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

Using lean-based systems engineering to increase capacity in the emergency department

INTRODUCTION

While emergency department (ED) crowding has myriad causes and negative downstream effects, applying systems engineering science and targeting throughput remains a potential solution to increase functional capacity. However, the most effective techniques for broad application in the ED remain unclear. We examined the hypothesis that Lean-based reorganization of Fast Track process flow would improve length of stay (LOS), percent of patients discharged within one hour, and room use, without added expense.

METHODS

This study was a prospective, controlled, before-and-after analysis of Fast Track process improvements in a Level 1 tertiary care academic medical center with >95,000 annual patient visits. We included all adult patients seen during the study periods of 6/2010-10/2010 and 6/2011-10/2011, and data were collected from an electronic tracking system. We used concurrent patients seen in another care area used as a control group. The intervention consisted of a simple reorganization of patient flow through existing rooms, based in systems engineering science and modeling, including queuing theory, demand-capacity matching, and Lean methodologies. No modifications to staffing or physical space were made. Primary outcomes included LOS of discharged patients, percent of patients discharged within one hour, and time in exam room. We compared LOS and exam room time using Wilcoxon rank sum tests, and chi-square tests for percent of patients discharged within one hour.

RESULTS

Following the intervention, median LOS among discharged patients was reduced by 15 minutes (158 to 143 min, 95%CI 12 to 19 min, p<0.0001). The number of patients discharged in <1 hr increased by 2.8% (from 6.9% to 9.7%, 95%CI 2.1% to 3.5%, p<0.0001), and median exam room time decreased by 34 minutes (90 to 56 min, 95%CI 31 to 38 min, p<0.0001). In comparison, the control group had no change in LOS (265 to 267 min) or proportion of patients discharged in <1 hr (2.9% to 2.9%), and an increase in exam room time (28 to 36 min, p<0.0001).

CONCLUSION

In this single center trial, a focused Lean-based reorganization of patient flow improved Fast Track ED performance measures and capacity, without added expense. Broad multi-centered application of systems engineering science might further improve ED throughput and capacity.

Optimizing efficiency and operations at a California safety-net endoscopy center: a modeling and simulation approach

BACKGROUND

Improvements in endoscopy center efficiency are needed, but scant data are available.

OBJECTIVE

To identify opportunities to improve patient throughput while balancing resource use and patient wait times in a safety-net endoscopy center.

SETTING

Safety-net endoscopy center.

PATIENTS

Outpatients undergoing endoscopy.

INTERVENTION

A time and motion study was performed and a discrete event simulation model constructed to evaluate multiple scenarios aimed at improving endoscopy center efficiency.

MAIN OUTCOME MEASUREMENTS

Procedure volume and patient wait time.

RESULTS

Data were collected on 278 patients. Time and motion study revealed that 53.8 procedures were performed per week, with patients spending 2.3 hours at the endoscopy center. By using discrete event simulation modeling, a number of proposed changes to the endoscopy center were assessed. Decreasing scheduled endoscopy appointment times from 60 to 45 minutes led to a 26.4% increase in the number of procedures performed per week, but also increased patient wait time. Increasing the number of endoscopists by 1 each half day resulted in increased procedure volume, but there was a concomitant increase in patient wait time and nurse utilization exceeding capacity. By combining several proposed scenarios together in the simulation model, the greatest improvement in performance metrics was created by moving patient endoscopy appointments from the afternoon to the morning. In this simulation at 45- and 40-minute appointment times, procedure volume increased by 30.5% and 52.0% and patient time spent in the endoscopy center decreased by 17.4% and 13.0%, respectively. The predictions of the simulation model were found to be accurate when compared with actual changes implemented in the endoscopy center.

LIMITATIONS

Findings may not be generalizable to non-safety-net endoscopy centers.

CONCLUSIONS

The combination of minor, cost-effective changes such as reducing appointment times, minimizing and standardizing recovery time, and making small increases in preprocedure ancillary staff maximized endoscopy center efficiency across a number of performance metrics.

