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Abstract

In a computer-implemented system and method for generating a real-time predictive healthcare model that can predict future costs or health-related behaviors associated with a population of interest, historical healthcare data associated with the population members is used to generate an actuarial predictive model for the population. The actuarial predictive model enables identification of precursors for the population members, such as potential actions that can be taken by the population members to improve their future health and/or reduce future healthcare costs. The precursors are used to design one or more prediction markets and generate prediction market results based upon the market participants' responses. The prediction markets results, along with the actuarial predictive model, are used to generate a real-time predictive model. Later-received actuarial data associated with the population may be used to verify the accuracy of the prediction market results and update the real-time and actuarial predictive models.

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First Claim