> What on earth do you think that load of garble means? "50-100 years further along" is absurd.
It seems straightforward. Imagine where medical care was 50-100 years ago, and then imagine they had all the data, resources, and practices we have today. In that case, they would have been 50-100 years further ahead than they were.
> Why do you think "more data" is necessarily meaningful, in a health context?
I think the only way to find out what data is meaningful is to collect and analyze more of it. That does not imply that all data is equally worth collecting.
> I think the only way to find out what data is meaningful is to collect and analyze more of it
So the idea is to just muck around with data, then ???, then make people healthier? To a hammer, every problem looks like a nail I suppose.
I don't work in healthcare, but it seems to me that the main problems in the field are:
1) a focus on addressing symptoms, not causes 2) pathologization of normal processes 3) normalization of pathological processes 4) financialization of care + doctor evaluations 5) regulatory capture by care providers
1, 2 and 3 are inherently philosophical problems, and there's no amount of data that you can toss at these problems to solve them. Thinking that data can solve these problems is itself part of the problem.
All I want is an AI that can take in basic information about my demographics, lifestyle, family history, religious beliefs, symptoms and vital signs - and then provide me information on tests I should run and drugs I should take - and then most importantly : tell me how to obtain those tests and drugs without ever dealing with some doctor who's 200k in debt from medical school and needs to appease their administrator by recommending x-many surgical procedures a quarter.
The incentives are bad - not the data or lack thereof.