The Effect of a Rapid Assessment Zone on Emergency Department Operations and Throughput

Emergency Department Length of Stay: A Community Hospital Initiative

OBJECTIVE

This quality improvement initiative was conducted to determine if a provider in triage and split flow model could decrease the length of stay (LOS) of discharged patients seen in a community hospital emergency department (ED).

BACKGROUND

Extended LOSs within the ED lead to delays in the care of patients, increase the number of patients who leave without being seen by a provider, decrease patient satisfaction, and cause a loss of revenue for health care organizations. Using a provider in triage and a split flow model, where patients can be seen and dispositioned without delays, can improve ED throughput and decrease the overall LOS.

METHODS

Through a structured, interdisciplinary approach using the Plan-Do-Study-Act Shewhart Cycle of Process Improvement, a provider was placed in triage, and an interior waiting room was used to evaluate emergency severity index level 3 and 4 patients to expedite diagnostic testing and perform procedures. This model allowed lower acuity patients to be cared for separately from higher acuity patients, who were being treated in the main ED. In addition, the median arrival to provider, arrival to bed, and LOS from arrival to departure of discharged patients were compared to the current departmental processes.

RESULTS

There was a significant improvement in the LOS of discharged patients and the time of arrival to triage, arrival to bed, and arrival to provider using a provider in triage and a split flow model compared to the current intake.

CONCLUSION

Implementation of a provider in triage and a split flow model can demonstrate a decrease in the LOS of discharged patients along with other ED metrics and improve efficiencies in patient care within a community hospital.

Use of Mobile Technologies to Streamline Pretriage Patient Flow in the Emergency Department: Observational Usability Study

BACKGROUND

In emergency departments (EDs), triage nurses are under tremendous daily pressure to rapidly assess the acuity level of patients and log the collected information into computers. With self-service technologies, patients could complete data entry on their own, allowing nurses to focus on higher-order tasks. Kiosks are a popular working example of such self-service technologies; however, placing a sufficient number of unwieldy and fixed machines demands a spatial change in the greeting area and affects pretriage flow. Mobile technologies could offer a solution to these issues.

OBJECTIVE

The aim of this study was to investigate the use of mobile technologies to improve pretriage flow in EDs.

METHODS

The proposed stack of mobile technologies includes patient-carried smartphones and QR technology. The web address of the self-registration app is encoded into a QR code, which was posted directly outside the walk-in entrance to be seen by every ambulatory arrival. Registration is initiated immediately after patients or their proxies scan the code using their smartphones. Patients could complete data entry at any site on the way to the triage area. Upon completion, the result is saved locally on smartphones. At the triage area, the result is automatically decoded by a portable code reader and then loaded into the triage computer. This system was implemented in three busy metropolitan EDs in Shanghai, China. Both kiosks and smartphones were evaluated randomly while being used to direct pretriage patient flow. Data were collected during a 20-day period in each center. Timeliness and usability of medical students simulating ED arrivals were assessed with the After-Scenario Questionnaire. Usability was assessed by triage nurses with the Net Promoter Score (NPS). Observations made during system implementation were subject to qualitative thematic analysis.

RESULTS

Overall, 5928 of 8575 patients performed self-registration on kiosks, and 7330 of 8532 patients checked in on their smartphones. Referring effort was significantly reduced (43.7% vs 8.8%; P<.001) and mean pretriage waiting times were significantly reduced (4.4, SD 1.7 vs 2.9, SD 1.0 minutes; P<.001) with the use of smartphones compared to kiosks. There was a significant difference in mean usability scores for "ease of task completion" (4.4, SD 1.5 vs 6.7, SD 0.7; P<.001), "satisfaction with completion time" (4.5, SD 1.4 vs 6.8, SD 0.6; P<.001), and "satisfaction with support" (4.9, SD 1.9 vs 6.6, SD 1.2; P<.001). Triage nurses provided a higher NPS after implementation of mobile self-registration compared to the use of kiosks (13.3% vs 93.3%; P<.001). A modified queueing model was identified and qualitative findings were grouped by sequential steps.

CONCLUSIONS

This study suggests patient-carried smartphones as a useful tool for ED self-registration. With increased usability and a tailored queueing model, the proposed system is expected to minimize pretriage waiting for patients in the ED.

