Sometimes I go a few weeks without an update but just did one yesterday and here’s another today. You can read the article below and
see there’s a hot line set up for those who received the wrong cards. With so many entities in data systems today this is happening more frequently so thus here was the case of “flawed data” that was caught after the fact. It could be worse if it had not been caught. Software, in the words of Bills Gates is nothing more than a bunch of algorithms working together and thus these algorithms has some flawed data inside when running their missions.
I started the series over a year ago and this as you can see is Chapter 51 as mistakes and mismatched data costs people job opportunities and credit score errors as well. The credit scoring goes way deeper than that though with agencies that combine credible data with non credible data and then score consumers with information they mine from the web that could be total fiction. Something needs to be done about that and all who sell data should be licensed and should pay quarterly excise taxes. Companies makes billion and billions each year selling data. Some companies that
could expand manufacturing have opened up factories oversees and their expansion in the US has been to mine and sell data, which does nothing for US jobs. Also a lot of the data they sell is becoming flawed and as consumers we have to fix all the corporate errors on our dime.
Attack of the Killer Algorithms! Digest & Links for All Chapters–Read About Math and Crafty Formulas Running on Servers 24/7 Making Life Impacting Decisions About You– Updated
Here was Chapter 50 and see how the algorithms made a decision to up a consumer’s health insurance premium by $100 a month.
Woman Moves 10 Miles in California, Blue Cross Raises Premiums From $418 a Month to $524–Quantified “Crap Algorithm” For Geographic Risk, Killer Algorithms Chapter 50 That Sustain Inequality In The US
Here’s another another post which I guess could have been part of the Killer Algorithm series to where the Academy of Family Practice Physicians found the United Healthcare algorithms calculating and paying doctors in some parts of the country less than Medicare.
The AAFP Confronts United Healthcare On Reimbursements, Some Are Below Medicare Rates In Parts of the US–Payment Algorithms/Formulas Calculated Deep Within IT Infrastructures Do the Job
What is also amazing though too is the speed at which some folks think all of this comes together today is pretty simple, it’s not as more data has to connect from various silos to make a complete record or transaction and if that information comes from outside your silo and there’s errors, well like a snowball it rolls downhill and that data with flaws will do the same thing with every other data base it gets queried with. The fun part of all of this though doesn’t really begin until the errors are fixed.
By that time the data more than
likely has been probably used by many sources and the tentacles could be many. When the data queries roll out and like in this example, they are running 100 miles and hour but when you have to back up, try going back to the speed of around 10 miles per hour. It’s just like a car when you talk about forward and backward speeds. You can’t have same speed going backwards as you do forwards and all the errors have to be fixed.
Systems are so complex today as we built them that way as companies competed to have an “edge” and in the financial markets, that’s still going on to the point of one quant suggested that they could use drones on the Atlantic ocean to get the signals faster on stock markets between the US and the UK, imagine that, not. I’m not holding my breath when it comes to insurance exchanges either as so much data grew in the last 2 years and insurers are setting up their own exchanges as well…question is..how will they work and will the government be able to set up as they were originally designed. Many states handed it over to the feds as the exchanges require negotiating with insurers and nobody looks forward to their complexities either. I think the old cherry picking days for profit are drawing to a close and when you have to insure a big population in the US, might as dump a bunch of them as they no longer will or should apply. BD
A computer programming error is being blamed for a mass mailing mixup — California's Department of Health Care Services (DHCS) reported Saturday that 2,643 Medi-Cal benefits identification cards were sent to the wrong families.
According to a news release, the BIC cards were meant for some of the children making the Jan. 1 transition from the Healthy Families Program to Medi-Cal.
Families sent cards by mistake will receive a self-addressed stamped envelope to mail them back. Additionally, a helpline has been set up at 1-855-297-5064, Monday through Friday, between the hours of 8 a.m. and 5 p.m.
http://www.scpr.org/blogs/news/2012/12/22/11696/2643-medi-cal-benefits-cards-accidentally-mailed-w/




