Quality improvement in the era of boarding and burnout: A postpandemic blueprint.

The COVID-19 pandemic led to unprecedented challenges to healthcare quality in the emergency department, including directly impacting quality metrics and worsening barriers to the quality improvement process such as burnout, staff turnover, and boarding. We aimed to develop a blueprint for postpandemic quality improvement to address these specific barriers, focused on prioritizing frontline staff engagement from idea generation to implementation and assessment. Drawing from teamwork literature, we constructed a process that emphasized egalitarian conversations, psychological safety, and creating an environment where staff could feel heard at every step of the process. We applied this blueprint to improving rates of patients who leave without being seen and achieved a four percentage point reduction (9% vs. 5%, p < 0.001), with high rates of staff satisfaction with the process. We conclude that while postpandemic quality improvement presents significant challenges, we can rise to meet those challenges by adapting existing quality improvement processes to increase frontline staff engagement.

Major Trauma Triage Tool Study (MATTS) expert consensus-derived injury assessment tool.

Introduction: Major trauma centre (MTC) care has been associated with improved outcomes for injured patients. English ambulance services and trauma networks currently use a range of triage tools to select patients for bypass to MTCs. A standardised national triage tool may improve triage accuracy, cost-effectiveness and the reproducibility of decision-making. Methods: We conducted an expert consensus process to derive and develop a major trauma triage tool for use in English trauma networks. A web-based Delphi survey was conducted to identify and confirm candidate triage tool predictors of major trauma. Facilitated roundtable consensus meetings were convened to confirm the proposed triage tool's purpose, target diagnostic threshold, scope, intended population and structure, as well as the individual triage tool predictors and cut points. Public and patient involvement (PPI) focus groups were held to ensure triage tool acceptability to service users. Results: The Delphi survey reached consensus on nine triage variables in two domains, from 109 candidate variables after three rounds. Following a review of the relevant evidence during the consensus meetings, iterative rounds of discussion achieved consensus on the following aspects of the triage tool: reference standard, scope, target diagnostic accuracy and intended population. A three-step tool comprising physiology, anatomical injury and clinical judgement domains, with triage variables assessed in parallel, was recommended. The triage tool was received favourably by PPI focus groups. Conclusions: This paper presents a new expert consensus derived major trauma triage tool with defined purpose, scope, intended population, structure, constituent variables, variable definitions and thresholds. Prospective evaluation is required to determine clinical and cost-effectiveness, acceptability and usability.

ChatGPT With GPT-4 Outperforms Emergency Department Physicians in Diagnostic Accuracy: Retrospective Analysis.

BACKGROUND: OpenAI's ChatGPT is a pioneering artificial intelligence (AI) in the field of natural language processing, and it holds significant potential in medicine for providing treatment advice. Additionally, recent studies have demonstrated promising results using ChatGPT for emergency medicine triage. However, its diagnostic accuracy in the emergency department (ED) has not yet been evaluated. OBJECTIVE: This study compares the diagnostic accuracy of ChatGPT with GPT-3.5 and GPT-4 and primary treating resident physicians in an ED setting. METHODS: Among 100 adults admitted to our ED in January 2023 with internal medicine issues, the diagnostic accuracy was assessed by comparing the diagnoses made by ED resident physicians and those made by ChatGPT with GPT-3.5 or GPT-4 against the final hospital discharge diagnosis, using a point system for grading accuracy. RESULTS: The study enrolled 100 patients with a median age of 72 (IQR 58.5-82.0) years who were admitted to our internal medicine ED primarily for cardiovascular, endocrine, gastrointestinal, or infectious diseases. GPT-4 outperformed both GPT-3.5 (P<.001) and ED resident physicians (P=.01) in diagnostic accuracy for internal medicine emergencies. Furthermore, across various disease subgroups, GPT-4 consistently outperformed GPT-3.5 and resident physicians. It demonstrated significant superiority in cardiovascular (GPT-4 vs ED physicians: P=.03) and endocrine or gastrointestinal diseases (GPT-4 vs GPT-3.5: P=.01). However, in other categories, the differences were not statistically significant. CONCLUSIONS: In this study, which compared the diagnostic accuracy of GPT-3.5, GPT-4, and ED resident physicians against a discharge diagnosis gold standard, GPT-4 outperformed both the resident physicians and its predecessor, GPT-3.5. Despite the retrospective design of the study and its limited sample size, the results underscore the potential of AI as a supportive diagnostic tool in ED settings.