Adapting to Change: A Systematic Literature Review of Environmental Flexibility in Emergency Departments

PURPOSE

This study aimed to offer a comprehensive analysis of distinct design strategies identified, evaluated, or discussed in the existing literature that promote environmental flexibility in the context of emergency departments (EDs).

BACKGROUND

EDs are subject to constant changes caused by several factors, including seasonal disease trends, the emergence of new technologies, and surges resulting from local or global disasters, such as mass casualty incidents or pandemics. Thus, integrating flexibility into ED design becomes crucial to effectively addressing these evolving needs.

METHODS

A systematic search was conducted in four databases: CINAHL, MEDLINE, PubMed, and ScienceDirect, in addition to a hand search. A two-stage review process was employed to determine the final list of included articles based on the inclusion criteria. Included studies were evaluated for quality, and findings were categorized using a hybrid deductive and inductive coding approach.

RESULTS

From the initial yield of 900 records, 22 studies met the inclusion criteria and were included in the final full-text review. The identified design strategies were organized into five categories: modifiability (n = 13 articles), versatility (n = 8 articles), tolerance (n = 6 articles), convertibility (n = 4 articles), and scalability (n = 7 articles). Specific design strategies under each category are reported in detail.

CONCLUSIONS

Our findings suggest that most flexibility design solutions are based on anecdotal evidence or descriptive studies, which carry less weight in terms of reliable support for conclusions. Therefore, more studies employing quantitative, relational, or causal designs are recommended.

Overcrowding in emergency departments: an overview of reviews describing global solutions and their outcomes

Emergency Department (ED) crowding is defined as a situation wherein the demands of emergency services overcome the ability of a department to provide high-quality care within an appropriate time frame. There is a need for solutions, as the harms of crowding impact patients, staff, and healthcare spending. An overview of ED crowding was previously published by our group, which outlines these global issues. The problem of overcrowding in emergency departments has emerged as a global public health concern, and several healthcare agencies have addressed the issue and proposed possible solutions at each level of emergency care. There is no current literature summarizing the extensive research on interventions and solutions, thus there is a need for data synthesis to inform policymakers in this field. The aim of this overview was to summarize the interventions at each level of emergency care: input, throughput, and output. The methodology was supported by the current PRIOR statement for an overview of reviews. The study summarized twenty-seven full-text systematic reviews, which encompassed three hundred and eight primary studies. The results of the summary displayed a requirement for increasing studies in input and output interventions, as these showed the best outcomes with regard to ED crowding metrics. Moreover, the results displayed heterogeneous results at each level of ED care; these reflected that generally solutions have not been matched to specific problems facing regional centres. Thus, individual factors need to be considered when implementing solutions in Emergency Departments.

Creating a Rapid Assessment Zone with Limited Emergency Department Capacity Decreases Patients Leaving Without Being Seen: A Quality Improvement Initiative

INTRODUCTION

Patients leaving the emergency department before treatment (left without being seen) result in increased risks to patients and loss of revenue to the hospital system. Rapid assessment zones, where patients can be quickly evaluated and treated, have the potential to improve ED throughput and decrease the rates of patients leaving without being seen. We sought to evaluate the impact of a rapid assessment zone on the rate of patients leaving without being seen.

METHODS

A pre- and post-quality improvement process was performed to examine the impact of implementing a rapid assessment zone process at an urban community hospital emergency department. Through a structured, multidisciplinary approach using the Plan, Do, Check, Act Deming Cycle of process improvement, the triage area was redesigned to include 8 rapid assessment rooms and shifted additional ED staff, including nurses and providers, into this space. Rates of patients who left without being seen, median arrival to provider times, and discharge length of stay between the pre- and postintervention periods were compared using parametric and nonparametric tests when appropriate.

RESULTS

Implementation of the rapid assessment zone occurred February 1, 2021, with 42,115 ED visits eligible for analysis; 20,731 visits before implementation and 21,384 visits after implementation. All metrics improved from the 6 months before intervention to the 6 month after intervention: rate of patients who left without being seen (5.64% vs 2.55%; c² = 258.13; P < .01), median arrival to provider time in minutes (28 vs 11; P < .01), and median discharge length of stay in minutes (205 vs 163; P < .01).