Reducing ambulance diversion at hospital and regional levels: systemic review of insights from simulation models

Introduction:

Optimal solutions for reducing diversion without worsening emergency department (ED) crowding are unclear. We performed a systematic review of published simulation studies to identify: 1) the tradeoff between ambulance diversion and ED wait times; 2) the predicted impact of patient flow interventions on reducing diversion; and 3) the optimal regional strategy for reducing diversion.

Methods:

Data Sources: Systematic review of articles using MEDLINE, Inspec, Scopus. Additional studies identified through bibliography review, Google Scholar, and scientific conference proceedings. Study Selection: Only simulations modeling ambulance diversion as a result of ED crowding or inpatient capacity problems were included. Data extraction: Independent extraction by two authors using predefined data fields.

Results:

We identified 5,116 potentially relevant records; 10 studies met inclusion criteria. In models that quantified the relationship between ED throughput times and diversion, diversion was found to only minimally improve ED waiting room times. Adding holding units for inpatient boarders and ED-based fast tracks, improving lab turnaround times, and smoothing elective surgery caseloads were found to reduce diversion considerably. While two models found a cooperative agreement between hospitals is necessary to prevent defensive diversion behavior by a hospital when a nearby hospital goes on diversion, one model found there may be more optimal solutions for reducing region wide wait times than a regional ban on diversion.

Conclusion:

Smoothing elective surgery caseloads, adding ED fast tracks as well as holding units for inpatient boarders, improving ED lab turnaround times, and implementing regional cooperative agreements among hospitals are promising avenues for reducing diversion.

Understanding social forces involved in diabetes outcomes: a systems science approach to quality-of-life research

PURPOSE

The field of quality-of-life (QOL) research would benefit from learning about and integrating systems science approaches that model how social forces interact dynamically with health and affect the course of chronic illnesses. Our purpose is to describe the systems science mindset and to illustrate the utility of a system dynamics approach to promoting QOL research in chronic disease, using diabetes as an example.

METHODS

We build a series of causal loop diagrams incrementally, introducing new variables and their dynamic relationships at each stage.

RESULTS

These causal loop diagrams demonstrate how a common set of relationships among these variables can generate different disease and QOL trajectories for people with diabetes and also lead to a consideration of non-clinical (psychosocial and behavioral) factors that can have implications for program design and policy formulation.

CONCLUSIONS

The policy implications of the causal loop diagrams are discussed, and empirical next steps to validate the diagrams and quantify the relationships are described.

Diagnostic performance of four point of care cardiac troponin I assays to rule in and rule out acute myocardial infarction

OBJECTIVE

This study evaluated the diagnostic performance of four point-of-care (POC) cardiac troponin I (cTnI) assays compared to a central laboratory cTnI assay for detecting myocardial injury and diagnosing acute myocardial infarction (AMI).

DESIGN AND METHODS

Plasma obtained at admission, 3 h, and 6 h post-admission in 169 patients presenting with symptoms suggestive of acute coronary syndrome (ACS) was studied. cTnI concentrations were measured on the Instrumentation Laboratory prototype GEM Immuno, Radiometer AQT90, Mitsubishi PATHFAST, Abbott i-STAT and the Ortho-Clinical Diagnostic Vitros assays. MI was determined based on 99th percentiles according to Universal MI guidelines.

RESULTS

For ruling in MI at presentation (0 h), the GEM Immuno (sensitivity 63%, specificity 85%) and PATHFAST (sensitivity 53%, specificity 86%) were comparable to the OCD (sensitivity 68%, specificity 81%), and significantly better (p<0.05) than the AQT90 (sensitivity 26%, specificity 93%) and i-STAT (sensitivity 32%, specificity 92%). cTnI concentrations and serial rising patterns after MI differed by each assay. Negative predictive values were >90% and ROC AUCs were >0.90 after 6h for all assays. Detection of myocardial injury in non-ischemic pathologies accounted for lower than 100% specificity for MI.

CONCLUSION

cTnI is a sensitive biomarker for detection of myocardial injury. The analytical variability that exists between POC cTnI assays demonstrates substantial diagnostic differences for ruling in and ruling out MI in patients presenting with symptoms suggestive of ACS.

The frequency and cost of redundant laboratory testing for transferred ED patients

INTRODUCTION

Health care costs continue to rise; reducing unnecessary laboratory testing may reduce costs. The goal of this study was to calculate the frequency and estimated costs of repeat normal laboratory testing of patients transferred to a tertiary care emergency department (ED).

