Predictive Modeling
DSS has worked with claims data on many occasions to create predictive models of health risks, to better understand product preferences in relation to health risks and to segment markets based on current and future risk levels. Predictive modeling involves identifying those demographic factors, behaviors, attitudes and characteristics that contribute to or best predict current and future health risks for individuals and populations in general. Using multi-year medical claims paired with third-party or primary research data, we are able to construct models that can categorize health risks for each individual and identify which unhealthy behaviors are most easily corrected or circumvented. When using third-party data, general models can be developed for application to new members and entire membership files with minimal effort.
