AI Resilience Report forEmergency Medicine Physicians

Emergency physicians still do most of the work themselves. They examine patients, make life‐or‐death calls, and carry out procedures – tasks that require quick thinking and hands‐on care. Some AI tools exist mainly as helpers or in testing.

For example, studies show AI can highlight problems on medical images or help triage patients in the emergency department ^[1]. New “AI scribes” can listen in and draft doctors’ notes, easing paperwork ^[2]. But these are just assistants.

Most AI in emergency care is still in research or pilot stages ^{[1] [1]}. In practice, computers easing work is far more common than computers doing the work. Even where AI is used, a human doctor reviews and acts on it.

In short, no AI currently replaces the core job of an emergency doctor; instead it can help with small parts (like scanning data or note transcription) while doctors focus on patients.

Emergency departments are busy and costly, so hospitals want any safe way to save time and money. In theory, AI could help by handling routine tasks or predicting which patients need urgent care. Many companies are even building “AI scribes” and triage tools – about 60 firms now offer transcription or triage AI, attracting hundreds of millions of dollars in investment ^[2].

However, adoption is still slow. Reasons include the high cost to buy and train new systems, strict healthcare rules and certifications, and doctors’ need to trust the tool ^{[1] [2]}. Hospitals move carefully because mistakes in emergencies are dangerous – they require strong proof before using new tech.

So far, even a popular AI scribe at one big system only showed it could reduce paperwork (and burnout) but didn’t yet save time overall ^[2]. In the future, AI that reliably speeds up paperwork or helps diagnose could be adopted faster because of doctor shortages and burnout. But for now, emergency medicine changes cautiously.

Human skills – quick on‐the‐spot judgment, communication, empathy, and teamwork – remain crucial and can’t be automated.