The Value of an Emergency Medicine Virtual Observation Unit.

STUDY OBJECTIVE: We implemented a virtual observation unit in which emergency department (ED) patients receive observation-level care at home. Our primary aim was to compare this new care model to in-person observation care in terms of brick-and-mortar ED length of stay (inclusive of ED observation unit time) as well as secondarily on inpatient admission and 72-hour return visits (overall and with admission). METHODS: In a retrospective analysis of electronic health record data on ED observation patients from January 1, 2022 to December 29, 2022 from an academic urban ED, we used propensity matching to compare virtual to in-person observation patients on outcomes of interest. Patients were matched 1:1 based on age, sex, Charlson Comorbidity Index, and reason for observation. We also conducted real-time review of all virtual observation cases for potential safety concerns. RESULTS: Of 8,218 observation stays, 361 virtual observation patients were matched with 361 in-person observation patients. Virtual observation patients experienced lower median brick-and-mortar ED + EDOU LOS [14.6 (IQR 10.2, 18.9) versus 33.3 (IQR 28.1, 38.1) hours] and lower inpatient admission rates (10.2% [SD 5.0] versus 24.7% [SD 11.3]). The 72-hour return rate was higher for virtual observation patients (3.6% [SD 3.0] versus 2.5% [SD 3.0]). Among those with return visits, the rate of inpatient admission was higher among virtual observation patients (53.8% [SD 3.2] versus 11.1% [13.0]). There were no significant patient safety events recorded. CONCLUSION: Virtual observation unit patients used fewer hours in ED and ED observation relative to on-site observation patients. This new care delivery model warrants further study because it has the potential to positively impact ED capacity.

Patient Perceptions of Emergency Department Observation Care at Home.

Introduction: The Virtual Observation Unit (VOU) utilizes telehealth and community paramedicine to provide observation-level care in patients' homes. Patients' experience of this novel program has not been reported. Methods: A phone-based patient experience survey was administered to the patients who were admitted to the VOU at an urban, academic Emergency Department in the Northeast United States. The survey asked about patient's perception of the program's quality of care (0 = worst care possible, 10 = best care possible). t Tests with a Bonferroni adjustment assessed for differences between patient demographic groups. Results: The survey response rate was 40% (124/307). Overall mean scores for perceived quality of care were very high (9.51 ± 1.19). There were no significant differences in patient's perception of quality of care between demographic cohorts of age, gender, race, or ethnicity. Conclusions: Patient experience with a novel VOU program was very positive and did not differ significantly by demographic cohort. Further research is warranted.

Machine Learning Methods for Predicting Patient-Level Emergency Department Workload.

BACKGROUND: Work Relative Value Units (wRVUs) are a component of many compensation models, and a proxy for the effort required to care for a patient. Accurate prediction of wRVUs generated per patient at triage could facilitate real-time load balancing between physicians and provide many practical operational and clinical benefits. OBJECTIVE: We examined whether deep-learning approaches could predict the wRVUs generated by a patient's visit using data commonly available at triage. METHODS: Adult patients presenting to an urban, academic emergency department from July 1, 2016-March 1, 2020 were included. Deidentified triage information included structured data (age, sex, vital signs, Emergency Severity Index score, language, race, standardized chief complaint) and unstructured data (free-text chief complaint) with wRVUs as outcome. Five models were examined: average wRVUs per chief complaint, linear regression, neural network and gradient-boosted tree on structured data, and neural network on unstructured textual data. Models were evaluated using mean absolute error. RESULTS: We analyzed 204,064 visits between July 1, 2016 and March 1, 2020. The median wRVUs were 3.80 (interquartile range 2.56-4.21), with significant effects of age, gender, and race. Models demonstrated lower error as complexity increased. Predictions using averages from chief complaints alone demonstrated a mean error of 2.17 predicted wRVUs per visit (95% confidence interval [CI] 2.07-2.27), the linear regression model: 1.00 wRVUs (95% CI 0.97-1.04), gradient-boosted tree: 0.85 wRVUs (95% CI 0.84-0.86), neural network with structured data: 0.86 wRVUs (95% CI 0.85-0.87), and neural network with unstructured data: 0.78 wRVUs (95% CI 0.76-0.80). CONCLUSIONS: Chief complaints are a poor predictor of the effort needed to evaluate a patient; however, deep-learning techniques show promise. These algorithms have the potential to provide many practical applications, including balancing workloads and compensation between emergency physicians, quantify crowding and mobilizing resources, and reducing bias in the triage process.

