US 12,412,212 B2
Data security in enrollment management systems
Priyanka Singh, Rudraprayag (IN)
Assigned to Optum Technology, Inc., Eden Prairie, MN (US)
Filed by Optum Technology, Inc., Eden Prairie, MN (US)
Filed on Nov. 12, 2021, as Appl. No. 17/454,650.
Application 17/454,650 is a continuation of application No. 16/669,634, filed on Oct. 31, 2019, granted, now 11,210,737.
Prior Publication US 2022/0067832 A1, Mar. 3, 2022
Int. Cl. G06Q 40/04 (2012.01); G16H 10/60 (2018.01)
CPC G06Q 40/04 (2013.01) [G16H 10/60 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
accessing, by one or more processors, a cross-member enrollment prediction model from a cross-member enrollment recommendation unit, wherein the cross-member enrollment prediction model is generated based at least in part on a portion of second enrollment modeling data that comprises one or more transactional records or demographic information for one or more of a plurality of secondary member profiles that are related to a primary member profile based at least in part on first enrollment modeling data for the primary member profile and the second enrollment modeling data for the plurality of secondary member profiles with respect to (i) a transactional frequency category, (ii) one or more dominant transactional patterns, and (iii) one or more demographic features;
determining, by the one or more processors and via the cross-member enrollment recommendation unit, a cross-member enrollment recommendation with respect to the primary member profile based at least in part on the cross-member enrollment prediction model and one or more cross-member predictive features of the first enrollment modeling data;
determining, by the one or more processors and via a member-specific enrollment recommendation unit, a member-specific enrollment recommendation with respect to the primary member profile based at least in part on one or more member-specific features that are determined based at least in part on the first enrollment modeling data and one or more enrollment coverage criteria for a plurality of enrollment plans;
and
providing, by the one or more processors and via a recommendation generation unit to a remote client device, the cross-member enrollment recommendation and the member-specific enrollment recommendation to an enrollment recommendation user interface at the remote client device.