Here’s yet one more decision making tool taking advantage of sorting big data. If we get enough of these folks they may all merge one day and have one heck of a system:) It is working in India as the video 
presentation states. Yes we have financial slant here with the information offered asking “what is my financial exposure” as seen on the website. They have apps for patients, Big Patients (I don’t it is meant for the overweight but rather playing on big data) And Clinical GPS. The more I look at the various software platforms out there I realize how much the US spends being the only country in the world that ties ICD codes to reimbursement. No wonder other countries move faster on some of this as the US needs jillions of more queries and data sets to make our stuff work and when we go to the new ICD 10 system, we’ll be catching up with writing the additional code and software and if you have not noticed, there’s tons of software out there already for that purpose too.
There’s also the sales pitch here for the ACOs, once we all figure out exactly what one is that again talks about saving money. One thing with all of this and I see it day in and day out on every software company’s page is that they talk about savings through working algorithms (and if you read here often enough I tell you all the time that algorithms move money, especially on Wall Street with queries for desired results instead of accurate) but we do have to to consider that there’s a ton of disruption with emerging technologies besides analytics and that’s a moving train so as soon as you feel you have something locked down in one area for cost, another one springs up and sometimes it’s lifesaving drugs or devices that we need to hop on right away and then, depending on what you are treating, your whole business model on saving money in particular area returns to a crap shoot. That’s why I sit by and watch as just due to everything that is happening in healthcare, the solutions are subject to change at any time:) The analytics are only good until the next innovation hits the road.
The data input column for the API is interesting and included the usual medical information but says Withings sensors are coming soon, you know that wireless scale that is out there. Quite a bit of information on the structure using comma delimited query strings using mostly a “get info” format for most of the desired information. If these folks that have this product that is software as a service would get together with folks like ClinicalKey and put it all together to allow easy research too at the same time, that would be nice too as if you are going to do analytics and have the algorithms set up for that, connect to the credible sources to where a doctor can read up too. Maybe what I said two years ago in jest is coming around, data addiction and abuse is going to be the next upcoming 12 step program on the horizon. I keep telling all who read here to get into a little math and this analytics is all about math and software, but we have to remember we are still in the people business and if not applied in a human fashion, people by the groves are going to go running to join this group…Humanism in Medicine. BD
The Institute for Research on “Humanism in Medicine” Created by The Gold Foundation–To Better Define the Role of Compassion, Altruism, and Respect To Support the Importance of the Doctor/Patient Relationship
The institute for Humanism is definitely worth a mention here as we need to figure out what algorithms work and especially outside the clinical data area, we need to figure out how not to get Algo Duped either and the field of predictive analytics is full of it with quantative analytics that don’t scale over the years or that are a far stretch of the imagination, but there is some good information in that area too, but I see it highly abused when using non credible data for predictive purposes such as some social networks as people lie, and I do laugh at times as Charlie Siefe has said people see a formulas and gee if it has a square root in it, is has to be good..not always. BD
There are numerous interactions between the patient and the care infrastructure. Maybe over the phone with a nurse practitioner, or at an emergency-care center, or with a physician. Each place where care is provided should be personalized. We see this trend toward hyper personalization, with Google, Amazon, and the rest. They deliver individualized experiences at scale.
The question for us: How do you scale a physician’s expertise?
We’ve mined data from the CDC, the WHO, articles, and textbooks. We’ve presented them to physicians, who have spent 20,000 hours ensuring that the data are quality. And that’s how we developed the ‘doctor algorithm.’ It’s a graph of medicine that looks at how illnesses relate to age, lifestyle, or gender. For example, what is fever plus asthma, plus the patient is 32 years old? How do you combine these data into a meaningful diagnosis? That’s what the doctor algorithm is. It’s that synthesis that makes sense of the world’s health data.”
http://www.fastcompany.com/3001691/medgles-doctor-algorithm-creates-personalization-through-data?utm_source=twitter
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