METHODS

This was a retrospective cohort study of patients transferred to a tertiary care, level -one trauma ED with an annual census of 90,000 patients. We defined "repeat normal testing" as laboratory tests repeated within 8 hours that were normal at both the sending hospital and the receiving tertiary care hospital. We estimated the charges associated with repeat normal laboratory testing for 11 common ED tests: basic metabolic panel, calcium, magnesium, phosphorus, lipase, thyroids stimulating hormone, prothrombin time, partial thromboplastin time, complete blood count, liver function test, and urine analysis.

RESULTS

Two hundred thirty-two patients were transferred to the receiving tertiary care hospital from within the hospital's network from May 1, 2011, to October 31, 2011. On average, each transferred patient had one repeat normal laboratory test (245/232=1.06). For all laboratory tests, repeat normal testing occurred at least 40% of the time. Extrapolating the data, the total yearly estimated charges of all repeat normal testing was $580,526.

CONCLUSION

This study provides the first analysis of the frequency of repeated laboratory testing for all transferred ED patients and indicates that repeat normal testing represents a significant cost. Future research needs to determine if such repeat testing is indeed clinically appropriate or redundant.

Predictive factors for longer length of stay in an emergency department: a prospective multicentre study evaluating the impact of age, patient's clinical acuity and complexity, and care pathways

BACKGROUND

It has been reported that emergency department length of stay (ED-LOS) for older patients is longer than average. Our objective was to determine the effect of age, patient's clinical acuity and complexity, and care pathways on ED-LOS and ED plus observation unit (EDOU) LOS (EDOU-LOS).

METHODS

This was a prospective, multicentre, observational study including all patients attending in 2011. Age groups were: I, <50; II, ≥50-64; III, ≥65-74; IV, ≥75-84; V, ≥85 years. Univariate and multivariate analyses were performed.

RESULTS

Of 125 478 attendances, 20 845(16.6%) were of patients aged ≥65 years. Multivariate analysis found significant predictors for ED-LOS (C-statistics 0.79, p<0.0000001) to be: arrival mode (ambulance, OR 1.13 (95% CI 1.08 to 1.18)); acuity level (level 4, OR 1.24 (95% CI 1.21 to 1.28); level 1-3, OR 1.54 (95% CI 1.5 to 1.59)); haematological examinations (OR 3.34 (95% CI 3.15 to 3.56)); intravenous treatment (OR 1.58 (95% CI 1.47 to 1.69)); monitoring of vital signs (OR 1.89 (95% CI 1.69 to 2.10)); x-ray examinations (OR 1.53 (95% CI 1.45 to 1.61)); CT/MRI/ultrasound (OR 2.60 (95% CI 2.39 to 2.82)); and specialist advice (OR 1.39 (95% CI 1.30 to 1.48)). For EDOU-LOS (C-statistics 0.81, p<0.0000001) we found: age group (II, OR 1.19 (95% CI 1.16 to 1.22); III, OR 1.42 (95% CI 1.38 to 1.46); IV, OR 1.69 (95% CI 1.65 to 1.74); V, 2.01 (95% CI 1.96 to 2.07)); acuity level (level 4, OR 1.31 (95% CI 1.27 to 1.35); level 1-3, OR 1.71 (95% CI 1.66 to 1.77)); haematological examinations (OR 7.81 (95% CI 7.23 to 8.43)); intravenous treatment (OR 1.95 (95% CI 1.8 to 2.12)); x-ray examinations (OR 1.95 (95% CI 1.85 to 2.06)); CT/MRI/ultrasound (OR 6.74 (95% CI 5.98 to 7.6)); specialist advice (OR 2.24 (95% CI 2.07 to 2.42)); admission to a medical or surgical ward (OR 0.61 (95% CI 0.54 to 0.68)); and transfer (OR 1.79 (95% CI 1.54 to 2.07)).

CONCLUSIONS

Whereas ED-LOS and EDOU-LOS seem to be directly related to patients' acuity and complexity, notably the need for diagnostic and therapeutic interventions, only EDOU-LOS was significantly associated with age and proposed care pathways. We propose that EDOU-LOS measurement should be made in EDs with an OU.

