Your right, as are your examples, but I want to point out an interesting thing about your examples :)
> - CT and MRI data processing
> - scheduling systems for universities and other schools (makes education more scalable)
Those two read as if they are of different urgency (#1: whoever needs it urgently is at risk of dying, schedules for "non-urgent" cases will be affected for months, turning many into urgent cases; #2: the education systems will suffer, but it only gets dire after multiple days), until you realize that #2 also applies to e.g. hospitals.
Medicine at scale is already barely scraping by as it is (see: overworked staff etc. etc.), but disrupt the internal IT working of hospitals and the indirect body count will rise fast.
> - CT and MRI data processing
> - scheduling systems for universities and other schools (makes education more scalable)
Those two read as if they are of different urgency (#1: whoever needs it urgently is at risk of dying, schedules for "non-urgent" cases will be affected for months, turning many into urgent cases; #2: the education systems will suffer, but it only gets dire after multiple days), until you realize that #2 also applies to e.g. hospitals.
Medicine at scale is already barely scraping by as it is (see: overworked staff etc. etc.), but disrupt the internal IT working of hospitals and the indirect body count will rise fast.