Operation Allies Welcome Medical Response Unit at Philadelphia International Airport: A Framework for Medical Triage of High Volume of Displaced Persons Arriving by Air.

In the aftermath of the US withdrawal from Afghanistan, over 100,000 individuals were evacuated to the United States, primarily arriving through Philadelphia International Airport and Dulles International Airport under Operation Allies Welcome. In Philadelphia, evacuees were greeted at the airport by a medical triage unit (MTU) that was rapidly assembled to provide on-site medical care. The MTU triaged emergent medical complaints, handled minor complaints on-site to reduce impact on local health care systems, distributed patients who did require a higher level of care among area hospitals, and ensured appropriate follow-up care for individuals with ongoing needs. Although there are regional and federal entities whose purview is the establishment and coordination of such responses, these entities were not mobilized to respond immediately when planes began to arrive carrying the first wave of evacuees as this event was not a designated disaster. The MTU was a grassroots effort initiated by local health care providers in coordination with the local Medical Reserve Corps and Department of Public Health. This article presents a framework for similar operations, anticipating an ongoing need for planning for sudden arrivals of large numbers of displaced persons, particularly via air travel, in a time of increasing mass displacement events, as well as a rationale for establishing more robust networks of local medical professionals willing to respond in the case of an emergency and involving them in the emergency planning processes to ensure preexisting protocols are practical.

Unlocking the biochemical secrets of longevity: balancing healthspan and lifespan.

In an era of rising global life expectancies, research focuses on enhancing the quality of extended years. This review examines the link between mitochondrial function and aging, highlighting the importance of healthspan alongside lifespan. This involves significant human and economic challenges, with longer lifespans often accompanied by reduced well-being. Addressing mitochondrial decline, exploring targeted interventions, and understanding the complexities of research models are vital for advancing our knowledge in this field. Additionally, promoting physical exercise and adopting personalized supplementation strategies based on individual needs can contribute to healthy aging. The insights from this Perspective article offer a hopeful outlook for future advances in extending both lifespan and healthspan, aiming to improve the overall quality of life in aging populations.

Vital Signs as Predictors of Oxygen Requirements in COVID-19 Outpatients: The Development of a Streamlined Risk Score.

BACKGROUND: With COVID-19 becoming a common disease, primary care facilities such as clinics are required to efficiently triage patients at high risk of severe illness within the constraints of limited medical resources. However, existing COVID-19 severity risk scores require detailed medical history assessments, such as evaluating the severity of pneumonia via chest CT and accounting for past and comorbid conditions. Therefore, they may not be suitable for practical use in clinical settings with limited medical resources, including personnel and equipment. PURPOSE:  The goal is to identify key variables that predict the need for oxygen therapy in COVID-19 patients and develop a simplified clinical risk score based solely on vital signs to predict oxygen requirements. PATIENTS AND METHODS: A retrospective observational study of 584 outpatients with COVID-19 confirmed by polymerase chain reaction test visited Sasebo Chuo Hospital between April 28, 2022, and August 18, 2022. Analyses were conducted after adjustment for background factors of age and sex with propensity score matching. We used the Fisher test for nominal variables and the Kruskal-Wallis test for continuous variables. RESULTS: After adjusting for age and sex, several factors significantly correlated with the need for oxygen within seven days including body temperature (p < 0.001), respiratory rate (p = 0.007), SpO2 (p < 0.001), and the detection of pneumonia on CT scans (p = 0.032). The area under the receiver-operating characteristic curve for the risk score based on these vital signs and CT was 0.947 (95% confidence interval: 0.911-0.982). The risk score based solely on vital signs was 0.937 (0.900-0.974), demonstrating the ability to predict oxygen administration with no significant differences. CONCLUSIONS: Body temperature, advanced age, increased respiratory rate, decreased SpO2, and the presence of pneumonia on CT scans were significant predictors of oxygen need within seven days among the study participants. The risk score, based solely on vital signs, effectively and simply assesses the likelihood of requiring oxygen therapy within seven days with high accuracy. The risk score, which utilizes only age and vital signs and does not require a detailed patient history or CT scans, could streamline hospital referral processes for admissions.