Utilization of Stat Test Priority in the Clinical Laboratory: A College of American Pathologists Q-Probes Study of 52 Institutions

Context.—Utilization of stat testing priority is a balance between safe, efficient patient management and resource expenditure.

Objective.—To determine the rate of stat testing, compare rates among institutions, and determine the distribution of turnaround time expectations for different turnaround time priorities.

Design.—During a 7-day period, participants prospectively determined the total number of chemistry, hematology, and coagulation billable tests from inpatients and emergency department patients. Among these, the total numbers of billable tests performed stat were identified. Laboratories also reported the levels of test priority they offered and turnaround expectations for each level of test priority.

Results.—Fifty institutions submitted data for the study, with 2 additional participants submitting partial results. Participants identified 639 589 chemistry, hematology, and coagulation billable tests, with 229 896 (35.9%) performed stat. The stat rate varied from 21.3% at the 10th percentile to 55.4% at the 90th percentile, with a median of 37.0% of participants' tests performed stat. Laboratories include a mean of 206 tests in chemistry, hematology, and coagulation test menus, with 67% of these tests offered stat. The fraction of the test menu offered stat varied from 29.0% at the 10th percentile to 97.8% at the 90th percentile, with a median of 73.3% of tests on the menu offered stat. The most common number of testing priorities offered by participating laboratories was 3 (44.2%).

Conclusions.—Among the 52 participating laboratories, the median stat testing rate was 37.0% and a median 73.3% of the test menu was offered stat.

Effect of surgery resident change of shift on trauma resuscitations and outcomes

INTRODUCTION

The ability of surgery residents to provide continuity of care has come under scrutiny with work hour restrictions. The impact of the surgery resident sign-out period (6-8am and 6-8pm) on trauma outcomes remains unknown. We hypothesize that during shift change, resuscitation times are prolonged with worse outcomes.

METHODS

Records of patients treated at a university-based urban trauma center during 2008 and 2009 were reviewed. Patients were separated into a shift change group (6-8am and 6-8pm) and a control group of all other time periods and compared using ANOVA, chi square, and unpaired t-tests.

RESULTS

We reviewed the charts of 4361 consecutive trauma patients. There was no difference in gender, acuity, resuscitation times, Glasgow Coma Scale, revised trauma score, injury severity score (ISS), or probability of survival score between patients arriving during shift change compared to other times (p>0.2). There was no difference in total emergency department time for patients arriving during shift change (p = 0.07), even when stratified by ISS (ISS<15, p = 0.09; ISS>15, p = 0.2). Length of stay was increased for patients arriving during shift change compared to other times (5 vs 4 days, p<0.05). This was more pronounced for those with ISS>15 (16 vs 11 days, p = 0.03); however, there was no impact on intensive care unit length of stay, ventilator days, and mortality (p>0.3) regardless of ISS.

CONCLUSIONS

Trauma outcomes are generally unaffected by patient arrival during shift change when resident sign-outs occur. Although adaptations are being made to accommodate trauma patient arrival during these times, we need to continue paying close attention, especially to seriously injured patients, to ensure that there are no delays in care that may potentially affect patient outcomes.

Cardiac troponin: a critical review of the case for point-of-care testing in the ED

The measurement of cardiac troponin concentrations in the blood is a key element in the evaluation of patients with suspected acute coronary syndromes, according to current guidelines, and contributes importantly to the ruling in or ruling out of acute myocardial infarction. The introduction of point-of-care testing for cardiac troponin has the potential to reduce turnaround time for assay results, compared with central laboratory testing, optimizing resource use. Although, in general, many point-of-care cardiac troponin tests are less sensitive than cardiac troponin tests developed for central laboratory-automated analyzers, point-of-care systems have been used successfully within accelerated protocols for the reliable ruling out of acute coronary syndromes, without increasing subsequent readmission rates for this condition. The impact of shortened assay turnaround times with point-of-care technology on length of stay in the emergency department has been limited to date, with most randomized evaluations of this technology having demonstrated little or no reduction in this outcome parameter. Accordingly, the point-of-care approach has not been shown to be cost-effective relative to central laboratory testing. Modeling studies suggest, however, that reengineering overall procedures within the emergency department setting, to take full advantage of reduced therapeutic turnaround time, has the potential to improve the flow of patients through the emergency department, to shorten discharge times, and to reduce cost. To properly evaluate the potential contribution of point-of-care technology in the emergency department, including its cost-effectiveness, future evaluations of point-of-care platforms will need to be embedded completely within a local decision-making structure designed for its use.

