Sunday, June 29, 2014

The Big Brother Health Plan

By Alice Lam
In the NYTimes article, “When a Health Plan Knows How You Shop” predictive analytics seem to be the new wave of helping companies determine consumer behavior and habits.  However, predictive analytics come with costs.  University of Pittsburgh Medical Center is now one of the leading institutions running predictive analytics to provide better, more efficient healthcare.  Although it sounds great, the fact that UPMC has an insurance division does incentivize the company to cut costs where it can. Targetting the more high risk patients may seem like a noble deed, we run the risk of allowing the insurance companies know so much about the health of the customer, the allowance of patients who in need of care may be harder (since a higher risk patient would cost the insurance more) and cherry picking the best patients who are healthy so the insurance can be more profitable. Since UPMC has all this data showing correlation among claims, prescriptions and demographics and probability of urgent care, UPMC predict if the patient might end up in the emergency room.  Knowing so much feels like an invasion of privacy.  Many argue that companies buy this kind of consumer behavioral data with other goods and health data is just another extension of that.  However, healthcare data seems to be a tricky case because there are HIPAA guidelines and the Hippocratic oath that seems to be a conflict of interest.  When a doctor can’t even reveal  to the wife the nature of her husband’s disease, it hardly seems right for a company to know all the patient.  It doesn’t seem right for the insurance to encroach on the patient’s privacy so the insurance can nudge the patient into taking better care of himself.  Although saving lives is very honorable, we would never take a person’s life so we can donate the organs to many.  Predictive analytics may be effective but also extremely utilitarian.  It is really hard to judge the intention of the hospital/insurances (better care or profit), how much marketing companies nudges the patient and how well it actually works.  Even if the intention is good and the patient does do more screening, health outcomes may not be better.  Like with all other forms of digital marketing, only time will tell.

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