First-Attempt Success Between Anatomically and Physiologically Difficult Airways in the National Emergency Airway Registry.

BACKGROUND: In the emergency department (ED), certain anatomical and physiological airway characteristics may predispose patients to tracheal intubation complications and poor outcomes. We hypothesized that both anatomically difficult airways (ADAs) and physiologically difficult airways (PDAs) would have lower first-attempt success than airways with neither in a cohort of ED intubations. METHODS: We performed a retrospective, observational study using the National Emergency Airway Registry (NEAR) to examine the association between anticipated difficult airways (ADA, PDA, and combined ADA and PDA) vs those without difficult airway findings (neither ADA nor PDA) with first-attempt success. We included adult (age ≥14 years) ED intubations performed with sedation and paralysis from January 1, 2016 to December 31, 2018 using either direct or video laryngoscopy. We excluded patients in cardiac arrest. The primary outcome was first-attempt success, while secondary outcomes included first-attempt success without adverse events, peri-intubation cardiac arrest, and the total number of airway attempts. Mixed-effects models were used to obtain adjusted estimates and confidence intervals (CIs) for each outcome. Fixed effects included the presence of a difficult airway type (independent variable) and covariates including laryngoscopy device type, intubator postgraduate year, trauma indication, and patient age as well as the site as a random effect. Multiplicative interaction between ADAs and PDAs was assessed using the likelihood ratio (LR) test. RESULTS: Of the 19,071 subjects intubated during the study period, 13,938 were included in the study. Compared to those without difficult airway findings (neither ADA nor PDA), the adjusted odds ratios (aORs) for first-attempt success were 0.53 (95% CI, 0.40-0.68) for ADAs alone, 0.96 (0.68-1.36) for PDAs alone, and 0.44 (0.34-0.56) for both. The aORs for first-attempt success without adverse events were 0.72 (95% CI, 0.59-0.89) for ADAs alone, 0.79 (0.62-1.01) for PDAs alone, and 0.44 (0.37-0.54) for both. There was no evidence that the interaction between ADAs and PDAs for first-attempt success with or without adverse events was different from additive (ie, not synergistic/multiplicative or antagonistic). CONCLUSIONS: Compared to no difficult airway characteristics, ADAs were inversely associated with first-attempt success, while PDAs were not. Both ADAs and PDAs, as well as their interaction, were inversely associated with first-attempt success without adverse events.

Evaluating Large Language Models in Extracting Cognitive Exam Dates and Scores.

Importance: Large language models (LLMs) are crucial for medical tasks. Ensuring their reliability is vital to avoid false results. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) for extracting clinical information, focusing on cognitive tests like MMSE and CDR. Objective: Evaluate ChatGPT and LlaMA-2 performance in extracting MMSE and CDR scores, including their associated dates. Methods: Our data consisted of 135,307 clinical notes (Jan 12th, 2010 to May 24th, 2023) mentioning MMSE, CDR, or MoCA. After applying inclusion criteria 34,465 notes remained, of which 765 underwent ChatGPT (GPT-4) and LlaMA-2, and 22 experts reviewed the responses. ChatGPT successfully extracted MMSE and CDR instances with dates from 742 notes. We used 20 notes for fine-tuning and training the reviewers. The remaining 722 were assigned to reviewers, with 309 each assigned to two reviewers simultaneously. Inter-rater-agreement (Fleiss' Kappa), precision, recall, true/false negative rates, and accuracy were calculated. Our study follows TRIPOD reporting guidelines for model validation. Results: For MMSE information extraction, ChatGPT (vs. LlaMA-2) achieved accuracy of 83% (vs. 66.4%), sensitivity of 89.7% (vs. 69.9%), true-negative rates of 96% (vs 60.0%), and precision of 82.7% (vs 62.2%). For CDR the results were lower overall, with accuracy of 87.1% (vs. 74.5%), sensitivity of 84.3% (vs. 39.7%), true-negative rates of 99.8% (98.4%), and precision of 48.3% (vs. 16.1%). We qualitatively evaluated the MMSE errors of ChatGPT and LlaMA-2 on double-reviewed notes. LlaMA-2 errors included 27 cases of total hallucination, 19 cases of reporting other scores instead of MMSE, 25 missed scores, and 23 cases of reporting only the wrong date. In comparison, ChatGPT's errors included only 3 cases of total hallucination, 17 cases of wrong test reported instead of MMSE, and 19 cases of reporting a wrong date. Conclusions: In this diagnostic/prognostic study of ChatGPT and LlaMA-2 for extracting cognitive exam dates and scores from clinical notes, ChatGPT exhibited high accuracy, with better performance compared to LlaMA-2. The use of LLMs could benefit dementia research and clinical care, by identifying eligible patients for treatments initialization or clinical trial enrollments. Rigorous evaluation of LLMs is crucial to understanding their capabilities and limitations.

