Reducing time to admission in emergency department patients: a cross-functional quality improvement project.

Crowding and boarding are common issues facing emergency departments (EDs) in the USA. These issues have negative effects on efficiency, patient care, satisfaction and healthcare team well-being. Data from an audit of the admissions process at a large, urban, academic US ED demonstrated a lengthy process, exceeding national benchmarks in both length of stay and boarding of admitted patients.We performed a pre-post study between July 2019 and July 2021 focused on the first step of the admission process at our institution, the time to bed request. All patients admitted to an internal medicine (IM) floor team from the ED were included in the study. The primary outcome was the time from decision to admit by the emergency medicine physician to placement of the bed request order by the IM physician. Quality improvement (QI) occurred in three phases: an initial preintervention process and electronic health record change to better capture admission times, a primary intervention focused on process change and provider education and a second intervention focused on improvements to provider communication.During the study period, 25 183 patients were admitted to IM floor teams and met inclusion criteria. Prior to the primary intervention, the mean time from ED decision to admit to IM placement of the bed request order was 75.1 min. Postintervention, the mean time decreased to 39.7 min, a statistically significant improvement of 35.4 min (p value <0.0001).This QI project demonstrates the ability of interventions to reduce the time to admission bed request order, a key step in the overall admission process and a contributor to boarding at our institution. In making process changes, the team also reduced provider handoffs and improved provider communication.

The effect of batched patient-physician assignment on patient length of stay in the emergency department.

Objectives: Queuing theory suggests that signing up for multiple patients at once (batching) can negatively affect patients' length of stay (LOS). At academic centers, resident assignment adds a second layer to this effect. In this study, we measured the rate of batched patient assignment by resident physicians, examined the effect on patient in-room LOS, and surveyed residents on underlying drivers and perceptions of batching. Methods: This was a retrospective study of discharged patients from August 1, 2020 to October 27, 2020, supplemented with survey data conducted at a large, urban, academic hospital with an emergency medicine training program in which residents self-assign to patients. Time stamps were extracted from the electronic health record and a definition of batching was set based on findings of a published time and motion study. Results: A total of 3794 patients were seen by 28 residents and ultimately discharged during the study period. Overall, residents batched 23.7% of patients, with a greater rate of batching associated with increasing resident seniority and during the first hour of resident shifts. In-room LOS for batched assignment patients was 15.9 minutes longer than single assignment patients (P value < 0.01). Residents' predictions of their rates of batching closely approximated actual rates; however, they underestimated the effect of batching on LOS. Conclusions: Emergency residents often batch patients during signup with negative consequences to LOS. Moreover, residents significantly underestimate this negative effect.

An Unusual ECG Artifact Caused by Faulty Cardiac Monitor Leads.

CASE PRESENTATION: We present the case of a 74-year-old female patient who presented to the emergency department with lower extremity weakness found to have a fixed frequency square wave artifact in all leads of her electrocardiogram (ECG). After troubleshooting, faulty external cardiac monitor leads were identified as the cause of this unique artifact. DISCUSSION: The ECG is an important diagnostic tool for medical providers. Electrocardiogram artifacts are extremely common, and knowledge of artifacts is necessary to prevent inappropriate interpretation, diagnostic error, and unnecessary workup. Medical providers should have a low threshold for suspicion when ECG findings do not correlate with the patient's chief complaint or history of present illness. They must also be familiar with the most frequent ECG artifact variants and be prepared to follow a stepwise approach to troubleshoot less frequent variants.

Quality Improvement Initiative to Increase Rate of and Time to Post-intubation Analgesia in the Emergency Department.

INTRODUCTION: Intubation and mechanical ventilation are common interventions performed in the emergency department (ED). These interventions cause pain and discomfort to patients and necessitate analgesia and sedation. Recent trends in the ED and intensive care unit focus on an analgesia-first model to improve patient outcomes. Initial data from our institution demonstrated an over-emphasis on sedation and an opportunity to improve analgesic administration. As a result of these findings, the ED undertook a quality improvement (QI) project aimed at improving analgesia administration and time to analgesia post-intubation. METHODS: We performed a pre-post study between January 2017-February 2019 in the ED. Patients over the age of 18 who were intubated using rapid sequence intubation (RSI) were included in the study. The primary outcome was the rate of analgesia administration; a secondary outcome was time to analgesia administration. Quality improvement interventions occurred in two phases: an initial intervention focused on nursing education only, and a subsequent intervention that included nursing and physician education. RESULTS: During the study period, 460 patients were intubated in the ED and met inclusion/exclusion criteria. Prior to the first intervention, the average rate of analgesia administration was 57.3%; after the second intervention, the rate was 94.9% (P <0.01). Prior to the first intervention, average time to analgesia administration was 36.0 minutes; after the second intervention, the time was 16.6 minutes (P value <0.01). CONCLUSION: This QI intervention demonstrates the ability of education interventions alone to increase the rate of analgesia administration and reduce the time to analgesia in post-intubation patients.

Design of the Academic Emergency Department.

This article introduces a clinical audience to the process of emergency department (ED) design, particularly relating to academic EDs. It explains some of the major terms, processes, and key decisions that clinical staff will experience as participants in the design process. Topics covered include an overview of the planning and design process, issues related to determining needed patient capacity, the impact of patient flow models on design, and a description of several common ED design types and their advantages and disadvantages.

Rapid Emergency Medicine Score (REMS) in the trauma population: a retrospective study.

OBJECTIVE: Rapid Emergency Medicine Score (REMS) is an attenuated version of the Acute Physiology and Chronic Health Evaluation (APACHE) II score and has utility in predicting mortality in non-surgical patients, but has yet to be tested among the trauma population. The objective was to evaluate REMS as a risk stratification tool for predicting in-hospital mortality in traumatically injured patients and to compare REMS accuracy in predicting mortality to existing trauma scores, including the Revised Trauma Score (RTS), Injury Severity Score (ISS) and Shock Index (SI). DESIGN AND SETTING: Retrospective chart review of the trauma registry from an urban academic American College of Surgeons (ACS) level 1 trauma centre. PARTICIPANTS: 3680 patients with trauma aged 14 years and older admitted to the hospital over a 4-year period. Patients transferred from other hospitals were excluded from the study as were those who suffered from burn or drowning-related injuries. Patients with vital sign documentation insufficient to calculate an REMS score were also excluded. PRIMARY OUTCOME MEASURES: The predictive ability of REMS was evaluated using ORs for in-hospital mortality. The discriminate power of REMS, RTS, ISS and SI was compared using the area under the receiver operating characteristic curve. RESULTS: Higher REMS was associated with increased mortality (p<0.0001). An increase of 1 point in the 26-point REMS scale was associated with an OR of 1.51 for in-hospital death (95% CI 1.45 to 1.58). REMS (area under the curve (AUC) 0.91±0.02) was found to be similar to RTS (AUC 0.89±0.04) and superior to ISS (AUC 0.87±0.01) and SI (AUC 0.55±0.31) in predicting in-hospital mortality. CONCLUSIONS: In the trauma population, REMS appears to be a simple, accurate predictor of in-hospital mortality. While REMS performed similarly to RTS in predicting mortality, it did outperform other traditionally used trauma scoring systems, specifically ISS and SI.