MATHEMATICAL MODELING: THE CASE OF EMERGENCY DEPARTMENT WAITING TIMES

A decision analytic model often comprises a significant part of a health technology assessment. As health technology assessment in the hospital setting evolves, there is an increased need for modeling methods that account for patient care pathways and interactions between patients and their environment. For example, an evaluation of a computed tomography (CT) scanner for a new indication would need to consider the current and increased demand of the machine and how that may affect service in other areas of the hospital. This problem solving approach views “problems” through a systems perspective.

Laboratory sample turnaround times: do they cause delays in the ED?

OBJECTIVES

Blood tests are requested for approximately 50% of patients attending the emergency department (ED). The time taken to obtain the results is perceived as a common reason for delay. The objective of this study was therefore to investigate the turnaround time (TAT) for blood results and whether this affects patient length of stay (LOS) and to identify potential areas for improvement.

METHODS

A time-in-motion study was performed at the ED of the John Radcliffe Hospital (JRH), Oxford, UK. The duration of each of the stages leading up to receipt of 101 biochemistry and haematology results was recorded, along with the corresponding patient's LOS.

RESULTS

The findings reveal that the mean time for haematology results to become available was 1 hour 6 minutes (95% CI: 29 minutes to 2 hours 13 minutes), while biochemistry samples took 1 hour 42 minutes (95% CI: 1 hour 1 minute to 4 hours 21 minutes), with some positive correlation noted with the patient LOS, but no significant variation between different days or shifts.

CONCLUSIONS

With the fastest 10% of samples being reported within 35 minutes (haematology) and 1 hour 5 minutes (biochemistry) of request, our study showed that delays can be attributable to laboratory TAT. Given the limited ability to further improve laboratory processes, the solutions to improving TAT need to come from a collaborative and integrated approach that includes strategies before samples reach the laboratory and downstream review of results.

Achieving efficiency in crowded emergency departments: a research agenda

In 2011, Academic Emergency Medicine convened a consensus conference entitled "Interventions to Assure Quality in the Crowded Emergency Department." This article, a product of the breakout session on "interventions to safeguard efficiency of care," explores various elements of the research agenda on efficiency and quality in crowded emergency departments (EDs). The authors discuss four areas identified as critical to achieving progress in the research agenda for improving ED efficiency: 1) What measures can be used to understand and improve the efficiency and quality of interventions in the ED? 2) Which factors outside of the ED's control affect ED efficiency? 3) How do workforce factors affect ED efficiency? 4) How do ED design, patient flow structures, and use of technology affect efficiency? Filling these knowledge gaps is vital to identifying interventions that improve the delivery of emergency care in all EDs.

Interventions to improve the timeliness of emergency care

With a persistent trend of increasing emergency department (ED) volumes every year, services are intensifying. Thus, improving the timeliness of delivering emergency care should be a primary focus, both from an operational and from a research perspective. Much has been published on factors associated with delays in emergency care, and the next phase in this area of research will focus on exploring interventions to improve the timeliness of care. On June 1, 2011, Academic Emergency Medicine held a consensus conference titled "Interventions to Assure Quality in the Emergency Department." This article summarizes the findings of the breakout session that investigated interventions to improve the timeliness of emergency care. This article will explore the background on the concept of timeliness of emergency care, the current state of interventions that have been implemented to improve timeliness, and specific questions as a framework for a future research agenda.

Mapping turnaround times (TAT) to a generic timeline: a systematic review of TAT definitions in clinical domains

BACKGROUND

Assessing turnaround times can help to analyse workflows in hospital information systems. This paper presents a systematic review of literature concerning different turnaround time definitions. Our objectives were to collect relevant literature with respect to this kind of process times in hospitals and their respective domains. We then analysed the existing definitions and summarised them in an appropriate format.

