Deans' stroke musings: The jobs we'll lose to machines — and the ones we won't

Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Monday, August 8, 2016

The jobs we'll lose to machines — and the ones we won't - TED talk

From the definition in there that frequent high volume tasks will likely be taken over by machines. Lets look at strokes, there are 15 million strokes a year, 10 million survivors. The normal prescription is ET - Evaluate and treat to the physical therapist, occupational therapist and speech therapist. That takes no skill at all and yet you are paying your stroke doctor a lot of money. A kindergartner could program a machine to do that and speak the words; 'All strokes are different, all stroke recoveries are different'. With that many cases, machines could easily find the similarities and match them to protocols that bring them to recovery.
http://www.ted.com/talks/anthony_goldbloom_the_jobs_we_ll_lose_to_machines_and_the_ones_we_won_t?