Predictive data analysis techniques for generating optimized drug delivery arrangements

An apparatus for performing optimized drug delivery for a target profile with respect to a target user profile, the apparatus comprising at least one processor and at least one memory including program code, the at least one memory and the program code configured to, with the processor, cause the apparatus to at least:

• perform a plurality of optimized drug need prediction iterations, wherein:
• each optimized drug need prediction iteration of the plurality of optimized drug need predictions is configured to generate an optimized delivery prediction for the optimized drug need prediction iteration,
• generating the optimized delivery prediction for an initial optimized drug need prediction iteration of the plurality of optimized drug need predictions comprises:
• (i) determining an initial delivery dosage prediction for the initial optimized drug need prediction iteration based at least in part on a current medical history profile of the target user profile at a prediction time of the initial optimized drug need prediction iteration and of the target drug profile in relation to the target user profile, and (ii) generating the optimized delivery prediction for the initial optimized drug need prediction iteration based at least in part on the initial delivery dosage prediction, and
• generating each optimized delivery prediction for a post-initial optimized drug need prediction iteration of the plurality of optimized drug need predictions comprises:
• (i) determining a drug need prediction for the prediction time of the post-initial optimized drug need prediction iteration based at least in part on the drug necessity profile and current usage monitoring data for the target user profile in relation to the target drug profile during a target monitoring period for the post-initial optimized drug need prediction, (ii) in response to determining that the drug need prediction describes an affirmative drug need prediction, generating the optimized delivery prediction based at least in part on a post-initial delivery dosage prediction for the post-initial optimized drug need prediction iteration and a post-initial delivery timing prediction for the post-initial optimized drug need prediction iteration, and (iii) in response to determining that the drug need prediction describes a negative drug need prediction, generating the optimized delivery prediction based at least in part on the negative drug need prediction;
• perform the optimized drug delivery based at least in part on each optimized delivery prediction for an optimized drug need prediction iteration of the plurality of optimized drug need predictions.

A computer program product for performing optimized drug delivery for a target drug profile with respect to a target user profile, the computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions configured to:

• perform a plurality of optimized drug need prediction iterations, wherein:
• each optimized drug need prediction iteration of the plurality of optimized drug need predictions is configured to generate an optimized delivery prediction for the optimized drug need prediction iteration,
• generating the optimized delivery prediction for an initial optimized drug need prediction iteration of the plurality of optimized drug need predictions comprises:
• (i) determining an initial delivery dosage prediction for the initial optimized drug need prediction iteration based at least in part on a current medical history profile of the target user profile at a prediction time of the initial optimized drug need prediction iteration and of the target drug profile in relation to the target user profile, and (ii) generating the optimized delivery prediction for the initial optimized drug need prediction iteration based at least in part on the initial delivery dosage prediction, and
• generating each optimized delivery prediction for a post-initial optimized drug need prediction iteration of the plurality of optimized drug need predictions comprises:
• (i) determining a drug need prediction for the prediction time of the post-initial optimized drug need prediction iteration based at least in part on the drug necessity profile and current usage monitoring data for the target user profile in relation to the target drug profile during a target monitoring period for the post-initial optimized drug need prediction, (ii) in response to determining that the drug need prediction describes an affirmative drug need prediction, generating the optimized delivery prediction based at least in part on a post-initial delivery dosage prediction for the post-initial optimized drug need prediction iteration and a post-initial delivery timing prediction for the post-initial optimized drug need prediction iteration, and (iii) in response to determining that the drug need prediction describes a negative drug need prediction, generating the optimized delivery prediction based at least in part on the negative drug need prediction;
• perform the optimized drug delivery based at least in part on each optimized delivery prediction for an optimized drug need prediction iteration of the plurality of optimized drug need predictions.