US 11,681,730 B2
System for data structure clustering based on variation in data attribute performance
Michael Herron, Charlotte, NC (US); and Michael Long, Charlotte, NC (US)
Assigned to Premier Healthcare Solutions, Inc., Charlotte, NC (US)
Filed by Premier Healthcare Solutions, Inc., Charlotte, NC (US)
Filed on Sep. 24, 2021, as Appl. No. 17/483,964.
Application 17/483,964 is a continuation of application No. 16/432,110, filed on Jun. 5, 2019, granted, now 11,163,807.
Prior Publication US 2022/0012269 A1, Jan. 13, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 17/00 (2019.01); G06F 7/00 (2006.01); G06F 16/28 (2019.01); G06F 16/2457 (2019.01)
CPC G06F 16/288 (2019.01) [G06F 16/2457 (2019.01); G06F 16/285 (2019.01)] 30 Claims
OG exemplary drawing
 
1. A system for data structure clustering based on variation in data attribute performance, wherein the system is structured to link a sub-set of data structures out of a global set of data structures to form a peer data cluster, the system comprising:
at least one memory device with computer-readable program code stored thereon;
a network communication device; and
at least one processor being operatively coupled to the least one memory device and the network communication device, wherein the at least one processor is configured to execute the computer-readable program code to:
retrieve a plurality of entity data structures associated with a plurality of entities, wherein retrieving the plurality of data structures comprises, for each entity data structure of the plurality of entity data structures, a first functional performance parameter and at least one attribute of a plurality of attributes associated with an entity of the plurality of entities;
identify, for each entity data structure of the plurality of entity data structures, at least one independent attribute of the plurality of attributes that explains variation in the first functional performance parameter associated with the entity;
construct, for at least one entity data structure of the plurality of entity data structures, an entity discrete attribute structure based on the at least one independent attribute of the plurality of attributes;
receive, from a user device, a user input comprising a request for constructing a peer data cluster for a first entity data structure of the plurality of entity data structures for the first functional performance parameter;
construct the peer data cluster for the first functional performance parameter of the first entity data structure in response to the user input, comprising:
determining a second entity data structure of the plurality of entity data structures that is a peer entity data structure based on similarity of the plurality of entity discrete attribute structures associated with the plurality of entity data structures; and
linking the first entity data structure and the second entity data structure to form the peer data cluster; and
display, via a display device of the user device, a real-time interactive user interface comprising a representation of the peer data cluster for the first entity data structure.