Structure and Funding of Clinical Informatics Fellowships: A National Survey of Program Directors.

BACKGROUND: In 2011, the American Board of Medical Specialties established clinical informatics (CI) as a subspecialty in medicine, jointly administered by the American Board of Pathology and the American Board of Preventive Medicine. Subsequently, many institutions created CI fellowship training programs to meet the growing need for informaticists. Although many programs share similar features, there is considerable variation in program funding and administrative structures. OBJECTIVES: The aim of our study was to characterize CI fellowship program features, including governance structures, funding sources, and expenses. METHODS: We created a cross-sectional online REDCap survey with 44 items requesting information on program administration, fellows, administrative support, funding sources, and expenses. We surveyed program directors of programs accredited by the Accreditation Council for Graduate Medical Education between 2014 and 2021. RESULTS: We invited 54 program directors, of which 41 (76%) completed the survey. The average administrative support received was $27,732/year. Most programs (85.4%) were accredited to have two or more fellows per year. Programs were administratively housed under six departments: Internal Medicine (17; 41.5%), Pediatrics (7; 17.1%), Pathology (6; 14.6%), Family Medicine (6; 14.6%), Emergency Medicine (4; 9.8%), and Anesthesiology (1; 2.4%). Funding sources for CI fellowship program directors included: hospital or health systems (28.3%), clinical departments (28.3%), graduate medical education office (13.2%), biomedical informatics department (9.4%), hospital information technology (9.4%), research and grants (7.5%), and other sources (3.8%) that included philanthropy and external entities. CONCLUSION: CI fellowships have been established in leading academic and community health care systems across the country. Due to their unique training requirements, these programs require significant resources for education, administration, and recruitment. There continues to be considerable heterogeneity in funding models between programs. Our survey findings reinforce the need for reformed federal funding models for informatics practice and training.

The Clinical Emergency Data Registry: Structure, Use, and Limitations for Research.

The Clinical Emergency Data Registry (CEDR) is a qualified clinical data registry that collects data from participating emergency departments (EDs) in the United States for quality measurement, improvement, and reporting purposes. This article aims to provide an overview of the data collection and validation process, describe the existing data structure and elements, and explain the potential opportunities and limitations for ongoing and future research use. CEDR data are primarily collected for quality reporting purposes and are obtained from diverse sources, including electronic health records and billing data that are de-identified and stored in a secure, centralized database. The CEDR data structure is organized around clinical episodes, which contain multiple data elements that are standardized using common data elements and are mapped to established terminologies to enable interoperability and data sharing. The data elements include patient demographics, clinical characteristics, diagnostic and treatment procedures, and outcomes. Key limitations include the limited generalizability due to the selective nature of participating EDs and the limited validation and completeness of data elements not currently used for quality reporting purposes, including demographic data. Nonetheless, CEDR holds great potential for ongoing and future research in emergency medicine due to its large-volume, longitudinal, near real-time, clinical data. In 2021, the American College of Emergency Physicians authorized the transition from CEDR to the Emergency Medicine Data Institute, which will catalyze investments in improved data quality and completeness for research to advance emergency care.

Scaling the EQUIPPED medication safety program: Traditional and hub-and-spoke implementation models.

