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There are a lot of current doctor work which involves. "Any issues with the medication your on, ok, can I see your bloodwork, no red values, here is your prescr
by JamesBarney 7y ago
There are a lot of current doctor work which involves. "Any issues with the medication your on, ok, can I see your bloodwork, no red values, here is your prescription."
- dragontamer 7y agoWhich really should be the job of a nurse or physician's assistant. Doctors should be reserved for the cases that requires the ~10 years of training they receive. Most people probably only need a yearly-visit to the physician's assistant or a nurse for bloodworks. There shouldn't be a need to see an actual doctor on a regular basis (unless you have some chronic ailment that nurses / physician assistants can't handle). ------------ The prescription is probably the only part of that routine that requires a doctor.
- toomuchtodo 7y agoEntirely accurate. It's the AMA/doctor lobby (purposely constraining supply to keep wages high) that is preventing nurses and nurse practitioners from filling this role. My prescriptions and bloodwork are already in an EHR/EMR (EPIC) and shared with Apple Health, machine intelligence should be doing as much heavy lifting as possible.
- x220 7y agoThis question might be out of place, but why should I trust ML algorithms for my health? To be a doctor you need at least a decade of education and training, as well as licensing and adherence to a code of ethics. To be a tech bro you just need to get hired. You don't even need a degree. You could come to work stoned and as long as your boss doesn't notice, you're fine and can continue to write the code that my health could rely on.
- toomuchtodo 7y agoI'd expect the development of healthcare related machine intelligence/assistance technologies to be heavily regulated, in the same way medical devices are by the FDA. 50% of doctors graduate in the lower half of their class each year. Lots of low hanging fruit with ML if implemented properly (big if, I know).
- rscho 7y agoOkay, how do you implement efficient ML with terrible quality data?
- toomuchtodo 7y agoTime and effort? ML already finds lung cancer better than human radiologists, so it’s clear there are datasets that are of sufficient quality. We continue to improve datasets wherever possible.
- rscho 7y agoIn a word: no. Machines can find a spot on an image better than a radiologist when it is known that there might be one. Unfortunately, that is of very little use to the clinician. The big hype is a consequence of a big misunderstanding of the practical constraints of healthcare. Time and effort don't fix bad data and bad statisticians.
- toomuchtodo 7y agoBut time and effort does enable better pipelines to improve future data quality. Garbage in, garbage out, don’t collect garbage.
- rscho 7y agoI'm sold. Now try to convince the people who are important to convince and have a good laugh. Reliable data collection is the biggest challenge for modern medicine. A challenge far greater than getting better statistical models.
- deleted 7y ago[deleted]
- petra 7y agoOf course the next-gen system(including people and machines) should be proven as trustworthy, before being used. Nobody here is against that.
- aaron425 7y agoMight be some sort of liability aspect to this, where the doctor has to certify in case something goes wrong. Do nurses/PAs have to carry malpractice insurance? Not super clear on this myself.
- ip26 7y agoI think NP's do.
- phren0logy 7y agoNurse Practitioners can be sued for malpractice, but despite practicing independently they are held to a significantly lower standard of care.
- petra 7y agoWe know how to replace doctors with nurses. It works well, in many cases. It's really a political problem. People don't seem to have enough motivation to politically fight to replace doctors with nurses, and doctors have a lot of power and motivation to keep their jobs. And what about powerful actors from inside the system ? Hospitals, Insurers, etc ? In general, everyone gets a share of revenue. So why bother reducing that ?
- internet_user 7y agoInsurers and hospital would only love to keep inflating bills higher and higher, and high physician comp help to justify that.
- internet_user 7y agoyou over-estimate the amount of training they receive. physicians usually hit their stride 5-10 years before they kick the bucket.