METHODS

Our search strategy was based on Pubmed queries and manual reviews of the bibliographies of retrieved articles. Studies were included if precise definitions of turnaround times were available. A generic timeline was designed through a consensus process to provide an overview of these definitions.

RESULTS

More than 1000 articles were analysed and resulted in 122 papers. Of those, 162 turnaround time definitions in different clinical domains were identified. Starting and end points vary between these domains. To illustrate those turnaround time definitions, a generic timeline was constructed using preferred terms derived from the identified definitions. The consensus process resulted in the following 15 terms: admission, order, biopsy/examination, receipt of specimen in laboratory, procedure completion, interpretation, dictation, transcription, verification, report available, delivery, physician views report, treatment, discharge and discharge letter sent. Based on this analysis, several standard terms for turnaround time definitions are proposed.

CONCLUSION

Using turnaround times to benchmark clinical workflows is still difficult, because even within the same clinical domain many different definitions exist. Mapping of turnaround time definitions to a generic timeline is feasible.

The future of point-of-care testing in emergency departments

Emergency physicians and administrators continue to face operational challenges as they attempt to increase emergency department (ED) efficiency and throughput to meet the growing demand for emergency health services. Point-of-care (POC) testing technology can provide clinicians with accurate and reliable results with at least a 50% reduction in turnaround time. Despite the near perfect alignment of POC technology goals with ED operational strategy, there has been a relatively slow adoption of comprehensive POC systems. The authors discuss current market trends for the POC products in the ED and review trends in outcomes data (including operational, clinical and financial). The authors also discuss observed managerial obstacles to implementation. The goal of this paper is to provide readers with a business psychology perspective on the current challenges that organizations face in adopting a new technology and provide an evaluation of the key drivers that influence institutional-level decisions to implement an ED-based POC system. The reader will gain an understanding of the dynamic forces that are slowing the adoption of POC technology. Also, the reader is provided with the authors' future perspectives for POC testing in emergency medicine. The current healthcare system is putting a lot of pressure on EDs to be able to provide efficient care using advanced diagnostic tests. Clinicians and administrators alike must understand the gaps between the clinician's perceived benefit of POC testing and the inconsistent literature on the operational and clinical outcomes before adopting POC systems in ED.

Computerized provider order entry systems - Research imperatives and organizational challenges facing pathology services

Information and communication technologies (ICT) are contributing to major changes taking place in pathology and within health services more generally. In this article, we draw on our research experience for over 7 years investigating the implementation and diffusion of computerized provider order entry (CPOE) systems to articulate some of the key informatics challenges confronting pathology laboratories. The implementation of these systems, with their improved information management and decision support structures, provides the potential for enhancing the role that pathology services play in patient care pathways. Beyond eliminating legibility problems, CPOE systems can also contribute to the efficiency and safety of healthcare, reducing the duplication of test orders and diminishing the risk of misidentification of patient samples and orders. However, despite the enthusiasm for CPOE systems, their diffusion across healthcare settings remains variable and is often beset by implementation problems. Information systems like CPOE may have the ability to integrate work, departments and organizations, but unfortunately, health professionals, departments and organizations do not always want to be integrated in ways that information systems allow. A persistent theme that emerges from the research evidence is that one size does not fit all, and system success or otherwise is reliant on the conditions and circumstances in which they are located. These conditions and circumstances are part of what is negotiated in the complex, messy and challenging area of ICT implementation. The solution is not likely to be simple and easy, but current evidence suggests that a combination of concerted efforts, better research designs, more sophisticated theories and hypotheses as well as more skilled, multidisciplinary research teams, tackling this area of study will bring substantial benefits, improving the effectiveness of pathology services, and, as a direct corollary, the quality of patient care.

Electronic Medical Records and the Efficiency of Hospital Emergency Departments

This study examined the relationship between electronic medical records (EMR) sophistication and the efficiency of U.S. hospital emergency departments (EDs). Using data from the 2006 National Hospital Ambulatory Medical Care Survey, survey-weighted ordinary least squares regressions were used to estimate the association of EMR sophistication with ED throughput and probability a patient left without treatment. Instrumental variables were used to test for the presence of endogeneity and reverse causality. Greater EMR sophistication had a mixed association with ED efficiency. Relative to EDs with minimal or no EMR, fully functional EMR was associated with 22.4% lower ED length of stay and 13.1% lower diagnosis/treatment time. However, the relationships varied by patient acuity level and diagnostic services provided. Surprisingly, EDs with basic EMR were not more efficient on average, and basic EMR had a nonlinear relationship with efficiency that varied with the number of EMR functions used.

