The world of prehospital medicine is constantly evolving, driven by new research, technological advancements, and a shared commitment to improving patient care and provider well-being. As EMS professionals, staying informed about these developments goes beyond a professional obligation; it is an opportunity to improve our practice, champion our profession, and ultimately make a greater impact on saving lives. In this article, we will explore some of the latest research findings that are reshaping our field, from workplace culture to cutting-edge technology.
The Culture of Care: Supporting EMS Providers
Our work is demanding, both physically and emotionally, and the culture within our agencies plays a critical role in our well-being. A recent systematic review in the International Journal of Environmental Research and Public Health revealed that many EMS providers avoid using organizational mental health services due to stigma and a perception that these programs lack genuine care. The study emphasizes the need for person-centered support and a cultural shift that normalizes seeking help as a sign of strength (Johnston et al., 2025).
This cultural component also impacts retention. Another study in the same journal found that agencies with collaborative, team-oriented "clan" cultures had significantly lower turnover rates compared to those with rigid or chaotic structures. For leaders in EMS, fostering a supportive environment is not just about morale. It is a strategic imperative for retaining skilled clinicians (Kamholz et al., 2025).
Professional Recognition: Breaking Barriers
Across the globe, paramedics are striving for recognition as integrated healthcare professionals. A qualitative study in BMC Health Services Research identified common barriers, including outdated legislation, inconsistent regulation, and insufficient funding. While the pandemic temporarily highlighted our capabilities, the momentum has waned. The study calls for targeted policy reforms and investments in education and leadership to solidify our role in the broader healthcare system (Feerick et al., 2025).
Physical Demands and Injury Prevention
The physical toll of our work is undeniable. A scoping review in Applied Ergonomics confirmed that musculoskeletal injuries, particularly to the back, are rampant in EMS. Tasks like handling stretchers and patient extractions are among the most strenuous. The review also highlighted fitness disparities, with male paramedics generally showing more strength but less flexibility than their female counterparts. These findings underscore the need for targeted injury prevention programs and realistic physical standards to keep us safe throughout our careers (Marsh et al., 2025).
Advancements in Cardiac Arrest Care
When it comes to cardiac arrest, every second counts. A study in Resuscitation reinforced the value of bystander CPR, showing that dispatcher-assisted CPR significantly improves outcomes for untrained bystanders. For those with prior CPR training, acting independently yielded even better results. This highlights the importance of public CPR education alongside dispatcher support (Tagami et al., 2025).
On the scene, our interventions matter immensely. Research in The Journal of Emergency Medicine found that for traumatic cardiac arrest patients, aggressive interventions like prehospital thoracostomy can be lifesaving (McWilliam et al., 2025). Meanwhile, a study in Critical Care Medicine revealed that extracorporeal CPR (ECPR) significantly improves outcomes for patients with refractory ventricular fibrillation, emphasizing the need for early transport to specialized centers.
The Role of Technology in EMS
Technology is poised to revolutionize EMS, from dispatch to diagnosis. A study in The American Journal of Emergency Medicine demonstrated that large language models (LLMs) like ChatGPT could prioritize ambulance requests with remarkable accuracy, aligning with expert paramedic decisions over 76 percent of the time. This proof of concept suggests that AI could one day enhance resource allocation in dispatch centers (Shekhar et al., 2025).
On the diagnostic front, machine learning is opening new possibilities. For example, a study in Bioengineering showed that analyzing photoplethysmography waveforms could estimate blood loss in trauma patients, offering a non-invasive way to guide resuscitation (Gonzalez et al., 2025). Similarly, research in Medical Engineering & Physics explored using multidimensional data to differentiate ischemic from hemorrhagic strokes in the field, potentially enabling more targeted prehospital care (Alshehri et al., 2025).
Addressing Disparities in Care
Equity in EMS is a cornerstone of our profession, yet recent studies highlight troubling disparities. Research in JAMA Network Open found that ambulance offload times were significantly longer in communities with higher proportions of Black residents (Zhou et al., 2025). Another study in JAMA Surgery revealed that Black and Asian trauma patients were less likely to receive helicopter transport compared to White patients. These findings are a call to action for all of us to examine our systems and biases to ensure equitable care for every patient (Mpody et al., 2025).