Clinical Decision Support Reduces Unnecessary Tetanus Vaccinations in the Emergency Department.

STUDY OBJECTIVE: Tetanus is the most common vaccination given in the emergency department; yet, administrations of tetanus vaccine boosters in the ED may not comply with the US Centers for Disease Control and Prevention's recommended vaccination schedule. We implemented a clinical decision support alert in the electronic health record that warned providers when ordering a tetanus vaccine if a prior one had been given within 10 years and studied its efficacy to reduce potentially unnecessary vaccines in the ED. METHODS: This was a retrospective, quasi-experimental, 1-group, pretest-posttest study in 3 hospital EDs in Boston, MA. We studied adult patients for whom tetanus vaccines were ordered despite a history of vaccination within the prior 10 years. We compared the number of potentially unnecessary tetanus vaccine administrations in a baseline phase (when the clinical decision support alert was not visible) versus an intervention phase. RESULTS: Of eligible patients, 22.1% (95% confidence interval [CI] 21.8% to 22.4%) had prior tetanus vaccines within 5 years, 12.8% (95% CI 12.5% to 13.0%) within 5 to 10 years, 3.8% (95% CI 3.6% to 3.9%) more than 10 years ago, and 61.3% (95% CI 60.9% to 61.7%) had no prior tetanus vaccination documentation. Of 60,983 encounters, 337 met the inclusion criteria. A tetanus vaccination was administered in 91% (95% CI 87% to 96%) of encounters in the baseline phase, compared to 55% (95% CI 47% to 62%) during the intervention. The absolute risk reduction was 36.7% (95% CI 28.0% to 45.4%), and the number of encounters needed to alert to avoid 1 potentially unnecessary tetanus vaccine (number needed to treat) was 2.7 (95% CI 2.2% to 3.6%). For patients with tetanus vaccines within the prior 5 years, the absolute risk reduction was 47.9% (95% CI 35.5 % to 60.3%) and the number needed to treat was 2.1 (95% CI 1.7% to 2.8%). CONCLUSION: A clinical decision support alert that warns ED clinicians that a patient may have an up-to-date tetanus vaccination status reduces potentially unnecessary vaccinations.

Emergency physicians' active patient queues over the course of a shift.

OBJECTIVES: When emergency physicians see new patients in an ad libitum system, they see fewer patients as the shift progresses. However, it is unclear if this reflects a decreasing workload, as patient assessments often span many hours. We sought to investigate whether the size of a physician's queue of active patients similarly declines over a shift. METHODS: Retrospective cohort study, conducted over two years in three community hospitals in the Northeastern United States, with 8 and 9-h shifts. Timestamps of all encounters were recorded electronically. Generalized estimating equations were constructed to predict the number of active patients a physician concurrently managed per hour. RESULTS: We evaluated 64 physicians over a two-year period, with 9822 physician-shifts. Across all sites, physicians managed an increasing queue of active patients in the first several hours. This queue plateaued in the middle of the shift, declining in the final hours, independently of other factors. Physicians' queues of active patients increased slightly with greater volume and acuity, but did not affect the overall pattern of work. Similarly, working alone or with colleagues had little effect on the number of active patients managed. CONCLUSIONS: Emergency physicians in an ad libitum system tend to see new patients until reaching a stable roster of active patients. This pattern may help explain why physicians see fewer new patients over the course of a shift, should be factored into models of throughput, and suggests new avenues for evaluating relationships between physician workload, patient safety, physicians' well-being, and the quality of care.

The cases not seen: Patterns of emergency department visits and procedures in the era of COVID-19.

OBJECTIVE: Prior data suggest Emergency Department (ED) visits for many emergency conditions decreased during the initial COVID-19 surge. However, the pandemic's impact on the wide range of conditions seen in EDs, and the resources required for treating them, has been less studied. We sought to provide a comprehensive analysis of ED visits and associated resource utilization during the initial COVID-19 surge. METHODS: We performed a retrospective analysis from 5 hospitals in a large health system in Massachusetts, comparing ED encounters from 3/1/2020-4/30/2020 to identical weeks from the prior year. Data collected included demographics, ESI, diagnosis, consultations ordered, bedside procedures, and inpatient procedures within 48 h. We compared raw frequencies between time periods and calculated incidence rate ratios. RESULTS: ED volumes decreased by 30.9% in 2020 compared to 2019. Average acuity of ED presentations increased, while most non-COVID-19 diagnoses decreased. The number and incidence rate of all non-critical care ED procedures decreased, while the occurrence of intubations and central lines increased. Most subspecialty consultations decreased, including to psychiatry, trauma surgery, and cardiology. Most non-elective procedures related to ED encounters also decreased, including craniotomies and appendectomies. CONCLUSION: Our health system experienced decreases in nearly all non-COVID-19 conditions presenting to EDs during the initial phase of the pandemic, including those requiring specialty consultation and urgent inpatient procedures. Findings have implications for both public health and health system planning.

