Most hospitals (both for-profit and non-profit) are terribly inefficient. They burn up clinician time on administrative tasks that could be automated or performed by cheaper office staff or not done at all. And employees often waste a lot of time just waiting around because no one has optimized workflows to shorten queues or eliminate bottlenecks. The incentives are structured in a such a way that there's often little reason to improve.
Most software development shops (both for-profit and non-profit) are terribly inefficient. They burn up programmer time on administrative tasks that could be automated or performed by cheaper office staff or not done at all. And employees often waste a lot of time just waiting around because no one has optimized workflows to shorten queues or eliminate bottlenecks. The incentives are structured in such a way that there's often little reason to improve.
Ha ha, but it's a matter of degree. Every organization has some level of inefficiency but having seen how the sausage is made I can guarantee you that the average software development shop in a US tech company is significantly more efficient than the average hospital. It's not something that you can quantify in a directly comparable way but anyone familiar with the industry will tell you the same.
This is certainly true. With modern AI agents, it is entirely possible that the duty cycle of a software engineering enterprise is not actually the 8h/24h we have today but closer to a 24h/24h system. Certainly my ideal is to proceed software engineering organizations closer to the latter system.
I manage a team of devs in the healthcare industry, I've worked in other regulated industries and healthcare is unique. I could go on forever but it comes down to the fact that healthcare is uniquely risk averse, for understandable reasons.
Risk tolerance is an orthogonal issue. The point I raised is about operational inefficiency which has no impact on risk (in terms of legal compliance or patient safety) one way or the other.
