Prehospital Emergency Care最新文献

{"title":"Development of a Computable Phenotype for Prehospital Pediatric Asthma Encounters.","authors":"Ira Harmon, Jennifer Brailsford, Isabel Sanchez-Cano, Jennifer Fishe","doi":"10.1080/10903127.2024.2352583","DOIUrl":"10.1080/10903127.2024.2352583","url":null,"abstract":"<p><strong>Introduction: </strong>Asthma exacerbations are a common cause of pediatric Emergency Medical Services (EMS) encounters. Accordingly, prehospital management of pediatric asthma exacerbations has been designated an EMS research priority. However, accurate identification of pediatric asthma exacerbations from the prehospital record is nuanced and difficult due to the heterogeneity of asthma symptoms, especially in children. Therefore, this study's objective was to develop a prehospital-specific pediatric asthma computable phenotype (CP) that could accurately identify prehospital encounters for pediatric asthma exacerbations.</p><p><strong>Methods: </strong>This is a retrospective observational study of patient encounters for ages 2-18 years from the ESO Data Collaborative between 2018 and 2021. We modified two existing rule-based pediatric asthma CPs and created three new CPs (one rule-based and two machine learning-based). Two pediatric emergency medicine physicians independently reviewed encounters to assign labels of asthma exacerbation or not. Taking that labeled encounter data, a 50/50 train/test split was used to create training and test sets from the labeled data. A 90/10 split was used to create a small validation set from the training set. We used specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV) and macro F₁ to compare performance across all CP models.</p><p><strong>Results: </strong>After applying the inclusion and exclusion criteria, 24,283 patient encounters remained. The machine-learning models exhibited the best performance for the identification of pediatric asthma exacerbations. A multi-layer perceptron-based model had the best performance in all metrics, with an F₁ score of 0.95, specificity of 1.00, sensitivity of 0.91, negative predictive value of 0.98, and positive predictive value of 1.00.</p><p><strong>Conclusion: </strong>We modified existing and developed new pediatric asthma CPs to retrospectively identify prehospital pediatric asthma exacerbation encounters. We found that machine learning-based models greatly outperformed rule-based models. Given the high performance of the machine-learning models, the development and application of machine learning-based CPs for other conditions and diseases could help accelerate EMS research and ultimately enhance clinical care by accurately identifying patients with conditions of interest.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"10-21"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11579243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140877073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility and Safety of Oral Risperidone to Treat Prehospital Agitation.","authors":"Nicholas S Simpson, Alexander M Schin, Michael C Perlmutter, Alec J Bunting, Gregg A Jones, Holly M Drone, Florian Merkle, Timothy M Kummer, Brian E Driver, Jon B Cole, Aaron E Robinson","doi":"10.1080/10903127.2024.2361133","DOIUrl":"10.1080/10903127.2024.2361133","url":null,"abstract":"<p><strong>Objective: </strong>Agitation is a common prehospital problem and frequently presents without a clear etiology. Given the dynamic environment of the prehospital setting, there has historically been a varied approach to treating agitation with a heavy reliance on parenteral medications. Newer best practice guidelines recommend the incorporation of oral medications to treat patients experiencing agitation. Therefore, we evaluated the use of oral risperidone in a single system after a change in protocol occurred.</p><p><strong>Methods: </strong>This was conducted as a retrospective chart review of an urban/suburban Emergency Medical Services system over the period of 8 months. The first day this medication was implemented throughout the service was included. Charts were included for selection if they included risperidone oral dissolving tablet (ODT) as a charted medication. The primary outcome was administration of additional medications to treat agitation. Exploratory outcome measures included acceptance of medication, documented injury to paramedics, documented injuries to patients, scene times, and adverse events that could possibly be linked to the medication.</p><p><strong>Results: </strong>A total of 552 records were screened for inclusion. Risperidone was offered to 530 patients and accepted by 512 (96.6%). Of these 512 patients, the median age of included patients was 39 years old (IQR 29-52 years old) with a range of 18-89 years old. Rescue or additional medications for agitation were required in 9 (1.8%) cases. There were a total of 4 (0.8%) potential complications following administration of risperidone. There were no reported assaults with subsequent injuries to prehospital personnel or injuries sustained by patients reported in this study.