Turning around cancer: Oncology imaging and implications for emergency department radiology workflow.

PURPOSE: Oncologic imaging in the emergency department (ED) is frequently encountered, including non-acute scans known as "metastatic workups" or "staging" (referred to as "cancer staging computed tomography (CT) exams"). This study examines the impact of oncologic staging CT exams on ED imaging turnaround time (TAT), defined as the time from the end of the CT exam to a final signed radiologist report, as well as order to scan completion time. METHODS: A retrospective review was conducted of all adult patients presenting to an urban, quaternary academic medical center ED from February 2016 to September 2017, who had CT imaging ordered, performed, and interpreted in the ED imaging department. CT exams containing institution-specific cancer descriptors were included. After excluding all acute exams, cancer staging CT exams were compared to a matched cohort of non-oncologic ED CT exams to evaluate median TAT and order to scan completion time using a log transformed multivariable linear regression. RESULTS: Adjusting for age and CT body part, cancer staging CT exams were associated with an independently statistically significant increased median log TAT compared to non-oncologic ED CT exams (114.5 min [IQR 112] versus 69 min [IQR 67], respectively, p < .0001) and an independently statistically significant increased median log initial order to scan completion time (166 min [IQR: 89] vs 119 min [IQR: 93], p < .0001). CONCLUSION: Oncology patients receiving non-acute metastatic workup scans in the ED have a significantly longer TAT compared to non-oncologic ED CT exams as well as longer order to scan completion times.

Utilization of a multidisciplinary emergency department sepsis huddle to reduce time to antibiotics and improve SEP-1 compliance.

Sepsis is a significant public health crisis in the United States, contributing to 50% of inpatient hospital deaths. Given its dramatic health effects and implications in the setting of new CMS care guidelines, ED leaders have renewed focus on appropriate and timely sepsis care, including timely administration of antibiotics in patients at risk for sepsis. Modeling the success of multidisciplinary bedside huddles in improving compliance with appropriate care in other healthcare settings, a Sepsis Huddle was implemented in a large, academic ED, with the goal of driving compliance with standardized sepsis care as described in the CMS SEP-1 measure. A retrospective cohort analysis was performed, with the primary finding that utilization of the Sepsis Huddle resulted in antibiotics being administered on average 41 min sooner than when the Sepsis Huddle was not performed. Given that literature suggests that early administration of appropriate antibiotic therapy is a major driver of mortality reduction in patients with sepsis, this study represents a proof of concept that utilization of a Sepsis Huddle may serve to improve outcomes among ED patients at risk for sepsis.

ED utilization of medical clearance testing for psychiatric admission: National Hospital Ambulatory Medical Care Survey analysis.

INTRODUCTION: Routine medical clearance testing of emergency department (ED) patients with acute psychiatric illnesses in the absence of a medical indication has minimal proven utility. Little is known about the variations in clinical practice of ordering medical clearance tests. METHODS: This study was an analysis of data from the annual United States National Hospital Ambulatory Medical Care Survey from 2010 to 2014. The study population was defined as ED visits by patients ≥18years old admitted to a psychiatric facility. We sought to determine the percentage of these ED visits in which at least one medical clearance test was ordered. Using a multivariate logistic regression model, we also evaluated whether patient visit factors or regional variation was associated with use of medical clearance tests. RESULT: A medical clearance test was ordered in 80.4% of ED visits ending with a psychiatric admission. Multivariate logistic regression demonstrated a statistically significant increased odds ratio (OR) of medical clearance testing based on age (OR 1.02, 95%CI 1.01, 1.03), among visits involving an injury or poisoning (OR 2.38, 95%CI 1.54, 3.68), and in the Midwest region as compared to the Northeast region (OR 2.2, 95% confidence interval [CI] 1.09, 4.46), after adjusting for other predictors. DISCUSSION: Our study demonstrated that, on a national level, 4 out of 5 ED visits resulting in a psychiatric facility admission had a medical clearance test ordered. Future research is needed to investigate the reasons underlying the discrepancies in ordering patterns across the U.S., including the effect of local psychiatric admission policies.

