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AbstractObjectiveTo determine whether a behavioral intervention delivered through a video game can improve the appropriateness of trauma triage decisions in the emergency department of non-trauma centers.DesignRandomized clinical trial.SettingOnline intervention in national sample of emergency medicine physicians who make triage decisions at US hospitals.Participants368 emergency medicine physicians primarily working at non-trauma centers. A random sample (n=200) of those with primary outcome data was reassessed at six months.InterventionsPhysicians were randomized in a 1:1 ratio to one hour of exposure to an adventure video game (Night Shift) or apps based on traditional didactic education (myATLS and Trauma Life Support MCQ Review), both on iPads. Night Shift was developed to recalibrate the process of using pattern recognition to recognize moderate-severe injuries (representativeness heuristics) through the use of stories to promote behavior change (narrative engagement). Physicians were randomized with a 2×2 factorial design to intervention (game v traditional education apps) and then to the experimental condition under which they completed the outcome assessment tool (low v high cognitive load). Blinding could not be maintained after allocation but group assignment was masked during the analysis phase.Main outcome measuresOutcomes of a virtual simulation that included 10 cases; in four of these the patients had severe injuries. Participants completed the simulation within four weeks of their intervention. Decisions to admit, discharge, or transfer were measured. The proportion of patients under-triaged (patients with severe injuries not transferred to a trauma center) was calculated then (primary outcome) and again six months later, with a different set of cases (primary outcome of follow-up study). The secondary outcome was effect of cognitive load on under-triage.Results149 (81%) physicians in the game arm and 148 (80%) in the traditional education arm completed the trial. Of these, 64/100 (64%) and 58/100 (58%), respectively, completed reassessment at six months. The mean age was 40 (SD 8.9), 283 (96%) were trained in emergency medicine, and 207 (70%) were ATLS (advanced trauma life support) certified. Physicians exposed to the game under-triaged fewer severely injured patients than those exposed to didactic education (316/596 (0.53) v 377/592 (0.64), estimated difference 0.11, 95% confidence interval 0.05 to 0.16; P<0.001). Cognitive load did not influence under-triage (161/308 (0.53) v 155/288 (0.54) in the game arm; 197/300 (0.66) v 180/292 (0.62) in the traditional educational apps arm; P=0.66). At six months, physicians exposed to the game remained less likely to under-triage patients (146/256 (0.57) v 172/232 (0.74), estimated difference 0.17, 0.09 to 0.25; P<0.001). No physician reported side effects. The sample might not reflect all emergency medicine physicians, and a small set of cases was used to assess performance.ConclusionsCompared with apps based on traditional didactic education, exposure of physicians to a theoretically grounded video game improved triage decision making in a validated virtual simulation. Though the observed effect was large, the wide confidence intervals include the possibility of a small benefit, and the real world efficacy of this intervention remains uncertain.Trial registrationclinicaltrials.gov; NCT02857348 (initial study)/NCT03138304 (follow-up).

Background Traumatic brain injury (TBI) is a major cause of death and disability worldwide. The decision-making process in the management of severe TBI must be based on the best available evidence to minimize the occurrence of secondary brain injuries. However, healthcare approaches to managing TBI patients exhibit considerable variation. Methods Over an 18-month period, a multidisciplinary panel consisting of medical doctors, physiotherapists, nutritional therapists, and nurses performed a comprehensive review on various subtopics concerning TBI. The panel identified primary questions to be addressed using the Population, Intervention, Control, and Outcome (PICO) format and applied the Evidence to Decision (EtD) framework criteria for evaluating interventions. Subsequently, the panel formulated recommendations for the management of severe TBI in children. Results Fourteen evidence-based recommendations have been devised for the management of severe TBI in children, covering nine topics, including imaging studies, neuromonitoring, prophylactic anticonvulsant use, hyperosmolar therapy, sedation and analgesia, mechanical ventilation strategies, nutritional therapy, blood transfusion, and decompressive craniectomy. For each topic, the panel provided clinical recommendations and identified research priorities. Conclusions This review offers evidence-based strategies aimed to guide practitioners in the care of children who suffer from severe TBI.