Repurposing surgical wards in pandemics - An appraisal of outcomes of COVID-19 patients treated in Orthopaedic wards.

Background: The COVID-19 pandemic resulted in a shift in the way healthcare resources were used. While India faced limited effects in the first COVID wave primarily due to strict lockdown of the county, it was one of the worst affected in the second wave and at one time reported the highest number of daily cases. To address the lack of intensive care units (ICU) beds, the surgical wards of our institute were repurposed to take care of patients requiring supplementary oxygen and other supportive care till either they improved or an ICU bed was available. The medical personnel in charge of the surgical wards were entrusted with the care of patients with support from intensive care support teams (ICST). Aims: We aimed to examine the clinical details of patients admitted in the repurposed orthopaedic wards during the second COVID wave and to evaluate the factors that might affect the clinical outcomes in such patients. Methods: This was a retrospective review of records of patients admitted in the repurposed orthopaedic wards between 16 April 2021 and 20 May 2021. Details related to demography, COVID-19 presentation, COVID-19-related management and clinical course, including transfers to ICUs, and outcomes in terms of either discharge to home or death were recorded. They were analysed using statistical software. Results: One hundred and twenty three patients were treated during the said period. Twenty patients died during treatment, resulting in a mortality rate of 16.3%. Age, gender, RT-PCR status, pre-existing comorbidities, SpO2 at admission, method of supplemental oxygen supply, total leukocyte counts, haemoglobin values, serum C-reactive protein, Lactate dehydrogenase (LDH) and creatinine values had no statistically significant association with death of a patient during treatment. Conclusion: Based on the results, one can state that clinicians of surgical specialities having background knowledge of internal medicine from undergraduate education can manage patients of COVID-19 with support from ICST with reasonable outcomes. In case of future pandemics, surgical wards can be repurposed to tide over exigencies. Additionally, primary care physicians, who are often the first point of contact for patients, can allay their apprehensions adequately in future pandemics, thus preventing widespread panic and burdening of healthcare resources.

Emergency triage nurses' perceptions of caring behaviors and the safety of the patient during triage encounters: a grounded theory study.

BACKGROUND: Triage is a dynamic process prioritising the patient coming to the emergency department. Caring behaviour and patient safety during the triage process are essential for ensuring a good care experience and treatment outcome. OBJECTIVE: To describe triage nurses' perceptions on caring behaviors and patient safety in the triage area. DESIGN: Strauss and Corbin's Grounded theory method was used to develop the model. METHODS: The study was conducted in the emergency department in northeastern Slovenia. Semi-structured interviews were used for data collection, and 19 triage nurses were selected by theoretical sampling, guided by emerging categories between November 2021 and July 2022. The data analysis was conducted according to Strauss and Corbin's coding framework. RESULTS: The analysis of the interviews generated one category: The process of creating a caring and safe triage encounter for the patient, together with two categories that explain the key phenomenon: (1) Triage caring and (2) Safety in the triage process. Within the category "Triage caring", four subcategories were developed: (1) Assurance of triage nurses' presence, (2) Connectedness, (3) Respectful attitude, and (4) Knowledge and skills. The category Safety in the triage process consists of three identified subcategories: (1) Conception and perception of safety, (2) Factors influencing patient safety, and (3) Improving the triage safety. CONCLUSIONS: The triage nurses' perceptions about caring for the patient and his safety in the triage area show that caring and safety are inseparably linked and coincide when triaging a patient. Namely, caring for the patient means ensuring the patient's safety at the same time. IMPLICATIONS FOR THE NURSING FIELD: A better understanding of the importance of triage nurses' caring behavior and patient safety emerges from the findings, highlighting the challenges faced in a busy emergency department where nurses must balance providing care and responding to patients' needs while ensuring safety. Findings in the study show that patient care and safety are inseparably linked and coincide when triaging a patient. Moreover, applying caring behaviour during triage encounter results in greater patient safety. NO PATIENT OR PUBLIC CONTRIBUTION: The study's design, evaluation of the findings, and execution did not need the involvement of patients or the general public. Participants were triage nurses working in the emergency department. Triage nurses were interviewed about their perceptions of triage nurses on caring behaviors and patient safety during triage encounter.