Implications of iodinated contrast media extravasation in the emergency department.

PURPOSE: To characterize the management, outcomes, and emergency department (ED) length of stay (LOS) following iodinated contrast media extravasation events in the ED. METHODS: All ED patients who developed iodinated contrast media extravasation following contrast-enhanced CT (CECT) from October 2007-December 2016 were retrospectively identified. Medical records were reviewed and management, complications, frequency of surgical consultation, and ED LOS were quantified using descriptive statistics. The Wilcoxon rank sum test was used to compare ED LOS in patients who did and did not receive surgical consultation. RESULTS: A total of 199 contrast extravasation episodes occurred in ED patients during the 9-year study period. Of these, 42 patients underwent surgical consultation to evaluate the contrast extravasation event. No patient developed progressive symptoms, compartment syndrome, or tissue necrosis, and none received treatment beyond supportive care (warm/cold packs, elevation, compression). Median ED LOS for patients who did and did not receive surgical consultation was 11.3h versus 9.0h, respectively (p<0.01). CONCLUSION: Close observation and supportive care are sufficient for contrast extravasation events in the ED without concerning symptoms (progressive pain/swelling, altered tissue perfusion, sensory changes, or blistering/ulceration). Routine surgical consultation is likely unnecessary in the absence of these symptoms - concordant with the current American College of Radiology guidelines - and may be associated with longer ED LOS without impacting management.

Describing wait time bottlenecks for ED patients undergoing head CT.

STUDY OBJECTIVES: Facing increased utilization and subsequent capacity and budget constraints, ED's must better understand bottlenecks and their effect on process flow to improve process efficiency. The primary objective of this study was to identify bottlenecks in obtaining a head CT and investigate patient waiting time based on those bottlenecks. METHODS: This observational study included all patients undergoing a head CT between July 1, 2013 and June 30, 2014 at a large, urban academic ED with over 100,000 visits per year. The primary study outcome was total cycle time, defined as the elapsed time between patient arrival and head CT preliminary report, divided into four components of workflow. RESULTS: 8312 patients who had a head CT were included in this study. The median cycle time from patient arrival to head CT preliminary report was 3h and 13min with 39min of waiting time resulting from bottlenecks. In the 4-step model (time from patient arrival to head CT order, time from head CT order to head CT scheduled, time from head CT scheduled to head CT completed, and time from head CT completed to head CT preliminary report), each process was the bottleneck 30%, <1%, 27%, and 42% of the time, respectively. CONCLUSION: Demand capacity mismatch in head CT scanning has a significant impact on patient waiting times. This study suggests opportunities to improve wait times through future research to understand the causes of delays in CT ordering, CT completion and timeliness of radiology reports.

Attending documentation contribution to billing at an academic ED with an electronic health record.

INTRODUCTION: In emergency medicine (EM), patient care documentation serves many functions, including supporting reimbursement. In addition, many electronic health record systems facilitate automatically populating certain data fields. As a result, in the academic model, the attending's note may now more often recapitulate many of the same elements found in the resident's or physician assistant's (PA) note. We sought to determine the value of additional attending documentation, and how often the attending documentation prevented a downcoding event. METHODS: This retrospective, cross-sectional study was exempted by the Institutional Review Board. We randomly reviewed 10 charts for each attending physician during the study period. Outcome measures included the frequency of prevented downcoding events, and the difference in this incidence between residents and PAs. RESULTS: 530 charts were identified, but 6 were excluded as these patients left without being seen. 524 charts remained, of which 286 (45%) notes were written by residents and 238 (55%) notes were written by PAs. Attending documentation prevented 16 (3%) downcoding events, of which 11 were in patient encounters documented by residents and 5 were in encounters documented by PAs (p=0.057). CONCLUSIONS: In this study of an academic medical center documentation model with an EHR, EM attending documentation of the history of present illness, review of systems, physical exam, and medical decision making portions prevented downcoding in a small number of cases. In addition, there was no significant difference in the incidence of prevented downcoding events between residents and PAs.

Opportunity to reduce transfer of patients with mild traumatic brain injury and intracranial hemorrhage to a Level 1 trauma center.

