[lekanwang]

As an investor in healthcare AI companies, I actually completely agree that there's a lot of bad implementations of AI in healthcare settings, and what practitioners call "alarm fatigue" as well as the feeling of loss of agency is a huge thing. I see a lot of healthcare orgs right now roll out some "AI" "solution" in isolation that raises one metric of interest, but fails to measure a bunch of other systemic measures.

Two thoughts: 1: I think the industry could take cues from aerospace and the human factors research that's drastically improved safety there -- autopilot and autoland systems in commercial airliners are treated as one part of a holistic system with the pilot and first officer and flight attendants in keeping the plane running smoothly. Too few healthcare AI systems are evaluated holistically.

2: Similarly, if you're going to roll out a system, either there's staff buy-in, or the equilibrium level of some kind of quality/outcomes/compliance measure should increase that justifies staff angst and loss of agency. Not all AI systems are bad. One "AI" company we invested in, Navina, is actually loved by physicians using them, but the team also spent a LOT of time doing UX research and feedback with actual users and the support team is always super responsive.

[hartspear]

Agreed, what was obviously missing from this person's experience was an opportunity to guide deployment in ways that work well for their understanding of the workflow. I think companies often fail to explore what actually happens on the ground of their organizations and make assumptions that are not accurate. AI could be a huge help to nurses but it takes conversations and direct insight during development to get it right.