Supplemented Triage and Rapid Treatment (START) improves performance measures in the emergency department

BACKGROUND

Emergency Department (ED) crowding is well recognized, and multiple studies have demonstrated its negative effect on patient care.

STUDY OBJECTIVES

This study aimed to assess the effect of an intervention, Supplemented Triage and Rapid Treatment (START), on standard ED performance measures. The START program complemented standard ED triage with a team of clinicians who initiated the diagnostic work-up and selectively accelerated disposition in a subset of patients.

METHODS

This retrospective before-after study compared performance measures over two 3-month periods (September-November 2007 and 2008) in an urban, academic tertiary care ED. Data from an electronic patient tracking system were queried over 12,936 patients pre-intervention, and 14,220 patients post-intervention. Primary outcomes included: 1) overall length of stay (LOS), 2) LOS for discharged and admitted patients, and 3) the percentage of patients who left without complete assessment (LWCA).

RESULTS

In the post-intervention period, patient volume increased 9% and boarder hours decreased by 1.3%. Median overall ED LOS decreased by 29 min (8%, 361 min pre-intervention, 332 min post-intervention; p < 0.001). Median LOS for discharged patients decreased by 23 min (7%, 318 min pre-intervention, 295 min post-intervention; p < 0.001), and by 31 min (7%, 431 min pre-intervention, 400 min post-intervention) for admitted patients. LWCA was decreased by 1.7% (4.1% pre-intervention, 2.4% post-intervention; p < 0.001).

CONCLUSIONS

In this study, a comprehensive screening and clinical care program was associated with a significant decrease in overall ED LOS, LOS for discharged and admitted patients, and rate of LWCA, despite an increase in ED patient volume.

Quality initiatives in the emergency department

PURPOSE OF REVIEW

To report on recent advances in quality initiatives in emergency departments (EDs), with a special focus on applicability to pediatric EDs (PED) RECENT FINDINGS: Although healthcare quality improvement has made great strides in the last couple of decades, quality improvement efforts in pediatrics have lagged behind. Over the last decade, as quality initiatives have matured in adult hospitals, there has been a downstream effect on general EDs, as system-wide clinical guidelines are usually initiated through the ED--such efforts are being reported in the literature. There is significant overlap in quality improvement efforts in adult and pediatric EDs. In this article, we review the recent relevant articles, with particular emphasis on pediatrics where appropriate.

SUMMARY

There is an opportunity in pediatric emergency medicine to reduce practice variability, decrease cost and improve efficiency of care. There is an urgent need to report the successes and failures of these initiatives, so we can develop benchmarks and optimize services provided in the PED.

Emergency department patient volume and troponin laboratory turnaround time

OBJECTIVES

Increases in emergency department (ED) visits may place a substantial burden on both the ED and hospital-based laboratories. Studies have identified laboratory turnaround time (TAT) as a barrier to patient process times and lengths of stay. Prolonged laboratory study results may also result in delayed recognition of critically ill patients and initiation of appropriate therapies. The objective of this study was to determine how ED patient volume itself is associated with laboratory TAT.

METHODS

This was a retrospective cohort review of patients at five academic, tertiary care EDs in the United States. Data were collected on all adult patients seen in each ED with troponin laboratory testing during the months of January, April, July, and October 2007. Primary predictor variables were two ED patient volume measures at the time the troponin test was ordered: 1) number of all patients in the ED/number of beds (occupancy) and 2) number of admitted patients waiting for beds/beds (boarder occupancy). The outcome variable was troponin turnaround time (TTAT). Adjusted covariates included patient characteristics, triage severity, season (month of the laboratory test), and site. Multivariable adjusted quantile regression was carried out to assess the association of ED volume measures with TTAT.