Predicting severe outcomes in pediatric trauma patients: Shock index pediatric age-adjusted vs. age-adjusted tachycardia.

INTRODUCTION: When an injured patient arrives in the Emergency Department (ED), timely and appropriate care is crucial. Shock Index Pediatric Age-Adjusted (SIPA) has been shown to accurately identify pediatric patients in need of emergency interventions. However, no study has evaluated SIPA against age-adjusted tachycardia (AT). This study aims to compare SIPA with AT in predicting outcomes such as mortality, severe injury, and the need for emergent intervention in pediatric trauma patients. MATERIAL AND METHODS: This is a retrospective cross-sectional analysis of patient data abstracted from the Trauma Quality Improvement Program Participant Use Files (TQIP PUFs) for years 2013-2020. Patients aged 4-16 with blunt mechanism of injury and injury severity score (ISS) > 15 were included. 36,517 children met this criteria. Sensitivity, specificity, overtriage, and undertriage rates were calculated to compare the effectiveness of AT and elevated SIPA as predictors of severe injuries and need for emergent intervention. Emergent interventions included craniotomy, endotracheal intubation, thoracotomy, laparotomy, or chest tube placement within 24 h of arrival. RESULTS: AT classified 59% of patients as "high risk," while elevated SIPA identified 26%. Compared to AT patients, a greater proportion of patients with elevated SIPA required a blood transfusion within 24 h (22% vs. 12%, respectively; p < 0.001). In-hospital mortality was higher for the elevated SIPA group than AT (10% vs. 5%, respectively; p < 0.001) as well as the need for emergent operative interventions (43% vs. 32% respectively; p < 0.001). Grade 3 or higher liver/spleen lacerations requiring blood transfusion were also more common among elevated SIPA patients than AT patients (8% vs. 4%, respectively; p < 0.001). AT demonstrated greater sensitivity but lower specificity compared to SIPA across all outcomes. AT showed improved overtriage and undertriage rates compared to SIPA, but this is attributed to identifying a large proportion of the sample as "high risk." CONCLUSIONS: AT outperforms SIPA in sensitivity for mortality, injury severity and emergent interventions in pediatric trauma patients while the specificity of SIPA is high across these outcomes.

A novel digital PCR assay for detection and comprehensive characterization of Molluscum contagiosum virus genotypes MOCV1, MOCV2, and MOCV3 and recombinant lineages.

Molluscum contagiosum virus (MOCV) is an important human pathogen causing a high disease burden worldwide. It is the last exclusively human-infecting poxvirus still circulating in its natural reservoir-a valuable model of poxviral evolution. Unfortunately, MOCV remains neglected, and little is known about its evolutionary history and circulating genomic variants, especially in non-privileged countries. The design weaknesses of available MOCV detection/genotyping assays surfaced with recent accumulation of abundant sequence information: all existing MOCV assays fail at accurate genotyping and capturing sub-genotype level diversity. Because complete MOCV genome characterization is an expensive and labor-intensive task, it makes sense to prioritize samples for whole-genome sequencing by diversity triage screening. To meet this demand, we developed a novel assay for accurate MOCV detection and genotyping, and comprehensive sub-genotype qualification to the level of phylogenetic groups (PGs). The assay included a novel set of oligonucleotide primers and probes, and it was implemented using digital polymerase chain reaction (dPCR). It offers sensitive, specific, and accurate detection, genotyping (MOCV1-MOCV3), and PG qualification (PG1-6) of MOCV DNA from clinical samples. The novel dPCR assay is suitable for MOCV diversity triage screening and prioritization of samples for complete MOCV genome characterization.