The objectives of this study were to evaluate emergency medicine resident-performed ultrasound for diagnosis of effusions, compare the success of a landmark-guided (LM) approach with an ultrasound-guided (US) technique for hip, ankle and wrist arthrocentesis, and compare change in provider confidence with LM and US arthrocentesis. After a brief video on LM and US arthrocentesis, residents were asked to identify artificially created effusions in the hip, ankle and wrist in a cadaver model and to perform US and LM arthrocentesis of the effusions. Outcomes included success of joint aspiration, time to aspiration, and number of attempts. Residents were surveyed regarding their confidence in identifying effusions with ultrasound and performing LM and US arthrocentesis. Eighteen residents completed the study. Sensitivity of ultrasound for detecting joint effusion was 86% and specificity was 90%. Residents were successful with ultrasound in 96% of attempts and with landmark 89% of attempts (p=0.257). Median number of attempts was 1 with ultrasound and 2 with landmarks (p=0.12). Median time to success with ultrasound was 38s and 51s with landmarks (p=0.23). After the session, confidence in both US and LM arthrocentesis improved significantly, however the post intervention confidence in US arthrocentesis was higher than LM (4.3 vs. 3.8, p<0.001). EM residents were able to successfully identify joint effusions with ultrasound, however we were unable to detect significant differences in actual procedural success between the two modalities. Further studies are needed to define the role of ultrasound for arthrocentesis in the emergency department.

Background Simulation-based medical education (SBME) is a cornerstone for procedural skill training in residency education. Multiple studies have concluded that SBME is highly effective, superior to traditional clinical education, and translates to improved patient outcomes. Additionally it is widely accepted that mastery learning, which comprises deliberate practice, is essential for expert level performance for routine skills; however, given that highly structured practice is more time and resource-intensive, it is important to assess its value for the acquisition of rarely performed technical skills. The bougie-assisted cricothyroidotomy (BAC), a rarely performed, lifesaving procedure, is an ideal skill for evaluating the utility of highly structured practice as it is relevant across many acute care specialties and rare – making it unlikely for learners to have had significant previous training or clinical experience. The purpose of this study is to compare a modified mastery learning approach with deliberate practice versus self-guided practice on technical skill performance using a bougie-assisted cricothyroidotomy model. Methods A multi-centre, randomized study will be conducted at four Canadian and one American residency programs with 160 residents assigned to either mastery learning and deliberate practice (ML + DP), or self-guided practice for BAC. Skill performance, using a global rating scale, will be assessed before, immediately after practice, and 6 months later. The two groups will be compared to assess whether the type of practice impacts performance and skill retention. Discussion Mastery learning coupled with deliberate practice provides systematic and focused feedback during skill acquisition. However, it is resource-intensive and its efficacy is not fully defined. This multi-centre study will provide generalizable data about the utility of highly structured practice for technical skill acquisition of a rare, lifesaving procedure within postgraduate medical education. Study findings will guide educators in the selection of an optimal training strategy, addressing both short and long term performance.