BACKGROUND: The EQUIPPED (Enhancing Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department) medication safety program is an evidence-informed quality improvement initiative to reduce potentially inappropriate medications (PIMs) prescribed by Emergency Department (ED) providers to adults aged 65 and older at discharge. We aimed to scale-up this successful program using (1) a traditional implementation model at an ED with a novel electronic medical record and (2) a new hub-and-spoke implementation model at three new EDs within a health system that had previously implemented EQUIPPED (hub). We hypothesized that implementation speed would increase under the hub-and-spoke model without cost to PIM reduction or site engagement. METHODS: We evaluated the effect of the EQUIPPED program on PIMs for each ED, comparing their 12-month baseline to 12-month post-implementation period prescribing data, number of months to implement EQUIPPED, and facilitators and barriers to implementation. RESULTS: The proportion of PIMs at all four sites declined significantly from pre- to post-EQUIPPED: at traditional site 1 from 8.9% (8.1-9.6) to 3.6% (3.6-9.6) (p < 0.001); at spread site 1 from 12.2% (11.2-13.2) to 7.1% (6.1-8.1) (p < 0.001); at spread site 2 from 11.3% (10.1-12.6) to 7.9% (6.4-8.8) (p = 0.045); and at spread site 3 from 16.2% (14.9-17.4) to 11.7% (10.3-13.0) (p < 0.001). Time to implement was equivalent at all sites across both models. Interview data, reflecting a wide scope of responsibilities for the champion at the traditional site and a narrow scope at the spoke sites, indicated disproportionate barriers to engagement at the spoke sites. CONCLUSIONS: EQUIPPED was successfully implemented under both implementation models at four new sites during the COVID-19 pandemic, indicating the feasibility of adapting EQUIPPED to complex, real-world conditions. The hub-and-spoke model offers an effective way to scale-up EQUIPPED though a speed or quality advantage could not be shown.

A Systematic Approach to the Design and Implementation of Clinical Informatics Fellowship Programs.

Clinical Informatics (CI), a medical subspecialty since 2011, has grown from the initial four fellowship programs accredited by the Accreditation Council for Graduate Medical Education (ACGME) in 2014 to more than 50 and counting in the present day. In parallel, the literature guiding Clinical Informatics Fellowship training and the curriculum evolved from the original core content published in 2009 to the more recent CI Subspecialty Delineation of Practice and the updated ACGME Milestones 2.0 for CI. In this paper, we outline this evolution and its impact on CIF Curricula. We then propose a framework, specific processes, and tools to standardize the design and optimize the implementation of CIF programs.

Electronic Health Record Messaging Patterns of Health Care Professionals in Inpatient Medicine.

This cross-sectional study examines secure messaging patterns among health care professionals in the internal medicine inpatient setting.

Incidence of rescue surgical airways after attempted orotracheal intubation in the emergency department: A National Emergency Airway Registry (NEAR) Study.

BACKGROUND: Cricothyrotomy is a critical technique for rescue of the failed airway in the emergency department (ED). Since the adoption of video laryngoscopy, the incidence of rescue surgical airways (those performed after at least one unsuccessful orotracheal or nasotracheal intubation attempt), and the circumstances where they are attempted, has not been characterized. OBJECTIVE: We report the incidence and indications for rescue surgical airways using a multicenter observational registry. METHODS: We performed a retrospective analysis of rescue surgical airways in subjects ≥14 years of age. We describe patient, clinician, airway management, and outcome variables. RESULTS: Of 19,071 subjects in NEAR, 17,720 (92.9%) were ≥14 years old with at least one initial orotracheal or nasotracheal intubation attempt, 49 received a rescue surgical airway attempt, an incidence of 2.8 cases per 1000 (0.28% [95% confidence interval 0.21 to 0.37]). The median number of airway attempts prior to rescue surgical airways was 2 (interquartile range 1, 2). Twenty-five were in trauma victims (51.0% [36.5 to 65.4]), with neck trauma being the most common traumatic indication (n = 7, 14.3% [6.4 to 27.9]). CONCLUSION: Rescue surgical airways occurred infrequently in the ED (0.28% [0.21 to 0.37]), with approximately half performed due to a trauma indication. These results may have implications for surgical airway skill acquisition, maintenance, and experience.