DISCUSSION

Through collaboration and an interdisciplinary team approach, leaders and staff developed and implemented a rapid assessment zone that reduced multiple throughput metrics.

Reducing Crowding in Emergency Departments With Early Prediction of Hospital Admission of Adult Patients Using Biomarkers Collected at Triage: Retrospective Cohort Study

BACKGROUND

Emergency department crowding continues to threaten patient safety and cause poor patient outcomes. Prior models designed to predict hospital admission have had biases. Predictive models that successfully estimate the probability of patient hospital admission would be useful in reducing or preventing emergency department "boarding" and hospital "exit block" and would reduce emergency department crowding by initiating earlier hospital admission and avoiding protracted bed procurement processes.

OBJECTIVE

To develop a model to predict imminent adult patient hospital admission from the emergency department early in the patient visit by utilizing existing clinical descriptors (ie, patient biomarkers) that are routinely collected at triage and captured in the hospital's electronic medical records. Biomarkers are advantageous for modeling due to their early and routine collection at triage; instantaneous availability; standardized definition, measurement, and interpretation; and their freedom from the confines of patient histories (ie, they are not affected by inaccurate patient reports on medical history, unavailable reports, or delayed report retrieval).

METHODS

This retrospective cohort study evaluated 1 year of consecutive data events among adult patients admitted to the emergency department and developed an algorithm that predicted which patients would require imminent hospital admission. Eight predictor variables were evaluated for their roles in the outcome of the patient emergency department visit. Logistic regression was used to model the study data.

RESULTS

The 8-predictor model included the following biomarkers: age, systolic blood pressure, diastolic blood pressure, heart rate, respiration rate, temperature, gender, and acuity level. The model used these biomarkers to identify emergency department patients who required hospital admission. Our model performed well, with good agreement between observed and predicted admissions, indicating a well-fitting and well-calibrated model that showed good ability to discriminate between patients who would and would not be admitted.

CONCLUSIONS

This prediction model based on primary data identified emergency department patients with an increased risk of hospital admission. This actionable information can be used to improve patient care and hospital operations, especially by reducing emergency department crowding by looking ahead to predict which patients are likely to be admitted following triage, thereby providing needed information to initiate the complex admission and bed assignment processes much earlier in the care continuum.

Pediatric ED Utilization in a Destination City: Demographic, Clinical, and Temporal Trends

OBJECTIVES

Seasonal variation in emergency department (ED) visits has been shown for a variety of pediatric conditions, but previous studies have not considered how geographic location may also influence when and why these patients present to the ED. Our study examined the demographic and clinical characteristics as well as the seasonal variation among 3 patient populations (locals, in-state nonlocals, and out-of-state visitors) presenting to our pediatric ED (PED), which is located in a coastal, destination city.

METHODS

This was a retrospective chart review of PED visits from June 2014 to June 2019 at the Medical University of South Carolina Children's Hospital, a tertiary care facility located in Charleston, SC. Pediatric ED encounters were divided into 3 groups, depending on the patient's home address: local patients residing in the 3 surrounding metro counties, in-state but nonlocal patients, and out-of-state patients. Demographic and clinical information was abstracted for each visit and compared among the 3 patient groups. Seasonal variation among PED visits was determined by recording the week of the year during which each visit occurred.

RESULTS

Local patients accounted for more than 90% of PED visits with increases in visits from October to April. In-state nonlocal patients presented at consistent rates throughout the year, whereas out-of-state ED utilization peaked significantly during the summer months, Spring Break, Thanksgiving, and Christmas. Our local patient population was majority African American; our in-state nonlocal patients roughly matched our state's racial demographics, and our out-of-state population was predominantly White. Compared with in-state nonlocal patients, our local patients were more likely to present with an infection-related complaint and be diagnosed with lower-acuity conditions such as viral infection, otitis media, upper respiratory infection, cough, fever, and gastroenteritis. In-state nonlocal patients had the highest average triage acuity, more frequently had laboratory tests and imaging ordered, and were more than 4.5 times as likely to be admitted to the hospital compared with our local patients. In-state nonlocal patients were also more likely to present with a psychiatric chief complaint compared with our local patients. Out-of-state patients had a similar overall acuity to local patients but were more likely to have imaging ordered and be diagnosed with injuries such as fractures.

