This company has evolved out of the MIT labs. This is amazing that for as little as 
$2.00 you can attach a piece of hardware to your smart phone for a quick eye exam. This is not going to replace the optometrist any time soon but can be used anywhere to calculate your vision. Not too long ago MIT came out with another inexpensive attachment for the iPhone to detect cataracts, read more at the link below on that one.
iPhone With Cheap Plastic Lens To Detect Cataract–MIT
This is a cloud based program and with someone who is trained to read the results eye tests can be done anywhere, especially in areas where optometry is not readily available. Perhaps soon we might even see this at the local drug store to buy off the shelf. The company has already partnered with Tufts Medical Center.
One of my thoughts here too is the DMV eye tests, can you imagine how this would make changes there? The entire process takes less than 2 minutes to calculate. Believe it or not, this is related to the bar codes that we now use on our smart phones with the same type of technology so we are scanning our eyes in essence with a very similar optical reading system. More on the actual development at the video below.
Add this on to the growing list of what your smart phone can do for you. BD
There are very few medical devices that cost two dollars, but the Boston based startup eyeNETRA (@eyenetra), has developed a truly jaw-dropping smartphone attachment that costs two dollars and could help billions of individuals around the world currently without access to eye-care.
eyeNetra’s invention (from the MIT Media Lab – surprise surprise) is a way to measure near or far-sightedness by combining a simple optical attachment with software on a mobile phone.
According to the eyeNETRA’s information document, the standard method for diagnosing refractive eye conditions is the Shack-Hartman device, which shines a laser into the patient’s eye and measures the refracted light with a wavefront sensor. The company’s Near Eye Tool for Refractive Assessment (NETRA) is the inverse of a Shack-Hartman device. A patient looks at a cell phone screen through a simple pinhole array at a very close range and aligns the displayed patterns.
Since light from these patterns go through different regions of the visual system, the act of aligning them gives a measure of the optical distortions of those regions and the required refractive correction is computed.
now with ICD10 coding coming up. For quick research and clinical information this could work ok but there is questionable information today too in some of the medical journals and the article states journals will be included here as well. Hopefully I think we have more credible data in journals rather than the opposite. More so than Cedars I still think our Congress needs this capability to gather and sort information to make laws. The US is the only country that ties ICD codes to billing so our Health IT issues are much more complicated than other countries. 
research. Some states have even put governors in their software to block the automated data mining services on the web. With machine learning we always run some risk of “rogue algorithms” too, happens all the time on the stock market so again something to be aware of with writing the unreadable with data base upon data base now aggregated and joined at the hip to ensure “accurate” data is in fact contained. 
have yet another case of “discrimination by the algorithms” for the 99% group and of course I’m right in there with everyone else. When will people starting paying attention here as to what is going on with flawed data?
read more about part 4 and how that occurs here. You have old agencies like the MIB that can’t get their records fixed to be accurate and some people are denied coverage because of that fact.
matched data” the discriminates as now we have “Discrimination by the Algorithm” and it’s showing in more places all the time. Last time I wrote about the FICO mismatched data it all ended up over at the Daily Kos via another publisher as an awareness. As far as I am concerned the FIOC Medication Adherence Scoring is nothing but mismatched data analytics created to sell software and is the work of some “underground” think tanks on how to generate more money and profits. You can find my comments too on the Daily Kos on this as another author included them in her column who was in total agreement. Do you know how common flaws are? Look at this link and see about the 31k that are “living” but Social Security says they are dead.
doctors, doctors on staff at hospitals where they have set foot, and retired doctors. Actually this post got a visit from the AMA with a nice interview on the topic at the link below. Now the AMA sells some data too along the line here relative to doctors and prescriptions. 
who, and how much are the profits on the sale of this data. I’m smart enough to know that you can’t create laws to govern how to write algorithms and code but we can sure go for plan B. Someone needs to enlighten our digital illiterate Congress about this. Read the article at the red link below and think about that excise tax you pay to put a new tire on your car and this will make sense! 
know and want it disclosed publicly. They always come back with “its’ not our fault but rather the data we pull from is not updated. I heard that with HealthGrades and just recently in the news, guess what, HealthGrades merged with a “marketing” company so I think the data may not be doing so good selling itself with accuracy, so let’s get marketing in here and see how we can whoop it up a bit and get consumers to still buy in,even though we know there are flaws, we just want money when we sell this data. You can read in the AMA interview link above about the blame shifting for flawed data with Healthgrades, “it’s not our fault”…right!
we were ahead of our time and the public was not ready for this, but we talked about algorithms created for “desired” results and those for “accuracy” and how they are not always the same. I do a few others out there I communicate with that are far smarter than me that also make this case too. Read this book and learn up. We have a lot going on sadly with the “dark side”. I have had people on Twitter tweet me and thank me for this reference too, it opened their eyes. 
prepared the report. He blamed a faulty algorithm that the state uses to match people to crimes in its electronic database of criminal records. The state says it was appropriate to include the cousin's record, because that kind of information is useful to employers the same way it is useful to law enforcement.”
outpace Facebook. These are those folks that have free access to all our taxpayer data floating around out there and they will continue to profit even bigger, so again why not give something back to the taxpayers. You can’t write laws around this stuff to govern who can write what type of code or algorithms, but you can sure follow a data trail and return some money back to the 99%. Our digitally illiterate Congress is still stumbling around with this and they don’t get it at all as so many are what I call the “non participants” when it comes to consumer IT. 
Are hospitals going to soon be painted like this house? 
![EZClaim[4]](http://lh4.ggpht.com/_v3zjJigoAPE/TG1-9etl5ZI/AAAAAAAAgqg/CRMlet5Pi5k/EZClaim44.png?imgmax=800 "EZClaim[4]")
Math–This Could be a Subject for Michael Moore to Explore and Document In a Movie
Screenings Too–Killer Algorithms Part 12–Medical Billing Codes Style
Duping” Society Combined With A World of Rogue Algorithms & Flawed Data Continues In Markets As Seen With Knight Capital This Week-Attack of the Killer Algorithms Chapter 36
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