Patient portal access for caregivers of adult and geriatric patients: reframing the ethics of digital patient communication.

Patient portals are poised to transform health communication by empowering patients with rapid access to their own health data. The 21st Century Cures Act is a US federal law that, among other provisions, prevents health entities from engaging in practices that disrupt the exchange of electronic health information-a measure that may increase the usage of patient health portals. Caregiver access to patient portals, however, may lead to breaches in patient privacy and confidentiality if not managed properly through proxy accounts. We present an ethical framework that guides policy and clinical workflow development for healthcare institutions to support the best use of patient portals. Caregivers are vital members of the care team and should be supported through novel forms of health information technology (IT). Patients, however, may not want all information to be shared with their proxies so healthcare institutions must support the development and use of separate proxy accounts as opposed to using the patient's own account as well provide controls for limiting the scope of information displayed in the proxy accounts. Lastly, as socioeconomic barriers to adoption of health IT persist, healthcare providers must work to ensure multiple streams of patient communication, to prevent further propagating health inequities.

Mpox in the Emergency Department: A Case Series.

Introduction: We sought to describe the demographic characteristics, clinical features, and outcomes of a cohort of patients who presented to our emergency departments with mpox (formerly known as monkeypox) infection between May 1-August 1, 2022. Case Series: We identified 145 patients tested for mpox, of whom 79 were positive. All positive cases were among cisgender men, and the majority (92%) were among men who have sex with men. A large number of patients (39%) were human immunodeficiency virus (HIV) positive. There was wide variation in emergency department (ED) length of stay (range 2-16 hours, median 4 hours) and test turnaround time (range 1-11 days, median 4 days). Most patients (95%) were discharged, although a substantial proportion (22%) had a return visit within 30 days, and 28% ultimately received tecrovirimat. Conclusion: Patients who presented to our ED with mpox had similar demographic characteristics and clinical features as those described in other clinical settings during the 2022 outbreak. While there were operational challenges to the evaluation and management of these patients, demonstrated by variable lengths of stay and frequent return visits, most were able to be discharged.

Early Rooming Triage: Accuracy and Demographic Factors Associated with Clinical Acuity.

INTRODUCTION: Early rooming triage increases patient throughput and satisfaction by rapidly assigning patients to a definitive care area, without using vital signs or detailed chart review. Despite these operational benefits, the clinical accuracy of early rooming triage is not well known. We sought to measure the accuracy of early rooming triage and uncover additional patient characteristics that can assist triage. METHODS: We conducted a single-center, retrospective population study of walk-in emergency department (ED) patients presenting to the ED via an early rooming triage system, examining triage accuracy and demographic factor correlation with higher acuity ED outcomes. RESULTS: Among all patients included from the three-year study period (N = 238,457), early rooming triage was highly sensitive (0.89) and less specific (0.61) for predicting which patients would have a severe outcome in the ED. Patients triaged to the lowest acuity area of the ED experienced severe outcomes in 4.39% of cases, while patients triaged to the highest acuity area of the ED experienced severe outcomes in 65.9% of cases. An age of greater than 43 years (odds ratio [OR] 3.48, 95% confidence interval: 3.40, 3.57) or patient's home address farther from the ED ([OR] 2.23 to 3.08) were highly correlated with severe outcomes. Multivariable models incorporating triage team judgment were robust for predicting severe outcomes at triage, with an area under the receiver operating characteristic of 0.82. CONCLUSION: Early rooming workflows are appropriately sensitive for ED triage. Consideration of demographic factors, automated or otherwise, can augment ED processes to provide optimal triage.

Differences in antibiotic prescribing rates for telemedicine encounters for acute respiratory infections.