Deep learning models for interpretation of point of care ultrasound in military working dogs.

Introduction: Military working dogs (MWDs) are essential for military operations in a wide range of missions. With this pivotal role, MWDs can become casualties requiring specialized veterinary care that may not always be available far forward on the battlefield. Some injuries such as pneumothorax, hemothorax, or abdominal hemorrhage can be diagnosed using point of care ultrasound (POCUS) such as the Global FAST® exam. This presents a unique opportunity for artificial intelligence (AI) to aid in the interpretation of ultrasound images. In this article, deep learning classification neural networks were developed for POCUS assessment in MWDs. Methods: Images were collected in five MWDs under general anesthesia or deep sedation for all scan points in the Global FAST® exam. For representative injuries, a cadaver model was used from which positive and negative injury images were captured. A total of 327 ultrasound clips were captured and split across scan points for training three different AI network architectures: MobileNetV2, DarkNet-19, and ShrapML. Gradient class activation mapping (GradCAM) overlays were generated for representative images to better explain AI predictions. Results: Performance of AI models reached over 82% accuracy for all scan points. The model with the highest performance was trained with the MobileNetV2 network for the cystocolic scan point achieving 99.8% accuracy. Across all trained networks the diaphragmatic hepatorenal scan point had the best overall performance. However, GradCAM overlays showed that the models with highest accuracy, like MobileNetV2, were not always identifying relevant features. Conversely, the GradCAM heatmaps for ShrapML show general agreement with regions most indicative of fluid accumulation. Discussion: Overall, the AI models developed can automate POCUS predictions in MWDs. Preliminarily, ShrapML had the strongest performance and prediction rate paired with accurately tracking fluid accumulation sites, making it the most suitable option for eventual real-time deployment with ultrasound systems. Further integration of this technology with imaging technologies will expand use of POCUS-based triage of MWDs.

Predicting sepsis at emergency department triage: Implementing clinical and laboratory markers within the first nursing assessment to enhance diagnostic accuracy.

BACKGROUND: Early identification of sepsis in the emergency department (ED) triage is both valuable and challenging. Numerous studies have endeavored to pinpoint clinical and biochemical criteria to assist clinicians in the prompt diagnosis of sepsis, but few studies have assessed the efficacy of these criteria in the ED triage setting. The aim of the study was to explore the accuracy of clinical and laboratory markers evaluated at the triage level in identifying patients with sepsis. METHODS: A prospective study was conducted in a large academic urban hospital, implementing a triage protocol aimed at early identification of septic patients based on clinical and laboratory markers. A multidisciplinary panel of experts reviewed cases to ensure accurate identification of septic patients. Variables analyzed included: Charlson comorbidity index, mean arterial pressure (MAP), partial pressure of carbon dioxide (PetCO2), white cell count, eosinophil count, C-reactive protein to albumin ratio, procalcitonin, and lactate. RESULTS: A total of 235 patients were included. Multivariable analysis identified procalcitonin ≥1 ng/mL (OR 5.2; p < 0.001); CRP-to-albumin ratio ≥32 (OR 6.6; p < 0.001); PetCO2 ≤ 28 mmHg (OR 2.7; p = 0.031), and MAP <85 mmHg (OR 7.5; p < 0.001) as independent predictors for sepsis. MAP ≥85 mmHg, CRP/albumin ratio <32, and procalcitonin <1 ng/mL demonstrated negative predictive values for sepsis of 90%, 89%, and 88%, respectively. CONCLUSIONS: Our study underscores the significance of procalcitonin and mean arterial pressure, while introducing CRP/albumin ratio and PetCO2 as important variables to consider in the very initial assessment of patients with suspected sepsis in the ED. CLINICAL RELEVANCE: Early identification of sepsis since the emergency department (ED) triage is challenging Implementing the ED triage protocol with simple clinical and laboratory markers allows to recognize patients with sepsis with a very good discriminatory power (AUC 0.88).