RESULTS

At total of 9,492 troponin tests were reviewed. Median TTAT for this cohort was 107 minutes (interquartile range [IQR] = 73-148 minutes). Median occupancy for this cohort was 1.05 patients (IQR = 0.78-1.38 patients) and median boarder occupancy was 0.21 (IQR = 0.11-0.32). Adjusted quantile regression demonstrated a significant association between increased ED patient volume and longer times to TTAT. For every 100% increase in census, or number of boarders over the number of ED beds, respectively, there was a 12 (95% confidence interval [CI] = 9 to 14) or 33 (95% CI = 24 to 42)-minute increase in TTAT.

CONCLUSIONS

Increased ED patient volume is associated with longer hospital laboratory processing times. Prolonged laboratory TAT may delay recognition of conditions in the acutely ill, potentially affecting clinician decision-making and the initiation of timely treatment. Use of laboratory TAT as a patient throughput measure and the study of factors associated with its prolonging should be further investigated.

A point-of-care chemistry test for reduction of turnaround and clinical decision time

PURPOSE

Our study compared clinical decision time between patients managed with a point-of-care chemistry test (POCT) and patients managed with the traditional central laboratory test (CLT).

BASIC PROCEDURE

This was a randomized controlled multicenter trial in the emergency departments (EDs) of 5 academic teaching hospitals. We randomly assigned patients to POCT or CLT stratified by the Emergency Severity Index. A POCT chemistry analyzer (Piccolo; Abaxis, Inc, Union City, Calif), which is able to test liver panel, renal panel, pancreas enzymes, lipid panel, electrolytes, and blood gases, was set up in each ED. Primary and secondary end point was turnaround time and door-to-clinical-decision time.

MAIN FINDINGS

The total 2323 patients were randomly assigned to the POCT group (n = 1167) or to the CLT group (n = 1156). All of the basic characteristics were similar in the 2 groups. The turnaround time (median, interquartile range [IQR]) of the POCT group was shorter than that of the CLT group (14, 12-19 versus 55, 45-69 minutes; P < .0001). The median (IQR) door-to-clinical-decision time was also shorter in the POCT compared with the CLT group (46, 33-61 versus 86, 68-107 minutes; P < .0001). The proportion of patients who had new decisions within 60 minutes was 72.8% for the POCT group and 12.5% for the CLT group (P < .0001).

CONCLUSIONS

A POCT chemistry analyzer in the ED shortens the test turnaround and ED clinical decision times compared with CLT.

Attacking the problem of hospital diversion: a report of success

Hospital diversion is a critical issue for hospitals that affects safety and overall patient care. At Wishard Hospital, a public hospital with a level 1 trauma center, we critically reviewed our diversion policies and implemented a series of changes. This hospital-wide process significantly decreased our diversion rates, thereby providing consistent and safe care to our community.

Crowding delays treatment and lengthens emergency department length of stay, even among high-acuity patients

STUDY OBJECTIVE

We determine the effect of crowding on emergency department (ED) waiting room, treatment, and boarding times across multiple sites and acuity groups.

METHODS

This was a retrospective cohort study that included ED visit and inpatient medicine occupancy data for a 1-year period at 4 EDs. We measured crowding at 30-minute intervals throughout each patient's ED stay. We estimated the effect of crowding on waiting room time, treatment time, and boarding time separately, using discrete-time survival analysis with time-dependent crowding measures (ie, number waiting, number being treated, number boarding, and inpatient medicine occupancy rate), controlling for patient demographic and clinical characteristics.

RESULTS

Crowding substantially delayed patients' waiting room and boarding times but not treatment time. During the day shift, when the number boarding increased from the 50th to the 90th percentile, the adjusted median waiting room time (range 26 to 70 minutes) increased by 6% to 78% (range 33 to 82 minutes), and the adjusted median boarding time (range 250 to 626 minutes) increased by 15% to 47% (range 288 to 921 minutes), depending on the site. Crowding delayed the care of high-acuity level 2 patients at all sites. During crowded periods (ie, 90%), the adjusted median waiting room times of high-acuity level 2 patients were 3% to 35% higher than during normal periods, depending on the site and crowding measure.

CONCLUSION

Using discrete-time survival analysis, we were able to dynamically measure crowding throughout each patient's ED visit and demonstrate its deleterious effect on the timeliness of emergency care, even for high-acuity patients.