Abstract: The present disclosure presents systems and methods of predicting overdose risk using prescription data. One such method comprises analyzing, by a computing device, a plurality of document datasets, where the document datasets comprising prescription data for a controlled substance, hospital discharge data, socioeconomic data, and vital statistics data of a subject; predicting an overdose risk for the subject within a set period of time based on the plurality of document datasets; aggregating overdose risk predictions involving the controlled substance for a plurality of subjects within a geographic region; and/or calculating an overall overdose risk involving the controlled substance for the geographic region.

Abstract: An omnidirectional movement system includes a frame with a central axis extending from a first end to a second end; a support extending from the first end to the second end; a first set of Mecanum wheels connected through a first axle and connected to the frame; a second set of Mecanum wheels connected through a second axle and connected to the frame; and a flexible suspension system connecting the frame to the support.

Abstract: An omnidirectional movement system includes a frame with a central axis extending from a first end to a second end; a support extending from the first end to the second end; a first set of Mecanum wheels connected through a first axle and connected to the frame; a second set of Mecanum wheels connected through a second axle and connected to the frame; and a flexible suspension system connecting the frame to the support.