INTRODUCTION: Health systems are increasingly implementing direct-to-consumer telemedicine for unscheduled acute care, however quality of care may be variable. Acute respiratory infection antibiotic prescribing rates in telemedicine visits performed by emergency physicians affiliated with medical centers has not been compared to care by unaffiliated, vendor-supplied physicians (a heterogeneous group). We hypothesized that, in virtual visits for acute respiratory infection, affiliated physicians would prescribe antibiotics at a lower rate than unaffiliated physicians. METHODS: We performed a retrospective analysis of on-demand telemedicine visits available to health system employees and dependents at a large urban academic health system from March 2018 to July 2019. We performed multivariable logistic regression to determine the effect of physician affiliation on antibiotic prescribing patterns for acute respiratory infection, adjusting for patient age, visit weekday, and overnight visits. RESULTS: Of 257 telemedicine encounters related to acute respiratory infection, affiliated physicians prescribed antibiotics in 18% of visits, compared to 37% of visits by vendor physicians. In multivariable analysis, patients seen by a vendor physician for acute respiratory infection had 2.3 higher odds (95%CI 1.1-4.5, p < 0.01) of being prescribed antibiotics, an average marginal effect of 15% (95%CI 2-29%). DISCUSSION: In this study of virtual visits for unscheduled acute care in a single health system, vendor-supplied physicians were predicted to prescribe an antibiotic in 15% more acute respiratory infection visits compared to system-employed emergency physicians (35% vs 19%). Physician affiliation and familiarity with a health system, in addition to other factors, may be important in guideline adherence and antibiotic stewardship in direct-to-consumer telemedicine encounters.

A Model Curriculum for an Emergency Medicine Residency Rotation in Clinical Informatics.

Audience: This curriculum is designed for emergency medicine residents at all levels of training. The curriculum covers basic foundations in clinical informatics for improving patient care and outcomes, utilizing data, and leading improvements in emergency medicine. Length of Curriculum: The curriculum is designed for a four-week rotation. Introduction: The American College of Graduate Medical Education (ACGME) mandated that all Emergency Medicine (EM) residents receive specific training in the use of information technology.1,2 To our knowledge, a clinical informatics curriculum for EM residents does not exist. We propose the following standardized and reproducible educational curriculum for EM residents. Educational Goals: The aim of this curriculum is to teach informatics skills to emergency physicians to improve patient care and outcomes, utilize data, and develop projects to lead change.3 These goals will be achieved by providing a foundational informatics elective for EM residents that follows the delineation of practice for Clinical Informatics outlined by the American Medical Informatics Association (AMIA) and the American Board of Preventive Medicine (ABPM).4-6. Educational Methods: The educational strategies used in this curriculum include asynchronous learning via books, papers, videos, and websites. Residents attend administrative sessions (meetings), develop a project proposal, and participate in small group discussions.The rotation emphasizes the basic concepts surrounding clinical informatics with an emphasis on improving care delivery and outcomes, information systems, data governance and analytics, as well as leadership and professionalism. The course focuses on the practical application of these concepts, including implementation, clinical decision support, workflow analysis, privacy and security, information technology across the patient care continuum, health information exchange, data analytics, and leading change through stakeholder engagement. Research Methods: An initial version of the curriculum was introduced to two separate institutions and was completed by three rotating resident physicians and one rotating resident pharmacist. A brief course evaluation as well as qualitative feedback was solicited from elective participants by the course director, via email following the completion of the course, regarding the effectiveness of the course content. Learner feedback was used to influence the development of this complete curriculum. Results: The curriculum was graded by learners on a 5-point Likert scale (1=strongly disagree, 5 = strongly agree). The mean response to, "This course was a valuable use of my elective time," was 5 (sd=0). The mean response to, "I achieved the learning objectives," and "This rotation helped me understand Clinical Informatics," were both 4.75 (sd=0.5). Discussion: Overall, participants reported that the content was effective for achieving the learning objectives. During initial implementation, we found that the preliminary asynchronous learning component worked less effectively than we anticipated due to a lower volume of content. In response to this, as well as resident feedback, we added significantly more educational content.In conclusion, this model curriculum provides a structured process for an informatics rotation for the emergency medicine resident that utilizes the core competencies established by the governing bodies of the clinical informatics specialty and ACGME. Topics: Clinical informatics key concepts, including definitions, fundamental terminology, history, policy and regulations, ethical considerations, clinical decision support, health information systems, data governance and analytics, process improvement, stakeholder engagement and change management.

