Obamacare: watch out, here comes “predictive modeling”
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.