).

CONCLUSIONS

By reducing delays and errors in the preanalytical processing and sorting of samples, significant improvements in specimen processing were observed after implementation of the system. These results suggest that an automatic tube registration and sorting system may also be used to improve specimen processing in a higher-volume core laboratory.

Effectiveness of Five-Level Emergency Severity Index Triage System Compared With Three-Level Spot Check: An Iranian Experience

Background:

Triage for patients’ prioritization in the emergency department is a suitable solution to decrease overcrowding. Different methods are used for prioritization that needs effectiveness evaluation.

Objectives:

The aim of this study was to assess the effectiveness of the emergency severity index (ESI) 5-level triage system in contrast with spot check triage.

Patients and Methods:

Data for this quasi-experimental study were extracted using a form to review 770 records of patients referred to emergency department of Imam Khomeini hospital (in Sari, north of Iran) during two separated periods each for four months; the first from 20th March to 19th July 2010 and the other from 21 March to 20 July 2011. The method used in the first time was spot check triage and the second one ESI triage. Data were processed with descriptive statistics and analyzed using independent samples t-test (CI = 95%).

Results:

Increase from 6.46 to 8.92 minutes in the average time from patient arrival to being visited by a physician (P < 0.001) and increase in average time from physician visit to receive the first nursing care from 7.68 to 15.89 minutes were significant (P < 0.001). The average waiting time for laboratory services was significantly decreased from 112.3 to 84.1 (P = 0.033). Increase in the average waiting time for radiology, decrease in average waiting time for sonography, average length of stay in the emergency department, and number of patients per emergency bed were not significant.

Conclusions:

Between the two systems of triage, ESI was more effective than the spot check and in the spatial and temporal domain of research, was a successful method in improving some indicators of emergency and improving the performance indices. Hospital managers by implementation of ESI system can take a step toward new health policies and improve the processes as key tools of continuous quality improvement system.

Computer modeling of lung cancer diagnosis-to-treatment process

We introduce an example of a rigorous, quantitative method for quality improvement in lung cancer care-delivery. Computer process modeling methods are introduced for lung cancer diagnosis, staging and treatment selection process. Two types of process modeling techniques, discrete event simulation (DES) and analytical models, are briefly reviewed. Recent developments in DES are outlined and the necessary data and procedures to develop a DES model for lung cancer diagnosis, leading up to surgical treatment process are summarized. The analytical models include both Markov chain model and closed formulas. The Markov chain models with its application in healthcare are introduced and the approach to derive a lung cancer diagnosis process model is presented. Similarly, the procedure to derive closed formulas evaluating the diagnosis process performance is outlined. Finally, the pros and cons of these methods are discussed.

The accuracy and timeliness of a Point Of Care lactate measurement in patients with Sepsis

BACKGROUND

The aims of this study were to a) compare the lactate measurement of a Point of Care (POC) handheld device to near patient blood gas analysers, and b) determine the differential reporting times between the analysers.

METHODS

A two-staged study; method comparison and prospective observational stages, was conducted. For the first stage, blood samples were analysed on the i-STAT handheld device and the near patient blood gas analysers (GEM 4000 and OMNI S). Results were compared using Pearson correlation coefficient and Bland-Altman tests. For the second stage, we examined the differential reporting times of the POC device compared to the near patient blood gas analysers in two Scottish hospitals. Differential reporting times were assessed using Mann-Whitney test and descriptive statistics were reported with quartiles.

RESULTS

Highly significant Pearson correlation coefficients (0.999 and 0.993 respectively) were found between i-STAT and GEM 4000 and OMNI S. The Bland-Altman agreement method showed bias values of -0.03 and -0.24, between i-STAT and GEM 4000 and OMNI S respectively. Median time from blood draw to i-STAT lactate results was 5 min (Q1-Q3 5-7). Median time from blood draw to GEM 4000 lactate results was 10 min (Q1-Q3 7.75-13). Median time from blood draw to OMNIS lactate results was 11 min (Q1-Q3 8-22). The i-STAT was significantly quicker than both the GEM 4000 and the OMNIS (each p-value < 0.001). In addition, 18 of our study samples were sent to the central laboratory for analysis due to a defect in the lactate module of OMNI S. The median time for these samples from blood draw to availability of the central laboratory results at the clinical area was 133 min.

CONCLUSIONS

The POC handheld device produced accurate, efficient and timely lactate measurements with the potential to influence clinical decision making sooner.

Applying Lean methodologies reduces ED laboratory turnaround times

BACKGROUND

Increasing the value of health care delivery is a national priority, and providers face growing pressure to reduce cost while improving quality. Ample opportunity exists to increase efficiency and quality simultaneously through the application of systems engineering science.

OBJECTIVE

We examined the hypothesis that Lean-based reorganization of laboratory process flow would improve laboratory turnaround times (TAT) and reduce waste in the system.

