Abstract: Systems and methods for complex care tools are disclosed. For example, user data associated with users that have benefited from enrollment in a complex care program may be utilized to predict additional users that are also likely to benefit from enrollment. The presently disclosed systems and methods may determine reductions in cost profiles associated with enrolled users that exceed a reduction value, where the reduction value indicates the intended benefit of the complex care program has been achieved. The system may then associate user data of such users with the reduction value. As such, the system may utilize this data to predict additional users that are likely to benefit from enrollment. In this way, the system may engage such users to promote enrollment so that care costs may be reduced.

Abstract: Systems and methods for complex care tools are disclosed. For example, user data associated with users that have benefited from enrollment in a complex care program may be utilized to predict additional users that are also likely to benefit from enrollment. The presently disclosed systems and methods may determine reductions in cost profiles associated with enrolled users that exceed a reduction value, where the reduction value indicates the intended benefit of the complex care program has been achieved. The system may then associate user data of such users with the reduction value. As such, the system may utilize this data to predict additional users that are likely to benefit from enrollment. In this way, the system may engage such users to promote enrollment so that care costs may be reduced.