EMS Research Podcast Host Bram Duffee dives into a recent study examining ChatGPT’s ability to predict prehospital patient diagnoses based on paramedic care reports.
ChatGPT accurately identified conditions 75% of the time and often erred on the side of caution, potentially reducing dangerous under-triage. Duffee is joined by lead researcher Erik Miller, a nurse practitioner and paramedic turned researcher, who sheds light on the study’s design, limitations, and real-world implications.
They discuss how AI can support—but not replace—the critical thinking skills of EMS providers, the challenges of legal liability, and the risks of overreliance on technology. The conversation also explores future possibilities for AI integration in dispatch and patient care reporting, while emphasizing the irreplaceable human touch in emergency medicine.
