Largely I agree with Bert. Medicine is an art for 80% and science for 20% What medical data is recorded in most cases by GP’s is so scanty that AI is not possible. Collecting data over long periods of time might help.
Most IT-systems can not store all the epistemology that is needed for AI, at present. Most of that needed additional info can be obtained on the fly by IT-systems to be designed, Most of the context information (dates, times, locations, persons involved, relationships), are available but never stored, Analysis of images, sounds, that might become feasible. Gerard Freriks +31 620347088 gf...@luna.nl Kattensingel 20 2801 CA Gouda the Netherlands > On 25 Jun 2018, at 12:52, Bert Verhees <bert.verh...@rosa.nl> wrote: > > On 25-06-18 12:40, GF wrote: >> Providing health and care is part science and for a large part an art. >> Meaning that humans are needed. >> >> Artificial Intelligence is a nice scientific hyped topic and nothing more. >> >> That is not to say that AI might play a role and can be of use. >> It needs to be properly designed, engineered and not hacked together. >> It is certain that AI applications in healthcare must be treated as Medical >> Devices. >> >> For it function properly we need to be able to document healthcare topics >> including the full context/epistemology. > I agree, especially on GP-level, I checked with my wife, she is GP, as you > (Gerard) know. I asked her if the context/epistemology in a EHR is sufficient > for machine-learning. It is not, she sufficient, and that will never be. GP's > have other things to do then carefully record all datapoints that describe a > disease. > Even when using archetyped-systems this does not change. > > Allthough, there are some patient-conditions which are very typical for a > disease, mostly this is not the case. > For example, many infection-diseases have fever as a symptom, and one person > gets pain in his back, and the other has headache as a result of fever and > other inconveniences coming with infection disease. > > So, the GP cannot do much with machine learning, the best source of knowledge > is his experience, and if he cannot solve with that, he should ask someone > else, or send the patient to the hospital to a specialist. > > But there, machine learning can do things in some specialties. > > Anyway, thanks for your reply > Bert
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