Obamacare: watch out, here comes “predictive modeling” Jon Rappoport June 6, 2014
Obamacare: watch out, here comes “predictive modeling” 060614care
Modeling or programming?
A Medai.com article, “Why is Predictive Modeling Essential to Healthcare?” offers this quote:
“…the algorithms of predictive modeling can analyze hundreds of data points to make a diagnosis or a prediction of risk.”
This is the new thing in American medicine, and everyone is climbing onboard. The idea is to combine diverse sets of data, to diagnose a patient—and also predict what illnesses will strike designated sectors of the population by identifying what social, economic, gender, and behavioral groups they belong to.
“Oh, yes, in USA population sector A-2ab, we can view the electronic health records of 10,000 patients who are single, under 30, live at home with their parents, have a history of ignoring medical advice, display symptoms of ADHD, graduated college with less than a 3.0 grade average, have taken prescription pain meds within the last five years…according to statistics, this group stands a better than 65% chance of developing clinical depression within the next 6.23 years. Therefore, we should prescribe them prophylactic antidepressants now, to save money on more expensive treatments later. If we utilize our algorithm and adjust code 4aQ1 and code 7B2Ex, we’ll be able to pinpoint which patients in this group need medication immediately…”
This is coming. The structure is being built now, across all medical and insurance organizations.
The hubris involved is outstanding, to say nothing of the intrusion on privacy, and the recent abysmal track record of government merely trying to sign people up for Obamacare.
Of course, the proponents of prediction are promising better patient outcomes, enormous $$ savings, and a Brave New World in which “at-risk” groups can be spared suffering before it occurs.
Managed Care has published an article, “More Data in Health Care Will Enable Predictive Modeling Advances.”
Here are two key quotes:
“Predictive modeling (PM) has grown to be a linchpin of care management. Health plans, integrated delivery systems, and other health care organizations (HCOs) increasingly channel their patients to interventions based in part on what they deduce from predictive models that have traditionally been run against databases of administrative claims. In this arena, the Affordable Care Act (ACA) [Obamacare] is likely to exert a profound effect.”
With the bonus that you lose your medical privacy, and you are observed and data-mined in other ways—as a “unit” that belongs to various groups. And oh yes, you get toxic drugs before you’re sick. It’s predictive. Hail to the Chief.
Up the line, proponents of traditional/ natural health, nutritional supplements, and “alternative practices” will discover that, as independent humans, they’re anomalies. The official algorithms don’t include what they do to maintain health. Therefore, they’re outliers.
“Sorry, we can’t model you in our predictions. You don’t compute. You’re illegal. Oh, wait. You do fit into one category: Threat. Potential Danger to the State.”