</p><p><strong>Conclusions: </strong>Risperidone ODT was found to be a safe and effective medication to treat mild agitation in a large urban and suburban EMS system. The need for additional medications to treat agitation was rare, and there were no documented injuries to either patients or paramedics.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"182-187"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141161534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Judgment Item Development for Emergency Medical Service Clinicians.","authors":"Paul Rosenberger, Kenneth W Navarro, Christopher B Gage, Mihaiela R Gugiu, Nadine Lebarron McBride, Jonathan R Powell, Ashish R Panchal","doi":"10.1080/10903127.2024.2409976","DOIUrl":"10.1080/10903127.2024.2409976","url":null,"abstract":"<p><strong>Objectives: </strong>While clinical judgment is vital for all clinicians, it is not clearly assessed in initial or continuing emergency medical services (EMS) education due to unclear definitions. Recently, clarity of this concept has been provided through the development of a theoretical framework for clinical judgment in EMS that considers the broad and evolving nature of prehospital care delivery. To facilitate standardization of clinical judgment assessments, in this educational practice review we present a template for item development leveraging the new framework.</p><p><strong>Methods: </strong>We developed this template with input from EMS clinicians, educators, and subject matter experts from the nursing field with experience in clinical judgment item development. This template includes the basic cognitive steps of EMS clinical judgment, including recognizing cues, analyzing cues, defining a hypothesis, generating solutions, taking action, and evaluating the outcomes of those actions.</p><p><strong>Results: </strong>We provide a transparent and reproducible template for item generation for clinical judgment assessments evaluating the six basic cognitive reasoning steps. Further, we provide a fully developed example of template application using a hypoglycemic patient case. This template can be used to support item generation for specific event phases (e.g., en route, scene, and post scene) in a clinical scenario.</p><p><strong>Conclusions: </strong>This template allows for generation of items for each EMS event phase that can be repeated serially for any combination of prehospital clinical situations.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"296-301"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142352475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prehospital Post-Resuscitation Vital Sign Phenotypes are Associated with Outcomes Following Out-of-Hospital Cardiac Arrest.","authors":"Tanner Smida, Bradley S Price, Alan Mizener, Remle P Crowe, James M Bardes","doi":"10.1080/10903127.2024.2386445","DOIUrl":"10.1080/10903127.2024.2386445","url":null,"abstract":"<p><strong>Objectives: </strong>The use of machine learning to identify patient 'clusters' using post-return of spontaneous circulation (ROSC) vital signs may facilitate the identification of patient subgroups at high risk of rearrest and mortality. Our objective was to use k-means clustering to identify post-ROSC vital sign clusters and determine whether these clusters were associated with rearrest and mortality.</p><p><strong>Methods: </strong>The ESO Data Collaborative 2018-2022 datasets were used for this study. We included adult, non-traumatic OHCA patients with >2 post-ROSC vital sign sets. Patients were excluded if they had an EMS-witnessed OHCA or were encountered during an interfacility transfer. Unsupervised (<i>k</i>-means) clustering was performed using minimum, maximum, and delta (last minus first) systolic blood pressure (BP), heart rate, SpO₂, shock index, and pulse pressure. The assessed outcomes were mortality and rearrest. To explore the association between rearrest, mortality, and cluster, multivariable logistic regression modeling was used.</p><p><strong>Results: </strong>Within our cohort of 12,320 patients, five clusters were identified. Patients in cluster 1 were hypertensive, patients in cluster 2 were normotensive, patients in cluster 3 were hypotensive and tachycardic (<i>n</i> = 2164; 17.6%), patients in cluster 4 were hypoxemic and exhibited increasing systolic BP, and patients in cluster 5 were severely hypoxemic and exhibited a declining systolic BP. The overall proportion of patients who experienced mortality stratified by cluster was 63.4% (c1), 68.1% (c2), 78.8% (c3), 84.8% (c4), and 86.6% (c5). In comparison to the cluster with the lowest mortality (c1), each other cluster was associated with greater odds of mortality and rearrest.</p><p><strong>Conclusions: </strong>Unsupervised k-means clustering yielded 5 post-ROSC vital sign clusters that were associated with rearrest and mortality.