Using primary healthcare facilities and patients' expectations about triage system: Patients' perspective from multisite Jordanian hospitals.

BACKGROUND: Using primary healthcare facilities can decrease the tension and workload in emergency departments (EDs). This study aim to examine the patient's use of primary healthcare facilities before EDs visits and their expectations about the triage. METHODS: A cross-sectional design was utilized in at various EDs in different hospitals. A convenience sample of 726 patients were enrolled and completed a self-administrated questionnaire. RESULTS: The mean age of the participants was 38.1 (SD = 12.9). Most participants (68.2 %) did not have primary care physicians and did not want to know how long other patients waited (61.4 %). There are significant relationships between participants' desired to know how long other patients have been waiting and their age (X2 = 4.02, P < .05), education level (X2 = 13.5, P < .001), and current job (X2 = 9.90, p < .05). Also, periodic updates from EDs staff about the delays were significantly related to participants' age (X2 = 3.29), current job (X2 = 28.4), marital status (X2 = 8.93), and residency place (X2 = 9.94). CONCLUSION: Educating patients about the triage system and the importance of using primary healthcare facilities is recommended to reduce ED waiting times and overload.

Reduced Pharmacological Intervention of Prehospital Services for Acute Alcohol Intoxication during the COVID-19 Pandemic in A Large District of Southern Italy.

Background Stress during a pandemic increases the risk of alcohol consumption, which may require pharmacological management. Methods An observational single-center retrospective study was conducted from 1 January 2018 to 31 December 2021, and divided into 2-year periods (2018-2019 and 2020-2021). This study focused on calls to one of the emergency departments (EDs) of seven hospitals in the Bari (Italy) metropolitan area for patients requiring emergency services (ESs) who were either admitted or not admitted, due to their refusal. Results A 30% reduction in emergency calls for alcohol-related issues and a 41.17% reduction in calls for patients who refused to be admitted to the ED were observed during the pandemic. During the pandemic, an inverse association was found between pharmacological treatment and number of calls coded green (non-critical) and yellow (fairly critical) in patients admitted to EDs. An inverse association was also found for calls coded green in patients not admitted to EDs and pharmacological treatment. Metadoxine was administered in almost all alcohol-related emergencies, primarily in conjunction with drugs acting on the gastrointestinal tract, irrespective of age, the period considered, and whether patients were admitted or not admitted to the ED. Conclusions ES is the first and only out-of-hospital service encountered by numerous patients with alcohol-use disorders who refuse to be admitted to the ED. These patients should be directed by ES personnel to a multidisciplinary program to receive treatment for drinking, improve their quality of life, and reduce sanitation costs.

Utility of a Multi-Marker Panel with Ultrasound for Enhanced Classification of Adnexal Mass.

Pre-surgical clinical assessment of an adnexal mass typically relies on transvaginal ultrasound for comprehensive morphological assessment, with further support provided by biomarker measurements and clinical evaluation. Whilst effective for masses that are obviously benign or malignant, a large proportion of masses remain sonographically indeterminate at surgical referral. As a consequence, post-surgical diagnoses of benign disease can outnumber malignancies up to 9-fold, while less than 50% of cancer cases receive a primary referral to a gynecological oncology specialist. We recently described a blood biomarker signature (multi-marker panel-MMP) that differentiated patients with benign from malignant ovarian disease with high accuracy. In this study, we have examined the use of the MMP, both individually and in combination with transvaginal ultrasound, as an alternative tool to CA-125 for enhanced decision making in the pre-surgical referral process.

Informing low back pain care from the ground up: Survey of national musculoskeletal triage physiotherapists in Ireland.