CONCLUSION

At our institution, local patients, in-state nonlocal patients, and out-of-state patients exhibited 3 distinct patterns of PED utilization. Knowledge of these trends can be used to optimize resource allocation and follow-up planning, particularly for our out-of-state patient population.

Toward Building Surge Capacity: Potentially Effective Spatial Configurations in Emergency Departments

BACKGROUND

Emergency departments (EDs) have been struggling with overcrowding issues for years. Some spatial configurations have been proposed to improve ED performance in facing overcrowding. Despite similarities with mass casualty incidents (MCIs), when demand for care exceeds the capacity, little is documented about the application of the proposed configurations during MCIs to improve surge capacity.

OBJECTIVES

We aimed to explore the potential of spatial configurations that have been proposed to handle ED overcrowding in daily operations so as to improve surge capacity during MCIs.

METHODS

Using an online Likert-scale survey, 11 spatial design strategies were rated by ED care teams in terms of their potential to improve surge capacity during MCIs.

RESULTS

Responses from 72 participants revealed that establishing an in-house lab was perceived as the most potential strategy, followed by rapid care area, internal waiting rooms, and in-house imaging. In contrast, separate entrance and exit doors, as well as decentralized nurse stations, were perceived as the least potential strategies but also exhibited the most variance in response. Respondents' comments implied that their choice of in-house ancillary services was primarily to improve communication and to reduce turnaround time and risk of errors. Their choice of rapid care and internal waiting areas related to improved flexibility.

CONCLUSIONS

Understanding clinicians' perspectives on potentially effective spatial configurations aids in implementing balanced strategies to better equip EDs to handle overcrowding in daily operations and manage surges during MCIs.

Wilhelms D. Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross-sectional study

BACKGROUND

Emergency department (ED) crowding causes increased patient morbidity and mortality. ED occupancy rate (OR; patients by treatment beds) is a common measure of crowding, but the comparability of ORs between EDs is unknown. The objective of this investigation was to investigate differences in ORs between EDs using staff-perceived workload as reference.

METHODS

This was a national cross-sectional study in Sweden. EDs provided data on census, treatment beds, staffing, and workload (1-6) at 5 time points. A baseline patient turnover was calculated as the average daily census by treatment beds, denoted turnover per treatment bed (TTB), for each ED. A census ratio (CR), current by daily census, was calculated to adjust for differences in the number of treatment beds.

RESULTS

Data were returned from 37 (51%) EDs. TTB varied considerably (mean = 4, standard deviation = 1.6; range, 2.1-9.2), and the OR was higher in EDs with TTB >4 compared with ≤4, 0.86 versus 0.43 (0.43; 95% confidence interval [CI], 0.27-0.59), but not workload, 2.75 versus 2.52 (0.23; 95% CI, -0.19 to 0.64). After adjusting for confounders, both TTB (k = -0.3; 95% CI, -0.49 to -0.14) and OR (k = 3.4; 95% CI, 1.76-5.03) affected workload. Correlation with workload was better for CR than for OR (r = 0.75 vs 0.60, respectively).

CONCLUSION

OR is affected by patient-to-treatment bed ratios that differ significantly between EDs and should be accounted for when measuring crowding. CR is not affected by baseline treatment beds and is a better comparable measure of crowding compared with OR in this national comparator study.

Overuse of Health Care in the Emergency Services in Chile

The Public Health Service in Chile consists of different levels of complexity and coverage depending on the severity and degree of specialization of the pathology to be treated. From primary to tertiary care, tertiary care is highly complex and has low coverage. This work focuses on an analysis of the public health system with emphasis on the healthcare network and tertiary care, whose objectives are designed to respond to the needs of each patient. A review of the literature and a field study of the problem of studying the perception of internal and external users is presented. This study intends to be a contribution in the detection of opportunities for the relevant actors and the processes involved through the performance of Triage. The main causes and limitations of the excessive use of emergency services in Chile are analyzed and concrete proposals are generated aiming to benefit clinical care in emergency services. Finally, improvements related to management are proposed and the main aspects are determined to improve decision-making in hospitals, which could be a contribution to public health policies.