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"138-145"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11790374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141875731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Deployment of a Pre-Planned Hospital Emergency Response Team (HERT) for EMS Augmentation: Case Report and Program Review.","authors":"Marc Cohen, Ryan DeVivo, Marianne Gausche-Hill, Shira A Schlesinger","doi":"10.1080/10903127.2024.2365333","DOIUrl":"10.1080/10903127.2024.2365333","url":null,"abstract":"<p><p>With the establishment and growth of the Emergency Medical Services (EMS) subspecialty, significant attention has been focused on clinical activities performed by EMS physicians in the out-of-hospital environment. An EMS fellowship includes special operations education to develop preparedness for responding to field situations requiring physician expertise. With only a thousand Board Certified EMS physicians in North America, EMS physicians may not be available 24 h per day to respond to field emergencies. Non-EMS physicians with minimal experience in prehospital or austere care may be called upon to respond to complex prehospital emergencies requiring advanced skills. The Los Angeles County EMS Agency implemented a policy in 1992 to establish Hospital Emergency Response Teams (HERT) as a regional resource to provide time-critical, specialized prehospital services within an EMS system. Activation of the HERT is rare, most frequently prompted by need for field amputation to enable extrication. We describe one such incident of a field intervention by HERT and detail the staffing, training, and equipment considerations within our large regional EMS system.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"194-201"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141262536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State-Based Evaluation of the Workforce Pipeline from Paramedic Program Enrollment to Agency Affiliation.","authors":"Jonathan R Powell, Shea L van den Bergh, Adrienne Kramer, Christopher B Gage, Adam Harrell, Deborah T Akers, Ashish R Panchal","doi":"10.1080/10903127.2024.2371945","DOIUrl":"10.1080/10903127.2024.2371945","url":null,"abstract":"<p><strong>Objectives: </strong>The strength and stability of the paramedic workforce is dependent on the continual flow of EMS clinicians into the field. Workforce entry requires three distinct steps: program completion, certification attainment, and affiliation with an EMS agency. At each of these steps, future EMS clinicians may be lost to the workforce but the contribution of each is unknown. Our objective was to evaluate these inflection points using a state-based registry of EMS clinicians from their point of entry into the EMS education system to eventual EMS agency affiliation.</p><p><strong>Methods: </strong>This is a retrospective cohort evaluation of paramedic students in the Commonwealth of Virginia. We included any student who enrolled in a paramedic program in 2017 or 2018. Data were provided by the Virginia Office of Emergency Medical Services, who tracks the development of EMS clinicians from the point of entry into an educational program through their affiliation with an EMS agency upon employment. Our primary outcomes include proportions of enrolled students who complete a program, graduating students who attain national/state certification, and nationally certified EMS clinicians who affiliate with an EMS agency. Proportions were calculated at each step and compared to the overall population of students enrolled.</p><p><strong>Results: </strong>In 2017 and 2018, 775 and 603 students were enrolled in paramedic programs, respectively. Approximately a quarter of students did not complete their paramedic program (2017: 25% [192/775]; 2018: 28% [170/603]). Of those who graduated, the proportion of students not gaining certification was lower (2017: 11% [62/583]; 2018: 17% [75/433]). Of those who certified, those not affiliating was similarly low (2017: 15% [77/521]; 2018: 13% [46/358]). Evaluating the effect of each of these steps on the total entry into the workforce, nearly half of those who originally enrolled did not join the workforce through agency affiliation (2017: 43% [331/775]; 2018: 48% [291/603]).</p><p><strong>Conclusions: </strong>There are multiple areas to enhance retention of potential EMS trainees from program enrollment to EMS agency affiliation. This analysis suggests that educational attrition has a larger impact on the availability of new paramedics than certification examinations or agency affiliation decisions, though is limited to a singular state evaluation.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"115-119"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141493051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Workplace Violence Against Emergency Medical Services (EMS).","authors":"Sarayna S McGuire, Michelle A Lampman, Olivia A Smith, Casey M Clements","doi":"10.1080/10903127.2024.2381218","DOIUrl":"10.1080/10903127.2024.2381218","url":null,"abstract":"<p><strong>Objectives: </strong>The objectives of this study were to: (1) understand the personal impact of workplace violence (WPV) on staff within a large multistate emergency medical services (EMS) agency, (2) describe the impact of WPV on subsequent patient interactions, examining how experiences of violence affect the quality of care provided by EMS clinicians, (3) examine the influence of WPV on perceived workplace safety among prehospital personnel and its correlation with retention in the EMS field, and (4) solicit recommendations from staff for the prevention and mitigation of WPV in the future.