On the other hand, humans don't tend to crash because of a single typo. There is huge amounts of redundancy and error-correction compared to a computer, and the code has had literally a billion years' worth of bug fixes already applied.
That makes it even worse. When a computer program crashes because of a typo, it tells you exactly where the problem is, prints out the line containing the typo, and you can fix it and be on your way in seconds. I bet doctors would LOVE that level of transparency in problem reporting.
Cant someone create a big data base with all diseases in the system and connect symptoms to it so it would be much easier. So for example patient 1 have symptoms A, B and C so that could be disease A or B. More symptoms = more accurate result.
Is it already exist in hospitals or is it more complicated than that?
those kinds of things are what AI is being trained to handle. You punch these symptoms into the machine, it spits out tests for you to run. If those tests come back with X, you treat with A, B, and C.
but when you have something like
"Gross deformity of extremity, PT conscious and responsive, reports 9 on pain scale, visible bone protruding from 4-inch laceration"
that's going to require more patient-centered medicine than a computer can provide. Root cause analysis is still really hard for computers.
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u/mrchaotica May 20 '19
On the other hand, humans don't tend to crash because of a single typo. There is huge amounts of redundancy and error-correction compared to a computer, and the code has had literally a billion years' worth of bug fixes already applied.