I lost my health at 16 due to Hanta Virus, and at only 41, due to immune system issues, am starting to show the body of a 75 year old (joint issues, back issues, nephrology issues, cardiac issues, etc....) and I'm not even sure I'll make it to 75 at this point.
Blue collar work is also very unforgiving on a body, and sadly, it's why a lot of boomers are in pretty bad shape. At least if they made it through to that point without their work killing them first.
Not everything is to be blamed on a person for their health. Not everyone that caught covid was being risky (some did everything they could, including masking and vaccines when available and still died).
Buuuutttt... yes, a lot did it to themselves (drugs, bad habits). But I imagine death can actually be mercy vs living. There's also something called a "Fate worse than death" and I've lived it. I think if I die, my wife will finally be financially comfortable and at this point, with life insurance, I'm worth more dead, than alive. I don't have a job that is inherintly risky, yet I've almost been killed by a semi truck at this point requiring spinal surgery.
That said, this is an area where A.I. might actually help. The issue in healthcare is when things happen, especially with a patient, before they arrive, isn't exactly being picked up on, or even being mentioned to a care staff, so they don't know where to start. If Nichelle was a dimentia patient, memory can literally prevent you from addressing the obvious, or it's possible the reason she was sent there wasn't fully relayed (like symptoms, complaints) and was forgotten during the telephone came that ERs play with paramedics, etc...
But A.I. is good at spotting patterns. Things like cancer diagnosis and rarer diseases are being caught now, and most don't know it's really happening in the background of some medical symptoms. At minimum, it can raise red flags on tests, and prompt a closer look. I hate A.I. currently with all my passion, but as a tool, knowing what it really does (and somewhat how it works) patterns are it's speciality and can heavily improve the odds of looking again at an over-looked test.
We call medicine a "practice" because it's not all cut and dry on what to do. If anything, it's more of an informed artist trained at spotting patterns and analyzing data. It's not research, but heavily benefits from anything that can analyze and do this in larger batches and faster, without the mental fatigue of a nurse or doctor that is on their 23rd hour at the ER/OR.
And it is one of the few, legit cases of A.I. as a tool being useful.
Not this B.S. of language and writing emails. it's a pattern analyst, and it's faking it's way as anything else. So this is where it should be applied. It's also why I hate A.I. as it's being applied and forced into the wrong areas of work. I can at least recognize that A.I. is good at something, while hating misapplication. It close to all those other "miracle cures" like dragonfruit, or oils that may have it's place, but are hawked like a miracle cure-all. Radium/Radioactivity is a good example. Great at what it can do, but you shouldn't be drinking it claiming it's going to help you live longer. A.I. is in the same area as nuclear. Good in some areas (really good), completely bad and damaging in others. Or electricity. Yeah, it can move a leg if you zap it, I wouldn't be hooking your paraplegic friend up to the household AC claiming that it makes his legs move and declare that he can walk again all of a sudden.
A.I. can help, but many times even things like Nichelle's case will get completely missed when you factor the fatigue in the providers. Something that A.I. can reduce the mental work load, especially when the doctor is on auto-pilot and his brain has left his soul 12 hours back yet is forced to zombie himself through the night. And A.I. could've made a huge difference here. no ER should be staffed by one charge nurse, with 2 assistants, a doctor sleeping on a couch in the back while being on-call, and this manages 25 beds all at once. But it's now the reality of our healthcare systems. This *WAS* a failure created by the hospital management and the system it exploits, but because it's legal, this will continue to happen. So to adapt, at least it might've made a huge difference in this case.