Development of an Anticipatory Triage-Ranking Algorithm Using Dynamic Simulation of the Expected Time Course of Patients With Trauma: Modeling and Simulation Study.

BACKGROUND: In cases of terrorism, disasters, or mass casualty incidents, far-reaching life-and-death decisions about prioritizing patients are currently made using triage algorithms that focus solely on the patient's current health status rather than their prognosis, thus leaving a fatal gap of patients who are under- or overtriaged. OBJECTIVE: The aim of this proof-of-concept study is to demonstrate a novel approach for triage that no longer classifies patients into triage categories but ranks their urgency according to the anticipated survival time without intervention. Using this approach, we aim to improve the prioritization of casualties by respecting individual injury patterns and vital signs, survival likelihoods, and the availability of rescue resources. METHODS: We designed a mathematical model that allows dynamic simulation of the time course of a patient's vital parameters, depending on individual baseline vital signs and injury severity. The 2 variables were integrated using the well-established Revised Trauma Score (RTS) and the New Injury Severity Score (NISS). An artificial patient database of unique patients with trauma (N=82,277) was then generated and used for analysis of the time course modeling and triage classification. Comparative performance analysis of different triage algorithms was performed. In addition, we applied a sophisticated, state-of-the-art clustering method using the Gower distance to visualize patient cohorts at risk for mistriage. RESULTS: The proposed triage algorithm realistically modeled the time course of a patient's life, depending on injury severity and current vital parameters. Different casualties were ranked by their anticipated time course, reflecting their priority for treatment. Regarding the identification of patients at risk for mistriage, the model outperformed the Simple Triage And Rapid Treatment's triage algorithm but also exclusive stratification by the RTS or the NISS. Multidimensional analysis separated patients with similar patterns of injuries and vital parameters into clusters with different triage classifications. In this large-scale analysis, our algorithm confirmed the previously mentioned conclusions during simulation and descriptive analysis and underlined the significance of this novel approach to triage. CONCLUSIONS: The findings of this study suggest the feasibility and relevance of our model, which is unique in terms of its ranking system, prognosis outline, and time course anticipation. The proposed triage-ranking algorithm could offer an innovative triage method with a wide range of applications in prehospital, disaster, and emergency medicine, as well as simulation and research.

Virtual Reality for Emergency Medicine Training in Medical School: Prospective, Large-Cohort Implementation Study.

BACKGROUND: Virtual reality (VR)-based simulation is being increasingly used to train medical students in emergency medicine. However, because the usefulness of VR may depend on various factors, the best practices for implementing this technology in the medical school curriculum are yet to be determined. OBJECTIVE: The overall objective of our study was to assess the perceptions of a large cohort of students toward VR-based training and to identify the associations between these attitudes and individual factors, such as gender and age. METHODS: The authors implemented a voluntary, VR-based teaching session in the emergency medicine course at the Medical Faculty in Tübingen, Germany. Fourth-year medical students were invited to participate on a voluntary basis. Afterward, we asked the students about their perceptions, collected data on individual factors, and assessed the test scores achieved by them in the VR-based assessment scenarios. We used ordinal regression analysis and linear mixed-effects analysis to detect the impact of individual factors on the questionnaire answers. RESULTS: A total of 129 students participated in our study (mean age 24.7, SD 2.9 years; n=51, 39.8% male; n=77, 60.2% female). No student had previously used VR for learning, and only 4.7% (n=6) of the students had prior experience with VR. Most of the students agreed that VR can convey complex issues quickly (n=117, 91%), that VR is a useful addition to mannequin-based courses (n=114, 88%) or could even replace them (n=93, 72%), and that VR simulations should also be used for examinations (n=103, 80%). However, female students showed significantly less agreement with these statements. Most students perceived the VR scenario as realistic (n=69, 53%) and intuitive (n=62, 48%), with a relatively lower agreement for the latter among female respondents. We found high agreement among all participants (n=88, 69%) for immersion but strong disagreement (n=69, 54%) for empathy with the virtual patient. Only 3% (n=4) of the students felt confident regarding the medical content. Responses for the linguistic aspects of the scenario were largely mixed; however, most of the students were confident with the English language (not native) scenarios and disagreed that the scenario should be offered in their native language (female students agreed more strongly than male students). Most of the students would not have felt confident with the scenarios in a real-world context (n=69, 53%). Although physical symptoms during VR sessions were reported by 16% (n=21) of the respondents, this did not lead to the termination of the simulation. The regression analysis revealed that the final test scores were not influenced by gender, age, or prior experience in emergency medicine or with virtual reality. CONCLUSIONS: In this study, we observed a strong positive attitude in medical students toward VR-based teaching and assessment. However, this positivity was comparatively lower among female students, potentially indicating that gender differences need to be addressed when VR is implemented in the curriculum. Interestingly, gender, age, or prior experience did not influence the final test scores. Furthermore, confidence regarding the medical content was low, which suggests that the students may need further training in emergency medicine.

Presentation and evaluation of a modern course in disaster medicine and humanitarian assistance for medical students.

BACKGROUND: Disaster medicine is a component of the German medical education since 2003. Nevertheless, studies have shown some inconsistencies within the implementation of the national curriculum, and limits in the number of students trained over the years. Recently, the SARS-CoV-2 pandemic and other disasters have called attention to the importance of training medical students in disaster medicine on a coordinated basis. The aim of this study is to present and evaluate the disaster medicine and humanitarian assistance course, which was developed in the University of Tübingen, Germany. METHODS: The University Clinic for Anesthesiology and Intensive Care Medicine in Tübingen expanded the existing curriculum of undergraduate disaster medicine training with fundamentals of humanitarian medicine, integrating distance learning, interactive teaching and simulation sessions in a 40 h course for third-, fourth- and fifth- year medical students. This prospective and cross-sectional study evaluates the Disaster Medicine and Humanitarian Assistance course carried out over five semesters during the period between 2018 and 2020. Three survey tools were used to assess participants' previous experiences and interest in the field of disaster medicine, to compare the subjective and objective level of knowledge before and after training, and to evaluate the course quality. RESULTS: The total number of medical students attending the five courses was n = 102 of which n = 60 females (59%) and n = 42 males (41%). One hundred two students entered the mandatory knowledge assessment, with the rate of correct answers passing from 73.27% in the pre-test to 95.23% in the post-test (t [101] = 18.939, p < .001, d = 1.88). To determine the subjective perception of knowledge data were collected from 107 observations. Twenty-five did not complete the both questionnaires. Out of a remaining sample of 82 observations, the subjective perception of knowledge increased after the course (t [81] = 24.426, p < .001, d = 2.69), alongside with the interest in engaging in the field of disaster medicine (t [81] = 7.031, p < .001, d = .78). The 93.46% of the medical students (n = 100) graded the training received with an excellent overall score (1.01 out of 6). CONCLUSION: The study indicates a significant increase in students' understanding of disaster medicine using both subjective and objective measurements, as well as an increase interest in the field of disaster medicine and humanitarian assistance. Whereas former studies showed insufficient objective knowledge regarding disaster medical practices as well as subjective insecurities about their skills and knowledge to deal with disaster scenarios, the presented course seems to overcome these deficiencies preparing future physicians with the fundamentals of analysis and response to disasters. The development and successful implementation of this course is a first step towards fulfilling disaster medicine education requirements, appearing to address the deficiencies documented in previous studies. A possible adaptation with virtual reality approaches could expand access to a larger audience. Further effort must be made to develop also international training programs, which should be a mandatory component of medical schools' curricula.