</p><p><strong>Methods: </strong>We conducted virtual focus groups and individual interviews with 22 prehospital personnel using a descriptive qualitative design within a large multistate Midwest EMS agency between 4/5/2023-6/20/2023. Data were analyzed using Thematic Analysis to identify common perceptions among and across participants.</p><p><strong>Results: </strong>Major themes of personal impact; impact on patient interactions; influence of WPV on career longevity/sustainability; and relationship between EMS culture and WPV were identified. Overall, participants shared the perception that WPV is \"part of the job\", and that verbal abuse was so common that they hadn't previously considered it as violence. Participants provided several examples of WPV and described how these experiences impacted them personally (e.g., hypervigilance) and impacted their subsequent interaction with patients (e.g., quicker to use restraints, loss of empathy). Participants shared the perception that EMS is no longer valued or respected by patients or communities. Several voiced concerns for the next generation of colleagues and nearly all participants reported the need for education and training in situational awareness, de-escalation, and self-defense tactics. Participants referenced desire for more coordination and communication with law enforcement, change in culture of abuse from patients without repercussions, and improved agency mental health support and peer support/mentoring following a violent event. Despite experiences with WPV, the majority reported plans to remain in EMS.</p><p><strong>Conclusions: </strong>Emergency Medical Services personnel are commonly traumatized by violence in their work and nonphysical violence is underappreciated. Despite its impact on staff and subsequent patient interactions, most participants reported plans to remain within EMS. Multi-faceted system-focused efforts are needed to shift toward and support a zero-tolerance culture for WPV.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"129-137"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141752479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping Prehospital Clinician Impression to Hospital-Based Diagnoses in Children Transported to the Hospital by Emergency Medical Services.","authors":"Tara Funk Corcoran, Remle Crowe, Christian Martin-Gill, Sriram Ramgopal","doi":"10.1080/10903127.2024.2370511","DOIUrl":"10.1080/10903127.2024.2370511","url":null,"abstract":"<p><strong>Objectives: </strong>Emergency medical services (EMS) serves a critical role in the delivery of services to children with out-of-hospital emergencies. The EMS clinicians' initial field diagnoses, termed \"impressions,\" facilitate focused patient assessments, guide the application of prehospital treatment protocols, and help determine transport destination. We sought to evaluate the concordance of the EMS clinician impression to a child's hospital-based diagnosis.</p><p><strong>Methods: </strong>We retrospectively studied de-identified pediatric (<18 years old) scene runs transported to the hospital and with available linked hospital data from the 2021 ESO Data Collaborative, a multi-agency prehospital electronic health record dataset. EMS impressions and primary emergency department or admission-based diagnoses were categorized into one of twenty-one major groups in the Diagnosis Grouping System. We identified the most common hospital-based discharge diagnoses and evaluated for the agreement between EMS impression and hospital-based diagnosis using Cohen's Kappa statistic.</p><p><strong>Results: </strong>We included 35,833 pediatric transports from the scene with linked prehospital and in-hospital data (median age 11 years, interquartile range, 3-15 years; 50.9% male). The most common categories for both EMS impressions and hospital-based diagnoses were as follows respectively: trauma (26.1%; 24.6%), neurologic diseases (18.9%; 16.4%), psychiatric and behavioral diseases and substance use disorder (11.8%; 11.6%), and respiratory diseases (11.1% and 9.5%). A total of 23,224 out of 35,833 patients, or 64.8%, had concordant EMS impressions and hospital-based diagnoses. There was high agreement between common EMS impression and in-hospital diagnoses (trauma 77.3%; neurologic diseases 70.3%; respiratory diseases 64.5%; and psychiatric, behavioral disease and substance use disorder 73.9%). Hospital-based diagnoses demonstrated moderate concordance with prehospital data (Cohen's κ = 0.59).</p><p><strong>Conclusions: </strong>We found moderate concordance between EMS primary impression and hospital diagnoses. The EMS encounter is brief and without capabilities of advanced testing, but initial impressions may influence the basis of the triage assignment and interventions during the hospital-based encounter. By evaluating EMS impressions and ultimate hospital diagnoses, pediatric protocols may be streamlined, and specific training emphasized in pursuit of improving patient outcomes. Future work is needed to examine instances of discordance and evaluate the impact on patient care and outcomes.