[...]these concepts have been set aside by CAEP.The coordination of patient care across multiple healthcare venues and providers Health care promotion and injury prevention Leadership and administration: leading interdisciplinary patient care teams, medical management, policies & procedures, emergency equipment & design, physician staffing, budgets Medical systems Within the emergency department: including patient triage, throughput and discharge External to the emergency department: including but not limited to pre-hospital transport & care and disaster planning & management Teaching relevant emergency medicine skills, knowledge and attitudes to other physician and non-physician health care providers Generation of emergency medicine knowledge through research and knowledge translation Patient safety and quality improvement related to emergency medicine CAEP Definition of an Emergency Physician An emergency physician is a physician who is engaged in the practice of emergency medicine and demonstrates the specific set of required competencies that define this field of medical practice.The Royal College of Physicians & Surgeons of Canada The College of Family Physicians of Canada (Emergency Physicians with equivalent non-Canadian training and certification are also recognized in Canada eg The American Board of Emergency Medicine) CAEP Statement on the Importance of Emergency Medicine Certification in Canada It is CAEP’s vision, that by 2020 all emergency physicians in Canada will be certified in emergency medicine by a recognized certifying body.* Toward that vision, provincial governments and Faculties of Medicine must urgently allocate resources to increase the numbers of emergency medicine postgraduate positions in recognized training programs so the Colleges are able to address the gap in human resources and training.CAEP recognizes that the Royal College of Physicians and Surgeons of Canada (Royal College) residency program is the single training program in Canada designed to produce designated specialists in emergency medicine.* Specialist designation by the Royal College of Physicians & Surgeons of Canada is only obtainable through successful completion of one of following: a RCPSC-accredited specialty residency training program OR specialty emergency medicine training by a program acceptable to the RCPSC and a period of appropriate emergency medicine practice at a high level as determined by a formalized RCPSC practice assessment and certification process CAEP Board of Directors Jill McEwen, MD, FRCPC, Department of Emergency Medicine, CAEP President & corresponding author, University of British Columbia, Vancouver General Hospital, Vancouver, BC; Stéphane Borreman, MD, CCFP(EM), CAEP AMUQ Representative, Department of Emergency Medicine, McGill University Health Center, Montreal, QC Jaelyn Caudle, MD, FRCPC, Department of Emergency Medicine, Queen’s University, Kingston General Hospital, Kingston, ON* Tom Chan, MD, CCFP(EM), Division of Emergency Medicine, University of Toronto, Toronto, ON Alecs Chochinov, MD, FRCPC, Department of Emergency Medicine, University of Manitoba, Winnipeg Regional Health Authority, Winnipeg, MB Jim Christenson, MD, FRCPC, Department of Emergency Medicine, University of British Columbia, St. Paul’s Hospital, Vancouver, BC; Tom Currie, MD, CCFP(EM), Department of Emergency Medicine, Dalhousie University, Cape Breton Regional Hospital, Sydney, NS* Benjamin Fuller, BSc, MD, MCFP,CCFP(EM), FCFP, CCPE, Division of Emergency Medicine, University of Toronto and Queens University, Lakeridge Health Oshawa, Ontario Michael Howlett, MD, CCFP(EM), Department of Emergency Medicine, Dalhousie University, Saint John Regional Hospital, Saint John, NB Josh Koczerginski, MD, Chair, CAEP Resident Section, Department of Emergency Medicine, University of British Columbia, Vancouver, BC Martin Kuuskne, MD, Past-Chair, CAEP Resident Section, Department of Emergency Medicine, McGill University, Montreal, QC* Rodrick Lim, MD, FRCPC, Chair, CAEP Pediatric Section, Department of Paediatrics/Division of Emergency Medicine, Schulich School of Medicine & Dentistry, Western University, Children's Hospital at London Health Sciences Centre, London, ON Bruce McLeod, MD, FRCPC, CAEP Past-President, Department of Emergency Medicine, Valley Regional Hospital, Kentville, NS Paul Pageau, MD, CCFP(EM), CAEP President-Elect, Department of Emergency Medicine, University of Ottawa, The Ottawa Hospital, Ottawa, ON Chryssi Paraskevopoulos, MD, CCFP(EM), Department of Emergency Medicine, McGill University, St. Mary’s Hospital Centre, Montreal, QC Rebeccah Rosenblum, MD, FRCPC, Department of Emergency Medicine, University of Alberta, Royal Alexandra Hospital, Edmonton, AB Ian Stiell, MD, FRCPC, ABEM, Chair, CAEP Academic Section, Department of Emergency Medicine, University of Ottawa, Ottawa Civic Hospital, Ottawa, ON *Past (2014-15) CAEP BoardREFERENCES 1.