BACKGROUND: Healthcare is changing to meet the challenge of a rising musculoskeletal burden associated with the expanding, aging population. Clinicians, important stakeholders in healthcare provision, have crucial insights into service improvement, but clinician consultation is a shortcoming in healthcare development. In Ireland, specialist physiotherapist-led musculoskeletal (MSK) triage services operate at the primary-secondary care interface to expedite patient care. OBJECTIVES: To inform future development of low back pain (LBP) care in Ireland through profiling the operationalisation of the national MSK triage service for LBP, including access, referral management, clinical investigations, onward referral options, access to multidisciplinary team (MDT) services and integration with primary healthcare services. DESIGN: Cross-sectional observational study using a bespoke, anonymous electronic survey. PARTICIPANTS: Thirty-eight clinical specialist physiotherapists working in national programme Irish MSK triage services. RESULTS: Thirty-eight MSK Triage physiotherapists submitted responses (response rate 72%). There was considerable site-dependent variation in LBP service provision, with discrepancies in access to triage services, wait times, referral processing and prioritisation, access to clinical investigations and onward referral options. Most respondents (81%) reported wait times exceeding the three-month target; 75% reported that the level of clinical autonomy associated with their role limited service efficiency; 75% were dissatisfied with primary-secondary care service integration. Respondents identified insufficient availability of primary care multidisciplinary services. CONCLUSION: Lack of standardisation of LBP services exists in Ireland. Services would benefit from improved standardisation, reduced wait times, national accreditation and a defined scope of advanced physiotherapy practice and the development of nationwide community multidisciplinary infrastructure with enhanced interservice communication.

Assessing the utility of artificial intelligence throughout the triage outpatients: a prospective randomized controlled clinical study.

Currently, there are still many patients who require outpatient triage assistance. ChatGPT, a natural language processing tool powered by artificial intelligence technology, is increasingly utilized in medicine. To facilitate and expedite patients' navigation to the appropriate department, we conducted an outpatient triage evaluation of ChatGPT. For this evaluation, we posed 30 highly representative and common outpatient questions to ChatGPT and scored its responses using a panel of five experienced doctors. The consistency of manual triage and ChatGPT triage was assessed by five experienced doctors, and statistical analysis was performed using the Chi-square test. The expert ratings of ChatGPT's answers to these 30 frequently asked questions revealed 17 responses earning very high scores (10 and 9.5 points), 7 earning high scores (9 points), and 6 receiving low scores (8 and 7 points). Additionally, we conducted a prospective cohort study in which 45 patients completed forms detailing gender, age, and symptoms. Triage was then performed by outpatient triage staff and ChatGPT. Among the 45 patients, we found a high level of agreement between manual triage and ChatGPT triage (consistency: 93.3-100%, p<0.0001). We were pleasantly surprised to observe that ChatGPT's responses were highly professional, comprehensive, and humanized. This innovation can help patients win more treatment time, improve patient diagnosis and cure rates, and alleviate the pressure of medical staff shortage.

A Single-Center Retrospective Evaluation of Unplanned Pediatric Critical Care Upgrades.

Background Inappropriate triage of critically ill pediatric patients can lead to poor outcomes and suboptimal resource utilization. This study aimed to determine and describe the demographic characteristics, diagnostic categories, and timing of unplanned upgrades to the pediatric intensive care unit (PICU) that required short (< 24 hours of care) and extended (≥ 24 hours of care) stays. In this article, we hypothesized that we will identify demographic characteristics, diagnostic categories, and frequent upgrade timing periods in both of these groups that may justify more optimal triage strategies. Methods This was a single-institution retrospective study of unplanned PICU upgrades between 2012 and 2018. The cohort was divided into two groups (short and extended PICU stay). We reviewed the electronic health record and evaluated for: demographics, mortality scores, upgrade timing (7a-3p, 3p-11p, 11p-7a), lead-in time (time spent on clinical service before upgrade), patient origin, and diagnostic category. Results Four hundred and ninety-eight patients' unplanned PICU upgrades were included. One hundred and nine patients (21.9%) required a short and 389 (78.1%) required an extended PICU stay. Lead-in time (mean, standard deviation) was significantly lower in the short group (0.65 ± 0.66 vs. 0.91 ± 0.82) ( p = 0.0006). A higher proportion of short group patients (59, 46.1%) were upgraded during the 3p-11p shift ( p = 0.0077). Conclusion We found that approximately one-fifth of PICU upgrades required less than 24 hours of critical care services, were more likely to be transferred between 3p-11p, and had lower lead-in times. In institutions where ill pediatric patients can be admitted to either a PICU or a monitored step-down unit, this study highlights quality improvement opportunities, particularly in recognizing which pediatric patients truly need critical care.