The 21st Century Cures Act and Emergency Medicine - Part 1: Digitally Sharing Notes and Results.

Among the provisions of the 21st Century Cures Act is the mandate for digital sharing of clinician notes and test results through the patient portal of the clinician's electronic health record system. Although there is considerable evidence of the benefit to clinic patients from open notes and minimal apparent additional burden to primary care clinicians, emergency department (ED) note sharing has not been studied. With easier access to notes and results, ED patients may have an enhanced understanding of their visit, findings, and clinician's medical decisionmaking, which may improve adherence to recommendations. Patients may also seek clarifications and request edits to their notes. EDs can develop workflows to address patient concerns without placing new undue burden on clinicians, helping to realize the benefits of sharing notes and test results digitally.

System Level Informatics to Improve Triage Practices for Sickle Cell Disease Vaso-Occlusive Crisis: A Cluster Randomized Controlled Trial.

BACKGROUND: National Heart Lung and Blood Institute guidelines for the treatment of vaso-occlusive crisis among people with sickle cell disease in the emergency department recommend assigning an emergency severity index of 2 at triage. However, patients with sickle cell disease often do not receive guideline-concordant care at triage. To address this gap, a decision support tool was developed, in the form of a text banner on the triage page in the electronic health record system, visible to triage nurses. METHODS: A prospective quality improvement initiative was designed where the emergency severity index clinical decision support tool was deployed to a stratified random sample of emergency department triage nurses to receive the banner (n = 24) or not to receive the banner (n = 27), reminding them to assign the patient to emergency severity index category 2. The acceptability of the emergency severity index clinical decision support tool was evaluated with the Ottawa Acceptability of Decision Rules Instrument. Descriptive and bivariate (chi-square test) statistics were used to characterize the study's primary outcome, proportion of visits assigned an emergency severity index of 2 or higher. A generalized linear mixed model with clustering at the level of the triage nurse was performed to test the association between the banner intervention and triage practices. RESULTS: A total of 384 ED visits were included for analysis. Before study initiation, the percentage of sickle cell disease patients' visits with the proper emergency severity index assignment at triage was 37.04%. After initiation, the proportion of sickle cell disease patients' visits with an emergency severity index of 2 or higher triaged by nurses in the intervention group was markedly higher in the intervention group than in the control group (64.95% vs 35.05%; χ2 = 8.79, P ≤ .003). Accounting for clustering by nurse, the odds ratio for proper triage emergency severity index assignment was 3.22 (95% confidence interval 1.17-8.85; P ≤ .02) for the intervention versus control. Surveyed triage nurses reported the emergency severity index clinical decision support tool to be moderately acceptable (nurses' mean Ottawa Acceptability of Decision Rules Instrument scores ranged from 4.13 to 4.90 on the 6-point scale; n = 11). There were no differences in ED experience outcomes including time to first analgesic or length of stay between the control and intervention groups. CONCLUSION: Substantial improvements in triage guideline concordance were achieved and sustained without direct nursing education.

SARS-CoV-2 Infection and Associated Rates of Diabetic Ketoacidosis in a New York City Emergency Department.

INTRODUCTION: In early March 2020, coronavirus 2019 (COVID-19) spread rapidly in New York City. Shortly thereafter, in response to the shelter-in-place orders and concern for infection, emergency department (ED) volumes decreased. While a connection between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and hyperglycemia/insulin deficiency is well described, its direct relation to diabetic ketoacidosis (DKA) is not. In this study we describe trends in ED volume and admitted patient diagnoses of DKA among five of our health system's EDs, as they relate to peak SARS-CoV-2 activity in New York City. METHODS: For the five EDs in our hospital system, deidentified visit data extracted for routine quality review was made available for analysis. We looked at total visits and select visit diagnoses related to DKA, across the months of March, April and May 2019, and compared those counts to the same period in 2020. RESULTS: A total of 93,218 visits were recorded across our five EDs from March 1-May 31, 2019. During that period there were 106 diagnoses of DKA made in the EDs (0.114% of visits). Across the same period in 2020 there were 59,009 visits, and 214 diagnoses of DKA (0.363% of visits) CONCLUSION: Despite a decrease in ED volume of 26.9% across our system during this time period, net cases of DKA diagnoses rose drastically by 70.1% compared to the prior year.