Misdiagnosis in acute dyspneic patients (ADP) has consequences on their outcome. Lung ultrasound (LUS) is an accurate tool to improve diagnostic performance. The main goal of this study was to assess the determinants of increased diagnostic accuracy using LUS. Multicentre, prospective, randomized study including emergency physicians and critical care physicians treating ADP on a daily basis. Each participant received three difficult clinical cases of ADP: one with only clinical data (OCD), one with only LUS data (OLD), and one with both. Ultrasound video loops of A, B and C profiles were associated with the cases. Which physician received what data for which clinical case was randomized. Physicians assessed the diagnostic probability from 0 to 10 for each possible diagnosis. The number of uncertain diagnoses (NUD) was the number of diagnoses with a diagnostic probability between 3 and 7, inclusive. Seventy-six physicians responded to the study cases (228 clinical cases resolved). Among the respondents, 28 (37%) were female, 64 (84%) were EPs, and the mean age was 37±8 years. The mean NUDs, respectively, when physicians had OCD, OLD, and both were 2.9±1.8, 2.2±1.7, 2.2±1.8 (p = 0.02). Ultrasound data and ultrasound frequency of use were the only variables related to the NUD. Higher frequency of ultrasound use by physicians decreased the number of uncertain diagnoses in difficult clinical cases with ultrasound data (OLD or associated with clinical data). LUS decreases the NUD in ADP. The ultrasound frequency of use decreased the NUD in ADP clinical cases with LUS data.

Feedback, particularly real-time feedback, is critical to resident education. The emergency medicine (EM) milestones were developed in 2012 to enhance resident assessment, and many programs use them to provide focused resident feedback. The purpose of this study was to evaluate EM residents' level of interest in receiving real-time feedback on each of the 23 competencies/sub-competencies. This was a multicenter cross-sectional study of EM residents. We surveyed participants on their level of interest in receiving real-time on-shift feedback on each of the 23 competencies/sub-competencies. Anonymous paper or computerized surveys were distributed to residents at three four-year training programs and three three-year training programs with a total of 223 resident respondents. Residents rated their level of interest in each milestone on a six-point Likert-type response scale. We calculated average level of interest for each of the 23 sub-competencies, for all 223 respondents and separately by postgraduate year (PGY) levels of training. One-way analyses of variance were performed to determine if there were differences in ratings by level of training. The overall survey response rate across all institutions was 82%. Emergency stabilization had the highest mean rating (5.47/6), while technology had the lowest rating (3.24/6). However, we observed no differences between levels of training on any of the 23 competencies/sub-competencies. Residents seem to ascribe much more value in receiving feedback on domains involving high-risk, challenging procedural skills as compared to low-risk technical and communication skills. Further studies are necessary to determine whether residents' perceived importance of competencies/sub-competencies needs to be considered when developing an assessment or feedback program based on these 23 EM competencies/sub-competencies.

Large language models (LLMs) have demonstrated impressive performances in various medical domains, prompting an exploration of their potential utility within the high-demand setting of emergency department (ED) triage. This study evaluated the triage proficiency of different LLMs and ChatGPT, an LLM-based chatbot, compared to professionally trained ED staff and untrained personnel. We further explored whether LLM responses could guide untrained staff in effective triage. This study aimed to assess the efficacy of LLMs and the associated product ChatGPT in ED triage compared to personnel of varying training status and to investigate if the models' responses can enhance the triage proficiency of untrained personnel. A total of 124 anonymized case vignettes were triaged by untrained doctors; different versions of currently available LLMs; ChatGPT; and professionally trained raters, who subsequently agreed on a consensus set according to the Manchester Triage System (MTS). The prototypical vignettes were adapted from cases at a tertiary ED in Germany. The main outcome was the level of agreement between raters' MTS level assignments, measured via quadratic-weighted Cohen κ. The extent of over- and undertriage was also determined. Notably, instances of ChatGPT were prompted using zero-shot approaches without extensive background information on the MTS. The tested LLMs included raw GPT-4, Llama 3 70B, Gemini 1.5, and Mixtral 8x7b. GPT-4-based ChatGPT and untrained doctors showed substantial agreement with the consensus triage of professional raters (κ=mean 0.67, SD 0.037 and κ=mean 0.68, SD 0.056, respectively), significantly exceeding the performance of GPT-3.5-based ChatGPT (κ=mean 0.54, SD 0.024; P<.001). When untrained doctors used this LLM for second-opinion triage, there was a slight but statistically insignificant performance increase (κ=mean 0.70, SD 0.047; P=.97). Other tested LLMs performed similar to or worse than GPT-4-based ChatGPT or showed odd triaging behavior with the used parameters. LLMs and ChatGPT models tended toward overtriage, whereas untrained doctors undertriaged. While LLMs and the LLM-based product ChatGPT do not yet match professionally trained raters, their best models' triage proficiency equals that of untrained ED doctors. In its current form, LLMs or ChatGPT thus did not demonstrate gold-standard performance in ED triage and, in the setting of this study, failed to significantly improve untrained doctors' triage when used as decision support. Notable performance enhancements in newer LLM versions over older ones hint at future improvements with further technological development and specific training.

