Who does not think that processing 200 million pages of information in 3 seconds is not useful for making laws? With using speech recognition even the lowest common denominator with tech skills in Congress can query and participate so every body gets covered.
Yes if you read here often enough you will find a few of my posts that reflect that
sentiment and while it is nice to have super powered computing in healthcare, laws and budgets come first as the rest of healthcare comes after the money is allotted. Here’s a couple examples below as I said this from day one. When companies such as Wellpoint can use such advanced 70 server technology with machine learning for healthcare, laws stand no chance as predictive modeling along with machine learning speed up the process and finding a loophole in any law becomes a much quicker task. It’s been going on for years and it’s how the new algorithmic business models companies use work. Look at this picture and I’m no fan of Goldman Sachs but it says it all, putting groves of paper in front of him to dig through…what a waste of time and effort when we have faster technologies available today. 
The Quiet Rise of Machine Learning-Like IBM Watson Offers With Speed and Learned Analytics-Congress Needs Technology This To Make Better Laws & Collaborate
IBM Watson Capabilities Being Pitched to Financial Industry-Congress Must Not Have Felt They Needed This So Further Behind We Fall With Effective Intelligent Lawmaking
IBM Watson Did Get a Chance to Go To Congress-Should be a Permanent Home For Greater Intelligence for Creating Laws
This technology and the time it takes to run queries when connected to the internet is phenomenal and time saving but we have some in DC that I think are still trying to pull rabbits out of hats and have not come to the understanding of how over loaded everyone is with information today and you need a system that can sort, predict unintentional consequences and create a model for laws. This week on Tuesday there’s a presentation in Washington relative to the future in healthcare and I hope it’s on the research side and not all just for revenue cycling speed with Watson:)
If you watch the video, the computing system is not connected to the internet, but can you imagine if it was? It’s almost wasted not being connected to query the web.
What I found interesting too was listening to the number of hours that one spent reading the words so the system would sound human and we have Nuance involved here with adding speech recognition technologies as well.
Again, healthcare is nice as long as it’s not a revenue cycle focus only as we have enough of that out there today, but to use to create a smarter Congress and better lawmakers to me, is where such technologies would really help as again we need budgets and money to pay for all of it, no matter which way you shake it and having the speed of all the processor cores, would speed things up in Washington and add some real value for accuracy.
Back on target, oncologists said they would like to it out to see if it does in fact go through all the healthcare information available and come up with suitable treatment plans but are also fearful of the cost items being added that would skew actual better treatment plans and care. Blue Cross/Wellpoint of course is in this for the money with reducing costs so I guess time will tell whether or not the algorithms prove useful in the course of everyday medicine. 
Watson can digest and process 200 million pages of content in less than 3 seconds, so again we have the “content” being processed as a real element of the success, being credible content.
Imagine what that could do for lawmakers! I rest my case.
Watson, the "Jeopardy!"-playing computer system, is getting a job.
WellPoint Inc. and International Business Machines Corp. are set to announce a deal on Monday for the health insurer to use the Watson technology, the first time the high-profile project will result in a commercial application.
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