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Predictive Modeling
(useful as guigeposts,
but still imperfect)
Health insurers are growing more comfortable
with the use of predictive modeling applications to improve care
for high-risk patients already enrolled in the health plan. Now,
a few health plans are starting to explore the potential for these
sophisticated software programs to help set premiums for patients
before enrolling or renewing coverage.
Predictive modeling programs
analyze a few years of past medical claims data - sometimes incorporating
lab, pharmacy and other services - to predict the likelihood that
a given patient will use a lot of services in the future. Often,
the most expensive patients in terms of past claims history aren't
those most likely to cost a lot in the future. The analysis has
proven useful in identifying and stratifying patients into risk
corridors prior to enrollment in disease management programs. Using
predictive modeling for underwriting purposes is getting more and
more prevalent in the market. Some consultion firms will now use
artificial intelligence to help payers measure quality, efficiency,
disease severity and outcomes.
Please let us know if
you want to learn more about how predictive modeling can help you
and your employees--get the most from your medical and Rx plans
for the least possible cost.
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