an IPhone. What is interesting is the healthcare claims it makes as there could be some use that has value if in fact they device functions to help patients with PTSD and help with some diagnostic areas. Would I myself wear one just as a consumer with no known issues with stress other than occasionally being stressed out, probably not. I could dig out my old “mood ring” for that <grin>. Furthermore would I want this information sent to someone else, not at all. As you can see I’m not messing with that mood ring anymore either:)
from stealth mode earlier this year with a device that can measure proxies for excitement or stress, including increased motion, increased skin conductance from perspiration, and elevated skin temperature. The device, called bandu, sends readings to the wearer’s smartphone, which records them for later analysis. The device also includes a display that can be customized to suggest, say, that you take your medication, call a loved one, or listen to a song. 
for humans, of course not for a drug like this. There were over 300 volunteers who took the drug that did not have Anthrax exposure to test the safety of the drug with side effects, etc. BD
imagine their “quant” payroll has to be good sized when you bring in all their subsidiaries and their “quants” too as more money is coming from that end of the business than selling policies last I read. Perhaps this reimbursement issue was one of those non linear calculations to match where there are relatively no matches or relationships in data? By the way if you would like to see the credentials that your doctor has to meet with united to gain premium recognition or if you are a doctor and have not seen this,
doctors and getting the same care, just living in a new place 10 miles down the road. Consumers are getting the brunt of all of the analytics used today and of course doctors get this type of evaluation too.
that run the processes and it’s getting worse. I’m guessing that this woman in her appeal to Blue Cross is waiting for someone to modify the parameters of this algorithm that caused her monthly premiums to raise. One other area the insurers use today and that is MIB and fat chance of getting things fixed there is they have errors. It can take years as their focus right now is making money selling data. Their operation of being just a holding place for consumer data has changed and they have become pretty aggressive in marketing.
Gates Foundation and if this comes around, condoms will never be the same. This is definitely tech condom in design for sure. It has to do with the fibers used to create it and one fabrics dissolves within a few minutes while another fabric dissolves slowly over a few days. The secondary dissolve process is part of the HIV protection. 
Yes that one is out there, overselling analytics and mismatching data to make a buck. Selling these analytics is one of the biggest abuses I have seen and is clearly a case to make money employing some “Algo Duping” along the line to sell this line of garbage with trying to sell some non linear data crap for lack of better words.
company to sign a license agreement with MMRGlobal, parent company of
Access My Records
back to money. Were the employees trying to somehow help the uninsured who could not pay or were they making additional pocket money? I must say if they were fitting braces and doing root canals it was pretty sophisticated and they took x-rays and more. BD
to do so have been varied. One might ask will ACO models take the course of electronic medical records with hundreds of variations? So this probably a good idea here to create some standards and a model to follow to somewhat keep all on a common path as far as the IT mechanics go and what components of Health IT are either required or best practice modules.
treatment and thus may decrease heart muscle damage and improve survival rates related to major cardiac events. After completing a Phase One study in the US, the AngelMed Guardian System is presently being tested in the ALERTS pivotal study. The ALERTS study is a prospective, randomized multicenter study with FDA approval for 100 centers and 1020 subjects with a high-risk of having a heart attack. All subjects have data collection and analysis enabled from the onset, however, subjects are randomized 1:1 for patient alerting ON or OFF for the first 6 months. After the initial 6 month period, patient alerting is enabled for the control group. All subjects will be followed until study closure.”
patients of acute episodes of cardiac ischemia related to the progression of coronary artery disease and thrombotic coronary occlusion caused by vulnerable plaque ruptures. Some of the external monitoring devices that are part of the Guardian's alerting system were built by Flextronics in Valencia, CA.
translate what was in the news to what had to happen with the mechanics…you don’t get that anywhere else but I’m just trying to help the layman understand what some of this means. Sure people edit and find things to improve, but that process is a heck of a lot faster than the processes needed to fix it or develop new code. Wake up. At the link below, GAO has done its work and now CMS has to go back and do the extensive time consuming, dollar consuming code fixes. It is what it is. 






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Math–This Could be a Subject for Michael Moore to Explore and Document In a Movie



Study Fraud With EHR Technologies, Namely Medical Records/Billing Software Used by Hospitals– HHS And SEC Continue Getting Their Non-Algorithmic Fannies Kicked–Attack of the Killer Algorithms Chapter 46
SilverScript Senior Drug Program Sanctioned by Medicare Until the Payment And Billing Algorithms are Cleaned Up-Killer Algorithms Chapter 53
