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Our proprietary consumer and patient risk models predict risk or need of service of non-patients and patients within the next 12 months. Put these models to work in the platform by using the Risk Model Selector when building your audience to identify the right individuals to contact. While the models are intuitive when it comes to creating adult audience lists, there are considerations to keep in mind when using Ignite risk models to create pediatric campaign audience lists.


Pediatric patients

Consumer data only includes adults over the age of 18. Because minors aren’t included in consumer data, it isn’t possible to score them using our consumer risk models. Instead, consumer data will give insight on how many households in the market have children (e.g., Household criteria filters - Child Count, Household Age Bands), affinities (e.g., Household criteria filters - Household Interests, Household Niches), household income, and other basic demographics at the household level.

When a minor is a patient, the system can use data from their encounter records to apply patient risk models. Keep in mind that predictive models rely heavily on historic patient data in order to establish a risk score. Pediatric patients don’t have much history, so there are naturally fewer data points to establish risk. Think of this as applying an adult-sized predictive model to child-sized data—the fit isn’t perfect, but the lift and ROI will likely be better than creating an audience list at random.