It’s been 7 years and this blog is like attached to me for the most part and I have given this some real thought here with what I produce with my “views” like everyone else’s that’s on the web and again small independent bloggers can no longer compete. I get asked all the time to do interviews and I like to do them but it’s mostly from folks that have bigger sponsors or those that are part of a company and I just don’t have the money to a lot of that anymore.
Being a former developer my data mechanics logic has helped me understand a lot more than I ever thought it would years ago and it does make a difference but I’m finding the world has changed today and living too virtual with a lot of flawed data out there 
is not good either.
I have had my campaign going for privacy/transparency and I fully realize this is hard thing for consumers to really understand how the big profit epidemic works out there but it does with secretly scoring people right and left and denying access but I can say I tried.
Everything will still be here and nothing will go away and who knows maybe some day when there’s room for independent bloggers to once again participate, I could be back.
If I were to generate enough in the privacy campaign, that could do it! I’m finding too that virtual worlds and what is on the web is so far different than what goes on in the real world and I too have to watch that I don’t get skewed too far in one direction or the other.
So for now, the Medical Quack is broke and will be signing off for now. It’s been a good 8 years and I learned a lot in blogging about healthcare as well. Again it’s just like everything else out there the small person doesn’t stand much of a chance out there today, where as in the past, things used to be different.
So long for now…and thank you for your readership! It’s appreciated!
Barbara Duck
The Medical Quack
on the Rite Aid settlement. So there you go, new CVS apps as of July and off to collecting more of your data to sell with the new ecommerce centers opening up. Both chains make a healthy dollar selling your data, 1-2 Billion a year. If that bugs you, visit my campaign to where I am trying to get a law passed to have all data sellers buy a license and disclose what kind of data they sell and to what kind of companies. Heck every time a prescription is filled by customers the data production for sales gets rolling.
quant doesn’t know what the right is doing as in the link below where United goes out and wins and bids a Medicare Advantage contract but the doctors had already been fired by another company quant I assume so they had to give up the contract.
in February and it’s well worth the watch at the Q and A as remember these are folks that are hands on engineers and know data mechanics logic very well.
rules as well. Of course it would take a lot of research for Dignity to go through all the pension fund numbers and would cost money as noted below. 
that data. It’s the last little bit that we have and until someone experiences an experience of not being able to remove the flawed data that gets stuck to you like super glue, you can’t understand it. With all the repackaging going on now, you don’t know where to go to get it fixed and when you do, someone else has the flawed data base and reuses it and repackages you and there it is again.
Walgreens pulling in 1 to 2 billion with a “B” selling data. It’s an epidemic and sadly it sounds like it’s moving it’s way into the NHS with again “duping the government” on value. 
with data. You can mine and dig through data and always find “something” of course of use, but again it’s being way over rated today with trying to sell “some great white hope” that doesn’t exist, so enter the “dupers” that cling on to this belief and data selling for profit continues to grow. Patients at Mayo for example all have their de-identified records sent to Optum Labs for the paying clients to research and mine through. 
about the media being affected by this phenomena. He states we have failed the tests of realities, but it really doesn’t work. I have a post on that one from a while back as well which refers to the confusion we have out there today with people not being able to tell the difference between virtual world values and the real world. It’s been a pretty popular post. 
all of it, but it’s good to be aware and understand what they are working with today. He states sure we need both, input from people and data. News media companies are all hiring data scientists to handle some of the more complex data situations to take a look at data and see if there’s story in it. We get some good stories and sometimes we get junk with numbers that may not relate to us as consumers. We have to remember too that stock markets on Monday through Friday when the markets are open, the bots get the news first and we are the secondary audience to the bot.
own can be very misleading and he called the Economist a “views paper” and gives options for readers to choose from. Also we have to be aware of over quantitation and I wrote about that a while back with some news articles we read today. 
This is like a bunch of kids out there with the handling and news reporting of this error, I have never seen anything like it but it goes to show that once emotions get involved here, and we are all humans, how the distraction levels disconnect folks from what really matters. I mean I have to laugh not only at the folks picking this apart, but also the administration reaction. 
just work methodically with data and marketing and take over..so what do you think has happened here? I had a banker the other day that loved the correlation of the Sebelius Syndrome:) 
of technology and both the good and bad that comes out of it, as there’s both. I’m just reading all the press on this and thinking to myself “what a circus of distraction” and furthermore, what’s accomplished other than some air time on TV and web? Oh yeah, let’s have some disciplinary action for the hard working techs that probably made an honest mistake, burn the tech folks at the cross, the bad guys:) I don’t give a darn about this “public service servants” line given, just get your perceptions on with the real world and let’s move forward. Everyday the gap between how the administration reacts and talks in the press and the strange perceptions just play out much clearer every time and it’s not doing much for the public’s perception of managing the agency. 
“look what a pretty infographics I made” and it’s also a very negative impact on those who are abuse, like infographic bullying if you will. People that are obese are not hidden in some data base somewhere where you can’t find them but on the web, the folks that live way too virtual seem to think there’s something to that.
was initiated, it was pretty cut and dry but technology itself moved so fast, the add on came way too fast and quick to be totally absorbed. The model as created for state two didn’t show that but when it got down to using it in the real world, well that’s when everything comes out in the open as far as whether a model is ok as is or needs adjustments.
not be a coder or you can learn to code and have that logic and never code, take your choice. Data mechanics logic is the key to understanding how all of it comes together, so you could take classes and never code but if you grasp the concept it will make you a much smarter person.
with that idea as it won’t work. Now back on track various states are trying to figure out now that the Federal funds are going away, how to stay open. These are the states that set up their own exchanges and not the ones covered by Healthcare. Gov. Those states have another issue called a “lawsuit” where the Supreme Court will make a decision on whether or not they are legal, so if it’s not one thing, it’s another.
times in 2 years, all inside jobs. 
qualifications to get Medicare reimbursement so that might say something right there. It’s pretty bad when the regulators said it was like One Flew over the Cuckoo’s Nest. BD 
sent back, depending on the “view” you have in your profile, so two people would get different answers if you will, in other words a Bull might see a different answer than a Bear for a simple analogy.