Changes in alcohol-related hospital visits during COVID-19 in New York City.

BACKGROUND AND AIMS: Increased alcohol consumption has been proposed as a potential consequence of the coronavirus disease 2019 (COVID-19) pandemic. There has been little scrutiny of alcohol use behaviors resulting in hospital visits, which is essential to guide pandemic public policy. We aimed to determine whether COVID-19 peak restrictions were associated with increased hospital visits for alcohol use or withdrawal. Secondary objectives were to describe differences based on age, sex and race, and to examine alcohol-related complication incidence. DESIGN: Multi-center, retrospective, pre-post study. SETTING: New York City health system with five participating hospitals. PARTICIPANTS: Adult emergency department encounters for alcohol use, alcoholic gastritis or pancreatitis or hepatitis, alcohol withdrawal syndrome, withdrawal seizure or delirium tremens. MEASUREMENTS: Age, sex, race, site and encounter diagnosis. Encounters were compared between 2019 and 2020 for 1 March to 31 May. FINDINGS: There were 2790 alcohol-related visits during the 2019 study period and 1793 in 2020, with a decrease in total hospital visits. Of 4583 alcohol-related visits, median age was 47 years, with 22.3% females. In 2020 there was an increase in percentage of visits for alcohol withdrawal [adjusted odds ratio (aOR) = 1.34, 95% confidence interval (CI) = 1.07-1.67] and withdrawal with complications (aOR = 1.40, 95% CI = 1.14-1.72), and a decline in percentage of hospital visits for alcohol use (aOR = 0.70, 95% CI = 0.59-0.85) and use with complications (aOR = 0.71, 95% CI = 0.58-0.88). It is unknown whether use visit changes mirror declines in other chief complaints. The age groups 18-29 and 60-69 years were associated with increased visits for use and decreased visits for withdrawal, as were non-white race groups. Sex was not associated with alcohol-related visit changes despite male predominance. CONCLUSIONS: In New York City during the initial COVID-19 peak (1 March to 31 May 2020), hospital visits for alcohol withdrawal increased while those for alcohol use decreased.

Improving Communication Between the Emergency Department and Radiology Department With a Novel Web-Based Tool in an Urban Academic Center.

