[jimmySixDOF]

The airline industry went through this too and have moderated requirements to be more understanding of who it's consumers are and when. One of the big near miss cases was QF32 out of Singapore where they had over 50 alarms to deal with in addition the the emergency at hand. Alarm pollution is a real UI/UX dilemma.

[hejdufufjrj]

In an airplane at least all the alarms are integrated, but in a hospital room you'll have 15 devices from 7 manufacturers spanning 5 generations.

[hi-v-rocknroll]

58 faults on the ECAM. Source: https://youtu.be/a-4FBN8OTkk

Props to Airbus for proper UX and information prioritization.

[netsharc]

Huh, that title smells of tabloidization. I know about this incident, the "mid-air explosion" have to do with an uncontained disintegration of 1 turbine (with shrapnel flying that breached the wing, luckily not the fuselage), but the title makes it sound the whole plane exploded...

[amelius]

Maybe someone can train an AI to decide which alarms need immediate attention, given N staff members available.

[ijustlovemath]

The FDA would not let this fly. To get a device in the hospital, you have to enumerate EVERY failure mode that you can reasonably protect against, as well as the ones you can't. Some of these failures are crucial enough that they qualify to be required to implement an alarm for.

There's a reason everyone is so loud in the hospital, it's because we have to be to be there in the first place.

[wolrah]

> Maybe someone can train an AI to decide which alarms need immediate attention, given N staff members available.

The words you've used could hypothetically mean some future artificial general intelligence that does not currently exist and there is no guarantee will ever exist, especially within the lifetimes of those participating in this thread. That could obviously be quite good.

"AI" as currently defined by marketing and pop culture to mean machine learning, large language models, etc. should never be allowed to make a medically important decision. We've already seen beyond any reasonable doubt how risky it is to even treat them as a natural language search engine, the idea of handing over life-or-death decisions to them is literally insane.

[throwaway765123]

Yikes I hope this is tongue-in-cheek, I definitely don't want a statistical process deciding whether to surface a life-critical alarm to healthcare staff

[amelius]

If it statistically saves lives?

It's the same as allowing full self driving cars which on average are safer than human drivers but sometimes accidentally drive into a fire truck because they couldn't train an image classifier to more accuracy than 99%.