The research discussed here represents just a fraction of the advancements shaping EMS today. From improving workplace culture and injury prevention to leveraging AI and addressing systemic inequities, these findings have real-world implications for our protocols, training, and advocacy efforts. As EMS professionals, we have a responsibility to stay informed and apply these insights to our practice.
For a deeper dive into these topics and more, I invite you to listen to the podcast, EMS Research with Professor Bram latest episode, https://youtu.be/rt_1AFzSLIk "Research Highlights and Innovations Shaping Our Field.”
Alshehri, A., Panerai, R. B., Lam, M. Y., Llwyd, O., Robinson, T. G., & Minhas, J. S. (2025). Can we identify stroke sub-type without imaging? A multidimensional analysis. Medical Engineering & Physics. https://doi.org/10.1016/j.medengphy.2025.104364
Feerick, F., Coughlan, E., Knox, S., Murphy, A., Grady, I. O., & Deasy, C. (2025). Barriers to paramedic professionalisation: A qualitative enquiry across the UK, Canada, Australia, USA and the Republic of Ireland. BMC Health Services Research, 25(1), 993. https://doi.org/10.1186/s12913-025-10993-7
Gonzalez, J. M., Holland, L., Hernandez Torres, S. I., Arrington, J. G., Rodgers, T. M., & Snider, E. J. (2025). Enhancing trauma care: Machine learning-based photoplethysmography analysis for estimating blood volume during hemorrhage and resuscitation. Bioengineering, 12(8), 833. https://doi.org/10.3390/bioengineering12080833
Johnston, S., Waite, P., Laing, J., Rashid, L., Wilkins, A., Hooper, C., Hindhaugh, E., & Wild, J. (2025). Why do emergency medical service employees (not) seek organizational help for mental health support?: A systematic review. International Journal of Environmental Research and Public Health, 22(4), 629. https://doi.org/10.3390/ijerph22040629
Kamholz, J. C., Gage, C. B., van den Bergh, S. L., Logan, L. T., Powell, J. R., & Panchal, A. R. (2025). Association between organizational culture and emergency medical service clinician turnover. International Journal of Environmental Research and Public Health, 22(5), 756. https://doi.org/10.3390/ijerph22050756
Marsh, E., Orr, R., Canetti, E. F., & Schram, B. (2025). Profiling paramedic job tasks, injuries, and physical fitness: A scoping review. Applied Ergonomics, 125, 104459. https://doi.org/10.1016/j.apergo.2025.104459
McWilliam, S. E., Bach, J. P., Wilson, K. M., Bradford, J. M., Kempema, J., DuBose, J. J., ... & Brown, C. V. (2025). Should anything else be done besides prehospital CPR? The role of CPR and prehospital interventions after traumatic cardiac arrest. The Journal of Emergency Medicine. https://doi.org/10.1016/j.jemermed.2025.02.010
Mpody, C., Rudolph, M. I., Bastien, A., Karaye, I. M., Straker, T., Borngaesser, F., ... & Nafiu, O. O. (2025). Racial and ethnic disparities in use of helicopter transport after severe trauma in the US. JAMA Surgery, 160(3), 313–321. https://doi.org/10.1001/jamasurg.2024.5678
Shekhar, A. C., Kimbrell, J., Saharan, A., Stebel, J., Ashley, E., & Abbott, E. E. (2025). Use of a large language model (LLM) for ambulance dispatch and triage. The American Journal of Emergency Medicine, 89, 27–29. https://doi.org/10.1016/j.ajem.2025.05.004
Tagami, T., Takahashi, H., Suzuki, K., Kohri, M., Tabata, R., Hagiwara, S., ... & Ogawa, S. (2025). The impact of dispatcher-assisted CPR and prior bystander CPR training on neurologic outcomes in out-of-hospital cardiac arrest: A multicenter study. Resuscitation, 110617. https://doi.org/10.1016/j.resuscitation.2025.110617
Zhou, T., Wang, Y., Zhang, B., & Li, J. (2025). Racial and socioeconomic disparities in California ambulance patient offload times. JAMA Network Open, 8(5), e2510325. https://doi.org/10.1001/jamanetworkopen.2025.10325