ObjectivesPatient flow and crowding are two major issues in ED service improvement. A substantial amount of literature exists on the interventions to improve patient flow and crowding, making it difficult for policymakers, managers and clinicians to be familiar with all the available literature and identify which interventions are supported by the evidence. This umbrella review provides a comprehensive analysis of the evidence from existing quantitative systematic reviews on the interventions that improve patient flow in EDs.MethodsAn umbrella review of systematic reviews published between 2000 and 2017 was undertaken. Included studies were systematic reviews and meta-analyses of quantitative primary studies assessing an intervention that aimed to improve ED throughput.ResultsThe search strategy yielded 623 articles of which 13 were included in the umbrella review. The publication dates of the systematic reviews ranged from 2006 to 2016. The 13 systematic reviews evaluated 26 interventions: full capacity protocols, computerised provider order entry, scribes, streaming, fast track and triage. Interventions with similar characteristics were grouped together to produce the following categories: diagnostic services, assessment/short stay units, nurse-directed interventions, physician-directed interventions, administrative/organisational and miscellaneous. The statistical evidence from 14 primary randomised controlled trials (RCTs) was evaluated to determine if correlation or clustering of observations was considered. Only the fast track intervention had moderate evidence to support its use but the RCTs that assessed the intervention did not use statistical tests that considered correlation.ConclusionsOverall, the evidence supporting the interventions to improve patient flow is weak. Only the fast track intervention had moderate evidence to support its use but correlation/clustering was not taken into consideration in the RCTs examining the intervention. Failure to consider the correlation of the data in the primary studies could result in erroneous conclusions of effectiveness.

ObjectivesQuality and safety of emergency care is critical. Patients rely on emergency medicine (EM) for accessible, timely and high-quality care in addition to providing a ‘safety-net’ function. Demand is increasing, creating resource challenges in all settings. Where EM is well established, this is recognised through the implementation of quality standards and staff training for patient safety. In settings where EM is developing, immense system and patient pressures exist, thereby necessitating the availability of tiered standards appropriate to the local context.MethodsThe original quality framework arose from expert consensus at the International Federation of Emergency Medicine (IFEM) Symposium for Quality and Safety in Emergency Care (UK, 2011). The IFEM Quality and Safety Special Interest Group members have subsequently refined it to achieve a consensus in 2018.ResultsPatients should expect EDs to provide effective acute care. To do this, trained emergency personnel should make patient-centred, timely and expert decisions to provide care, supported by systems, processes, diagnostics, appropriate equipment and facilities. Enablers to high-quality care include appropriate staff, access to care (including financial), coordinated emergency care through the whole patient journey and monitoring of outcomes. Crowding directly impacts on patient quality of care, morbidity and mortality. Quality indicators should be pragmatic, measurable and prioritised as components of an improvement strategy which should be developed, tailored and implemented in each setting.ConclusionEDs globally have a remit to deliver the best care possible. IFEM has defined and updated an international consensus framework for quality and safety.