Data security in enrollment management systems

An apparatus for remotely determining an enrollment recommendation for a primary member profile of a plurality of member profiles with respect to a plurality of enrollment plans, the apparatus comprising at least one processor and at least one memory including a computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to:

• access, in response to receiving an enrollment recommendation request for the enrollment recommendation and from a preconfigured enrollment modeling database, enrollment modeling data for each member profile of the plurality of member profiles, wherein:
• (i) the enrollment modeling data for each member profile of the plurality of member profiles comprises one or more transactional records for the corresponding member profile and one or more demographic features for the corresponding member profile, (ii) receiving the enrollment recommendation request initiates a remote enrollment recommendation session, and (iii) none of the enrollment modeling data are obtained from the remote end-user during the remote enrollment recommendation session;
• identify one or more related member profiles of the plurality member profiles based at least in part on comparing the enrollment modeling data for the primary member profile and the enrollment modeling data for each secondary member profile of the plurality of member profiles other than the primary member profile;
• generate, during the remote enrollment recommendation session, a trained cross-member enrollment prediction model based at least in part on one or more training features for each related member profile of the plurality of related member profiles, wherein:
• (i) the one or more training features for a particular related member profile of the one or more related member profile are determined based at least in part on the enrollment modeling data for the particular related member profile, and (ii) generating the trained cross-member enrollment prediction model is performed without requiring any user input from the remote end-user;
• determine a cross-member enrollment recommendation for the primary member profile based at least in part on processing one or more cross-member predictive features of the primary member profile using the trained cross-member enrollment model, wherein the one or more cross-member predictive features are determined based at least in part on the enrollment modeling data for the primary member profile;
• determine a member-specific enrollment recommendation for the primary member profile based at least in part on one or more member-specific features of the primary member profile and one or more enrollment coverage criteria for each enrollment plan of the plurality of enrollment plans, wherein the one or more member-specific features are determined based at least in part on the enrollment modeling data for the primary member profile;
• determine the enrollment recommendation for the primary member profile based at least in part on the cross-member enrollment recommendation for the primary member profile and the member-specific enrollment recommendation for the primary member profile;
• and
• display, during the during the remote enrollment recommendation session and to a remote client device of the remote end-user, an enrollment recommendation user interface associated with the enrollment recommendation.

A non-transitory computer storage medium comprising instructions for remotely determining an enrollment recommendation for a primary member profile of a plurality of member profiles with respect to a plurality of enrollment plans, the instructions being configured to cause one or more processors to at least perform operations configured to:

• access, in response to receiving an enrollment recommendation request for the enrollment recommendation and from a preconfigured enrollment modeling database, enrollment modeling data for each member profile of the plurality of member profiles, wherein:
• (i) the enrollment modeling data for each member profile of the plurality of member profiles comprises one or more transactional records for the corresponding member profile and one or more demographic features for the corresponding member profile, (ii) receiving the enrollment recommendation request initiates a remote enrollment recommendation session, and (iii) none of the enrollment modeling data are obtained from the remote end-user during the remote enrollment recommendation session;
• identify one or more related member profiles of the plurality member profiles based at least in part on comparing the enrollment modeling data for the primary member profile and the enrollment modeling data for each secondary member profile of the plurality of member profiles other than the primary member profile;
• generate, during the remote enrollment recommendation session, a trained cross-member enrollment prediction model based at least in part on one or more training features for each related member profile of the plurality of related member profiles, wherein:
• (i) the one or more training features for a particular related member profile of the one or more related member profile are determined based at least in part on the enrollment modeling data for the particular related member profile, and (ii) generating the trained cross-member enrollment prediction model is performed without requiring any user input from the remote end-user;
• determine a cross-member enrollment recommendation for the primary member profile based at least in part on processing one or more cross-member predictive features of the primary member profile using the trained cross-member enrollment model, wherein the one or more cross-member predictive features are determined based at least in part on the enrollment modeling data for the primary member profile;
• determine a member-specific enrollment recommendation for the primary member profile based at least in part on one or more member-specific features of the primary member profile and one or more enrollment coverage criteria for each enrollment plan of the plurality of enrollment plans, wherein the one or more member-specific features are determined based at least in part on the enrollment modeling data for the primary member profile;
• determine the enrollment recommendation for the primary member profile based at least in part on the cross-member enrollment recommendation for the primary member profile and the member-specific enrollment recommendation for the primary member profile;
• and
• display, during the during the remote enrollment recommendation session and to a remote client device of the remote end-user, an enrollment recommendation user interface associated with the enrollment recommendation.