DESCRIPTION OF PROBLEM: Streamlining communication between radiology and referring services is vital to ensure appropriate care with minimal delays. Increased subspecialization has led to compartmentalization of the radiology department with many physicians working in disparate areas. At our hospital, we anecdotally noted that a significant portion of incoming phone calls were misdirected to the wrong workstations. This resulted in wasted time, unnecessary interruptions, and delays in care because the referring clinicians could not efficiently navigate the radiology department staffing structure. Our quality improvement project involved developing a web-based tool allowing the emergency department (ED) to more efficiently contact the appropriate radiology desk and reduce misdirected phone calls. INSTITUTIONAL APPROACH EMPLOYED TO ADDRESS THE PROBLEM: Surveys were sent to radiology residents and ED providers (attendings, residents, physician assistants) to assess how often phone calls were misdirected to the wrong radiology station. Radiology residents were asked which stations received the most misdirected phone calls, and what station the caller was often looking for. ED providers were asked which stations they intended when they were told they called the wrong station, and a series of questions in the survey assessed their knowledge of commonly called radiology station (Plain Film, CT Body, Ultrasound, Neuoradiology, Pediatrics, and Overnight Desk). ED and radiology physicians worked together to design a simple, easily accessed web-based tool that allowed the ED clinicians to determine which station should be called during for each hour of the day, which integrated differences in staffing by radiology throughout the day. After the tool had been implemented for 8 months, surveys were again sent to radiology residents and ED clinicians asking the same questions as before to assess for any significant change in response. Additional questions were added to the ED survey to assess awareness of the new tool. DESCRIPTION OF OUTCOMES IN CHANGE OF PRACTICE: An interactive, easily updated schedule with optimal contact numbers was made available through the ED intranet. The design allowed for easy modification of contact numbers over time to accommodate changes in coverage location or staffing models. Prior to implementation contact information was presented on a static screen, which was unable to be changed and included multiple incorrect and defunct numbers. Additionally, contact defaulted to a general radiology pager, which was carried by a resident only responsible for plain films for most of the day. Numbers included in the new intranet tool were all pertinent reading room stations, all scheduling desks, and all technologist workspaces. Different schedules were provided for weekdays and weekends. Initial survey results showed that prior to the intervention, 74% of radiology residents said they received misdirected phone calls at least twice a day, and 57.9% of ED respondents reached the wrong recipient at least once per day. Frequencies of misdirected calls dropped to 58.4% of radiology residents (P = 0.37) and 17.9% of ED respondents (P < 0.01) on follow-up surveys 8 months after the tool was established. After establishing the new tool, 82.1% of ED respondents were aware of the new intranet contact tool and were using it to contact radiology. On the series of questions assessing ED respondents' knowledge of radiology numbers, over 50% of respondents knew the correct answer or answered using the call sheet after implementation; this resulted in statistically significant increases in accuracy for Body, Neuroradiology, and Pediatric radiology stations. Furthermore, with the exception of ED plain films, there was a statistically significant reduction in number of responses who said the general radiology pager should be called for reads. Fifty percent of radiology residents believed there was a reduction in the number of misdirected phone calls from the ED with this tool. CONCLUSION, LIMITATIONS, AND DESCRIPTIONS OF FUTURE DIRECTIONS: Our tool was successful in accomplishing multiple goals. First, over 80% of ED respondents adopted the new tool. Second, the number of misdirected phone calls based on the subjective perception of ED respondents and radiology residents was reduced. Third, we objectively improved the ED respondents' behavior pattern in contacting the radiology department by either calling the correct number using the call tool, and by reducing the number of respondents who use the pager. Going forward, we hope to be able to expand use of this tool throughout the hospital in order to provide more timely and efficient care with other services by streamlining access between referring services and the appropriate radiology recipients.

Trends in Emergency Department Visits and Hospital Admissions in Health Care Systems in 5 States in the First Months of the COVID-19 Pandemic in the US.

Importance: As coronavirus disease 2019 (COVID-19) spread throughout the US in the early months of 2020, acute care delivery changed to accommodate an influx of patients with a highly contagious infection about which little was known. Objective: To examine trends in emergency department (ED) visits and visits that led to hospitalizations covering a 4-month period leading up to and during the COVID-19 outbreak in the US. Design, Setting, and Participants: This retrospective, observational, cross-sectional study of 24 EDs in 5 large health care systems in Colorado (n = 4), Connecticut (n = 5), Massachusetts (n = 5), New York (n = 5), and North Carolina (n = 5) examined daily ED visit and hospital admission rates from January 1 to April 30, 2020, in relation to national and the 5 states' COVID-19 case counts. Exposures: Time (day) as a continuous variable. Main Outcomes and Measures: Daily counts of ED visits, hospital admissions, and COVID-19 cases. Results: A total of 24 EDs were studied. The annual ED volume before the COVID-19 pandemic ranged from 13 000 to 115 000 visits per year; the decrease in ED visits ranged from 41.5% in Colorado to 63.5% in New York. The weeks with the most rapid rates of decrease in visits were in March 2020, which corresponded with national public health messaging about COVID-19. Hospital admission rates from the ED were stable until new COVID-19 case rates began to increase locally; the largest relative increase in admission rates was 149.0% in New York, followed by 51.7% in Massachusetts, 36.2% in Connecticut, 29.4% in Colorado, and 22.0% in North Carolina. Conclusions and Relevance: From January through April 2020, as the COVID-19 pandemic intensified in the US, temporal associations were observed with a decrease in ED visits and an increase in hospital admission rates in 5 health care systems in 5 states. These findings suggest that practitioners and public health officials should emphasize the importance of visiting the ED during the COVID-19 pandemic for serious symptoms, illnesses, and injuries that cannot be managed in other settings.