METHODS

This study was a prospective, before-after analysis of laboratory process improvement in a teaching hospital emergency department (ED). The intervention included a reorganization of laboratory sample flow based in systems engineering science and Lean methodologies, with no additional resources. The primary outcome was the median TAT from sample collection to result for 6 tests previously performed in an ED kiosk.

RESULTS

After the intervention, median laboratory TAT decreased across most tests. The greatest decreases were found in "reflex tests" performed after an initial screening test: troponin T TAT was reduced by 33 minutes (86 to 53 minutes; 99% confidence interval, 30-35 minutes) and urine sedimentation TAT by 88 minutes (117 to 29 minutes; 99% confidence interval, 87-90 minutes). In addition, troponin I TAT was reduced by 12 minutes, urinalysis by 9 minutes, and urine human chorionic gonadotropin by 10 minutes. Microbiology rapid testing TAT, a "control," did not change.

CONCLUSIONS

In this study, Lean-based reorganization of laboratory process flow significantly increased process efficiency. Broader application of systems engineering science might further improve health care quality and capacity while reducing waste and cost.

Studying and Incorporating Efficiency into Gastrointestinal Endoscopy Centers

Efficiency is defined as the use of resources in such a way as to maximize the production of goods and services. Improving efficiency has been the focus of management in many industries; however, it has not been until recently that incorporating efficiency models into healthcare has occurred. In particular, the study and development of improvement projects aimed at enhancing efficiency in GI have been growing rapidly in recent years. This focus on improving efficiency in GI has been spurred by the dramatic rise in the demand for endoscopic procedures as well as the rising number of insured patients requiring GI care coupled at the same time with limited resources in terms of staffing and space in endoscopy centers. This paper will critically review the history of efficiency in endoscopy centers, first by looking at other healthcare industries that have extensively studied and improved efficiency in their fields, examine a number of proposed efficiency metrics and benchmarks in endoscopy centers, and finally discuss opportunities where endoscopy centers could improve their efficiency.

Opinion paper on utility of point-of-care biomarkers in the emergency department pathways decision making

Overcrowding of the emergency department (ED) is rapidly becoming a global challenge and a major source of concern for emergency physicians. The evaluation of cardiac biomarkers is critical for confirming diagnoses and expediting treatment decisions to reduce overcrowding, however, physicians currently face the dilemma of choosing between slow and accurate central-based laboratory tests, or faster but imprecise assays. With improvements in technology, point-of-care testing (POCT) systems facilitate the efficient and high-throughput evaluation of biomarkers, such as troponin (cTn), brain natriuretic peptide (BNP) and neutrophil gelatinase-associated lipocalin (NGAL). In this context, POCT may help ED physicians to confirm a diagnosis of conditions, such as acute coronary syndrome, heart failure or kidney damage. Compared with classic laboratory methods, the use of cTn, BNP, and NGAL POCT has shown comparable sensitivity, specificity and failure rate, but with the potential to provide prompt and accurate diagnosis, shorten hospital stay, and alleviate the burden on the ED. Despite this potential, the full advantages of rapid delivery results will only be reached if POCT is implemented within hospital standardized procedures and ED staff receive appropriate training.

The top 100 cited articles published in emergency medicine journals

INTRODUCTION

Our objective was to identify trends and examine the characteristics of the top 100 cited articles in emergency medicine (EM) journals.

METHODS

Scopus Library database was queried to determine the citations of the top 100 EM articles. A second database (Google Scholar) was used to gather the following information: number of authors, publication year, journal name, impact factor, country of origin, and article type (original article, review article, conference paper, or editorial). The top 100 cited articles were selected and analyzed by 2 independent investigators.

RESULTS

We identified 100 top-cited articles published in 6 EM journals, led by Annals of Emergency Medicine (65) and American Journal of Emergency Medicine (15). All top-cited articles were published between 1980 and 2009. The common areas of study were categorized as cardiovascular medicine, emergency department administration, toxicology, pain medicine, pediatrics, traumatology, and resuscitation. A statistically significant association was found between the journal impact factor and the number of top 100 cited articles (P < .005).

CONCLUSION

The top-cited articles published in EM journals help us recognize the quality of the works, discoveries, and trends steering EM. Our analysis provides an insight to the prevalent areas of study being cited within our field of practice.

Ambulance Diversion: Ethical Dilema and Necessary Evil

Ambulance diversion presents a dilemma pitting the ethical principles of patient autonomy and beneficence against the principles of justice and nonmaleficence. The guiding priority in requesting ambulance diversion is to maintain the safety of all patients in the emergency department as well as those waiting to be seen. Policies and procedures can be developed that maintain the best possible outcome for patients transported by ambulance during periods of diversion. More importantly, the discussion must focus on addressing the operational inefficiencies within our health systems that lead to conditions such as patient boarding, high waiting room congestion, and ambulance diversion. Addressing these inefficiencies has a greater potential impact on ambulance diversion than simply banning or restricting the practice for practical or ethical considerations.