Primary care doctors in acute call-outs to severe trauma incidents in Norway - variations by rural-urban settings and time factors.

BACKGROUND: A severely injured patient needs fast transportation to a hospital that can provide definitive care. In Norway, approximately 20% of the population live in rural areas. Primary care doctors (PCDs) play an important role in prehospital trauma care. The aim of this study was to investigate how variations in PCD call-outs to severe trauma incidents in Norway were associated with rural-urban settings and time factors. METHODS: In this study on severe trauma patients admitted to Norwegian hospitals from 2012 to 2018, we linked data from four official Norwegian registries. Through this, we investigated the call-out responses of PCDs to severe trauma incidents. In multivariable log-binomial regression models, we investigated whether factors related to rural-urban settings and time factors were associated with PCD call-outs. RESULTS: There was a significantly higher probability of PCD call-outs to severe trauma incidents in the municipalities in the four most rural centrality categories compared to the most urban category. The largest difference in adjusted relative risk (95% confidence interval (CI)) was 2.08 (1.27-3.41) for centrality category four. PCDs had a significantly higher proportion of call-outs in the Western (RR = 1.46 (1.23-1.73)) and Central Norway (RR = 1.30 (1.08-1.58)) Regional Health Authority areas compared to in the South-Eastern area. We observed a large variation (0.47 to 4.71) in call-out rates to severe trauma incidents per 100,000 inhabitants per year across the 16 Emergency Medical Communication Centre areas in Norway. CONCLUSIONS: Centrality affects the proportion of PCD call-outs to severe trauma incidents, and call-out rates were higher in rural than in urban areas. We found no significant difference in call-out rates according to time factors. Possible consequences of these findings should be further investigated.

Clinical characteristics of SARS-CoV-2 Omicron BA.2 infection and its impact on pediatric emergency care in northern Taiwan.

BACKGROUND: The SARS-CoV-2 Omicron BA.2 outbreak started in Taiwan in April 2022. The pandemic posed a challenge to pediatric emergency departments (PEDs) because of increased PED visits and diverse clinical presentations. METHODS: We analyzed the clinical characteristics and impact of the Omicron BA.2 pandemic in patients who visited our PED from April 2022 to July 2022. The data from the Alpha variant pandemic during the same period in 2021 were compared with these findings. RESULTS: Overall, 10,878 children were enrolled, and 7047 (64.8%) children were positive for SARS-CoV-2 infection. They had a mean ± SD age of 5.3 ± 4.1 years. The rates of patients with Pediatric Taiwan Triage and Acuity Scale (Ped-TTAS) level 1 (most urgent) (12.3%) and level 2 (27.6%) increased. More children were triaged as most urgent during the Omicron BA.2 pandemic than during the Alpha variant pandemic (p < 0.001). Patients with SARS-CoV-2 infection were likely to present with high fever, croup, dyspnea, febrile seizures, headache, dizziness, and myalgia (all p < 0.001). Four hundred and eleven (5.8%) patients were admitted; 25 (0.4%) patients needed intensive care, including 11 (44.0%) with encephalopathy or encephalitis. Three (0.04%) patients died due to fulminant encephalitis, encephalitis with septic shock, and respiratory failure. CONCLUSIONS: The number of PED visits and the Ped-TTAS level of disease severity significantly increased during the SARS-CoV-2 Omicron BA.2 outbreak. The most common symptom was fever, and high fever was more common in patients with SARS-CoV-2 Omicron BA.2 infection. The rates of patients with croup and febrile seizures also increased.