OBJECTIVE: Current guidelines do not address the disposition of patients with mild traumatic brain injury (TBI) and resultant intracranial hemorrhage (ICH). Emergency medicine clinicians working in hospitals without neurosurgery coverage typically transfer patients with both to a trauma center with neurosurgery capability. Evidence is accruing which demonstrates that the risk of neurologic decompensation depends on the type of ICH and as a result, not every patient may need to be transferred. The purpose of this study was to identify risk factors for admission among patients with mild TBI and ICH who were transferred from a community hospital to the emergency department (ED) of a Level 1 trauma center. METHODS: Study subjects were patients ≥18years of age who were transferred from a community hospital to the ED of an urban, academic Level 1 trauma center between April 1, 2015 and March 31, 2016, and with an isolated traumatic ICH. Patients who had an epidural hematoma, were deemed to require a trauma center's level of service, were found to have non-traumatic ICHs, or had a Glasgow Coma Scale of <13 were excluded. Using a multivariable logistic regression model, we sought to determine patient factors and Computed Tomography (CT) findings which were associated with admission (to the floor, intensive care unit, or operating room with neurosurgery) of the Level 1 trauma center. RESULTS: 644 transferred patients were identified; 205 remained eligible after exclusion criteria. Presence of warfarin (odds ratio [OR] 4.09, 95% Confidence Interval [CI] 1.64, 10.25, p=0.0026) and a subdural hematoma (SDH) ≥1 cm (OR 6.28, 95% CI 1.24, 31.71, p=0.0263) were independently statistically significant factors predicting admission. Age, sex, GCS, presence of neurologic deficit, aspirin use, clopidogrel use, SDH <1 cm, IPH, and SAH were each independently not significant predictive factors of an admission. CONCLUSIONS: After controlling for factors, transferred patients with mild TBI with a SDH ≥1 cm or on warfarin have a higher odds ratio of requiring inpatient admission to a Level 1 trauma center. While these patients may require admission, there may be opportunities to develop and study a low risk traumatic intracranial hemorrhage protocol, which keeps a subgroup of patients with a mild TBI and resultant ICH at community hospitals with access to a nearby Level 1 trauma center.

Expedited Discharge from an Academic Emergency Department: A Pilot Program.

BACKGROUND: As the numbers of emergency department (ED) visits and inpatient admissions continue to increase, there is growing interest in alternatives to inpatient hospitalization. OBJECTIVE: Our aim was to investigate a novel approach to expediting discharges from the ED with multidisciplinary discharge services to prevent an avoidable admission into the hospital. METHODS: This pilot study was conducted at a large urban tertiary-care ED in 2016. All patients presenting to the ED with planned inpatient or observation admission were considered for discharge with enhanced discharge planning services. The patients selected, discharge diagnoses, and outcomes were analyzed by descriptive statistics. This study was approved by the study site's Institutional Review Board, including waiver of patient consent. RESULTS: During the pilot period, 57 out of 143 (40%) selected patients with planned admission were discharged with enhanced discharge planning services. Median ED length of stay was 17.2 h and mean patient age was 73 years old. Of these patients, 7 (12%) returned within 72 h and 4 (0.07%) were subsequently admitted to the hospital. CONCLUSIONS: In this pilot study, a novel approach to expediting discharges from the ED with multidisciplinary discharge services was feasible and resulted in fewer admissions to the hospital.

Cost savings associated with transfer of trauma patients within an accountable care organization.

BACKGROUND: The Patient Protection and Affordable Care Act supports the establishment of accountable care organizations (ACOs) as care delivery models designed to save costs. The potential for these cost savings has been demonstrated in the primary care and inpatient populations, but not for patients with emergency conditions or traumatic injuries. METHODS: Our study evaluated adult trauma patients transferred to the tertiary care hospitals of a pioneer ACO, comparing those who were transferred from within the ACO to those from outside the ACO in terms of overall cost of hospitalization. Hospital length of stay and number of imaging studies were predetermined secondary outcomes. RESULTS: The study population included 7696 hospitalizations for traumatic injuries over a 5-year period, 85.1% of which were for patients transferred from outside the ACO. Patients transferred from within the ACO had a 7.2% lower overall cost of hospitalization (P = .032). Mean injury severity scores were not significantly different between groups. Differences in mortality, intensive care unit length of stay, and overall hospital length of stay were not significant. However, analysis of radiology studies performed during the hospitalization revealed that patients transferred from within the ACO had, on average, 0.47 fewer advanced imaging studies per hospitalization than did those transferred from outside the ACO (3.55 vs 4.02 studies per hospitalization, P = .003). CONCLUSIONS: Adult trauma patients transferred from within an ACO have significantly lower total costs of hospitalization than do those transferred from outside the system, without significant differences in disease burden, hospital length of stay, or mortality.

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.