The state of point-of-care testing: a European perspective

Point-of-care testing (POCT) refers to any diagnostic test administered outside the central laboratory at or near the location of the patient. By performing the sample collection and data analysis steps in the same location POCT cuts down on transport and processing delays, resulting in the rapid feedback of test results to medical decision-makers. Over the past decades the availability and use of POCT have steadily increased in Europe and throughout the international community. However, concerns about overall utility and the reliability of benefits to patient care have impeded the growth of POCT in some areas. While there is no agreed-upon standard for how success should be judged, the increases in speed and mobility provided by POCT can lead to substantial advantages over traditional laboratory testing. When properly utilized, POCT has been shown to yield measurable improvements in patient care, workflow efficiency, and even provide significant financial benefits. However, important organizational and quality assurance challenges must be addressed with the implementation of POCT in any health care environment. To ensure maximal benefits it may be necessary to evaluate critically and restructure existing clinical pathways to capitalize better on the rapid test turnaround times provided by POCT.

The effect of laboratory testing on emergency department length of stay: a multihospital longitudinal study applying a cross-classified random-effect modeling approach

Objectives

The objective was to examine the relationship between laboratory testing (including test volume and turnaround time [TAT]) and emergency department (ED) length of stay (LOS), using linked patient‐level data from four hospitals across 4 years.

Methods

This was a retrospective, multisite cohort study of patients presenting to any one of four EDs in New South Wales, Australia, during a 2‐month period (August and September) in 2008, 2009, 2010, and 2011. Data from ED information systems were linked to laboratory test data. A cross‐classified random‐effect modeling approach was applied to identify factors affecting ED LOS, taking into account the correlation between patients' presentations at the same hospital and/or in the same calendar year. Number of test order episodes (tests ordered at one point in time during the ED stay) and TAT (time from laboratory order receipt to result available) were examined.

Results

As the number of test order episodes increased, so did the duration of patient ED LOS (p < 0.0001). For every five additional tests ordered per test order episode, the median ED LOS increased by 10 minutes (2.9%, p < 0.0001); each 30‐minute increase in TAT was, on average, associated with a 5.1% (17 minutes; p < 0.0001) increase in ED LOS, after adjustment for other factors. Patients presenting to the ED at night (7 p.m. to 7 a.m.) had longer stays than those presenting during the daytime, although the median TATs at nights were shorter than those during the daytime.

Conclusions

Laboratory testing has a direct effect on patients' LOS in ED. Laboratory TAT, number of testing episodes, and test volume influence ED LOS. Targeted increases of ED resources and staffing after‐hours may also contribute to reductions in ED LOS.

Mapping patient path in the Pediatric Emergency Department: A workflow model driven approach

The workflow models of the patient journey in a Pediatric Emergency Department (PED) seems to be an effective approach to develop an accurate and complete representation of the PED processes. This model can drive the collection of comprehensive quantitative and qualitative service delivery and patient treatment data as an evidence base for the PED service planning. Our objective in this study is to identify crowded situation indicators and bottlenecks that contribute to over-crowding. The greatest source of delay in patient flow is the waiting time from the health care request, and especially the bed request to exit from the PED for hospital admission. It represented 70% of the time that these patients occupied in the PED waiting rooms. The use of real data to construct the workflow model of the patient path is effective in identifying sources of delay in patient flow, and aspects of the PED activity that could be improved. The development of this model was based on accurate visits made in the PED of the Regional University Hospital Center (CHRU) of Lille (France). This modeling, which has to represent most faithfully possible the reality of the PED of CHRU of Lille, is necessary. It must be detailed enough to produce an analysis allowing to identify the dysfunctions of the PED and also to propose and to estimate prevention indicators of crowded situations. Our survey is integrated into the French National Research Agency (ANR) project, titled: "Hospital: Optimization, Simulation and avoidance of strain" (HOST).

Point-of-care testing in the overcrowded emergency department--can it make a difference?

Emergency departments (EDs) face several challenges in maintaining consistent quality care in the face of steadily increasing public demand. Improvements in the survival rate of critically ill patients in the ED are directly related to the advancement of early recognition and treatment. Frequent episodes of overcrowding and prolonged waiting times force EDs to operate beyond their capacity and threaten to impact upon patient care. The objectives of this review are as follows: (a) to establish overcrowding as a threat to patient outcomes, person-centered care, and public safety in the ED; (b) to describe scenarios in which point-of-care testing (POCT) has been found to ameliorate factors thought to contribute to overcrowding; and (c) to discuss how POCT can be used directly, and indirectly, to expedite patient care and improve outcomes. Various studies have shown that overcrowding in the ED has profound effects on operational efficiency and patient care. Several reports have quantified overcrowding in the ED and have described a relationship between heightened periods of overcrowding and delays in treatment, increased incidence of adverse events, and an even greater probability of mortality. In certain scenarios, POCT has been found to increase the number of patients discharged in a timely manner, expedite triage of urgent but non-emergency patients, and decrease delays to treatment initiation. This review concludes that POCT, when used effectively, may alleviate the negative impacts of overcrowding on the safety, effectiveness, and person-centeredness of care in the ED.