The Invisible Crew Member: AI, Risk, and the Future of EMS
Artificial intelligence is quickly becoming part of the EMS environment, influencing how calls are dispatched, information is documented, decisions are supported, training is delivered, and operations are managed. This keynote explores both the opportunities and challenges AI may bring to EMS, including bias, inaccurate information, privacy concerns, overreliance, and questions of accountability. Participants will gain a practical understanding of how to incorporate AI into EMS systems while keeping clinical judgment, ethical decision-making, and quality patient care at the center of every decision.
Objectives:
- Identify applications of artificial intelligence in EMS, dispatch, clinical decision support, documentation, education, and operations.
- Examine the potential risks of AI in EMS practice, including bias, inaccurate information, privacy concerns, overreliance, and unclear accountability.
- Describe strategies for incorporating AI into your EMS system ,while preserving clinical judgment, ethical decision making, and patient care.