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Obamacare Then vs. Now

Obamacare Then vs. Now | Teacher Tools and Tips | Scoop.it
Now, the more than 48 million Americans who are currently without health insurance will be eligible for coverage under Obamacare.
Sharrock's insight:

from the article: "Despite the big changes, many people will not be affected. People enrolled in Medicare and Medicaid programs will not see any substantial changes, nor will people who receive adequate coverage through their employer."

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Is Data Porn Good For Anything?

Is Data Porn Good For Anything? | Teacher Tools and Tips | Scoop.it
So far argues the author it seems not.
Sharrock's insight:

This article may serve "neo-Luddites" well, but it seems a bit short sighted. The arguments of the article hinge on the the belief that nobody can come to conclusions based on the data. For some, of course, this will be the case, but for those who have goals and can reflect on the data, it can't help but have an impact on behavior. For example, food lables have nutritional information. Some people glance at these lables but buy the products despite the grams of fat and sugars indicated, but there are diabetics, physical trainers, nutritionists, and more, who will decide to reject one product over another based on the data on these labels. I'm sure that people with food allergies appreciate inclusion of foods in the ingredients section of the label as well.

Another point: I'm sure, there were many who thought that pictures of cats was the best the Internet had to offer. Now there are computer systems learning to recognize cats, people are creating memes using cats, and there are cat picture collectors making money (or were making money). The World Wide Web, especially through social networking, is generating information based on the data it collects, leading to improved pattern recognition. It never ceases to amaze me how people decide to become early rejectors (as opposed to becoming early adoptors). 

The case against Obamacare lacks awareness that standardizing information acts as an incentive to create businesses around the use of the information. Organizations are already developing services and apps for physicians and patients alike. This takes time. Imagine the next version of "Big Blue" or some other supercomputer developed for "cognitive computing" reads through such data to inform diagnosis, inform the CDC, or some other agency. There is more to data collection than simply informing marketing professionals. Such an argument also seems to ignore the value of infrastructure, like roads. Paving roads is expensive, but what is its value in terms of manufacturing, shipping, transportation, education, commerce, etc.? 

I wonder what research will bear out about data and electronic health records in five to seven years?

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