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"22-29"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141446853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Compliance Evaluation with ChatGPT for Diagnosis and Treatment in Patients Brought to the ED with a Preliminary Diagnosis of Stroke.","authors":"Merve Yazla, Emine Sarcan","doi":"10.1080/10903127.2025.2475513","DOIUrl":"10.1080/10903127.2025.2475513","url":null,"abstract":"<p><strong>Objectives: </strong>Chat Generative Pre-trained Transformer (ChatGPT) is a natural language processing product developed by OpenAI. Recently, the use of ChatGPT has gained attention in the field of health care, particularly for its potential applications in diagnostic and decision-making support. While its utility is still being explored, it shows promise as a supplementary tool in these contexts. This study aims to evaluate the potential of ChatGPT in making decisions about 'transportation to the stroke center, suspicion of large vessel occlusion and treatment decisions' of patients brought to the emergency department by ambulance with a preliminary diagnosis of stroke.</p><p><strong>Methods: </strong>All patients with a stroke code who were transferred to the emergency department (ED) of a tertiary care hospital, Ankara Etlik City Hospital, by ambulance between November 1, 2023, and April 30, 2024, during designated stroke team coverage periods were included in the study. Unlike many stroke centers that operate continuously 24/7, our institution follows a structured on-call system, where specialized stroke teams are assigned time slots to provide stroke care. Data were collected from prehospital records, ED notes, and hospital imaging and treatment records. ChatGPT's decisions were compared to gold standard outcomes using Cohen's kappa test, with sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) calculated for each directive.</p><p><strong>Results: </strong>A total of 512 patients were analyzed, and ChatGPT's decisions were compared with the patients' final diagnoses and treatments. Analysis comparing ChatGPT's decisions to patient outcomes across prehospital stroke suspicion, large vessel occlusion diagnosis, and treatment phases showed significant agreement (<i>p</i> < 0.001, Kappa: 0.540-0.562). While the sensitivity of the diagnosis of stroke was 91%, the NPV was found to be 98% in patients requiring intravenous tissue plasminogen activator and large vessel occlusion, 97% NPV in patients requiring mechanical thrombectomy.</p><p><strong>Conclusions: </strong>ChatGPT shows promise as a decision-support tool for identifying acute ischemic stroke and determining treatment needs in prehospital and ED settings. However, its reliance on predefined data highlights the need for physician supervision to address clinical complexities and ensure patient safety. Integrating ChatGPT as an adjunct rather than a standalone system can enhance decision-making efficiency while maintaining high-quality care.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"243-251"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143557790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of Emergency Mental Health Dispatch Training by a 9-1-1 Medical Dispatcher Assisting a Caller Expressing Suicidal Intent: A Case Report.","authors":"Lori L Boland, Kelly E Ryan, Jonathan M Flynn, Angie Fox, Joey L Duren","doi":"10.1080/10903127.2024.2399800","DOIUrl":"10.1080/10903127.2024.2399800","url":null,"abstract":"<p><p>A growing number of individuals with unmet mental health needs in the United States rely on emergency medical services during mental health crises, and 9-1-1 emergency medical dispatchers (EMD) are often a critical lifeline to help. Unfortunately, current industry-standard dispatching protocols and training required for EMD certification largely lack specificity for managing 9-1-1 calls related to mental health emergencies. The purpose of this report is to illustrate the value of additional targeted training for EMDs that enables them to more effectively assist callers struggling with mental illness or suicidal thoughts. We review a 9-1-1 call in which an EMD utilized specific strategies and language learned during a 3-day emergency mental health dispatch (EMHD) training course to assist a middle-aged male who was expressing suicidal intent with a firearm. Key principles and phrasing from the training were used successfully by the EMD to dissuade the caller from self-harm, and he was ultimately safely met by first responders on scene and transported for care. We also share post-call recollections and reactions from the EMD to demonstrate how in addition to reducing risks for callers and their families, EMHD training has the potential to reduce on-scene risks for field responders and may increase confidence and mitigate negative stress responses in EMDs. Emergency medical services systems in the United States should continue to explore enhanced training and protocols to improve care for 9-1-1 callers experiencing mental health crises.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"96-99"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142126416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}