US2024037278A1PendingUtilityA1

Computer system of computer servers and dedicated computer clients specially programmed to generate synthetic non-reversible electronic data records based on real-time electronic querying and methods of use thereof

Assignee: MDCLONE LTDPriority: May 11, 2016Filed: Oct 11, 2023Published: Feb 1, 2024
Est. expiryMay 11, 2036(~9.8 yrs left)· nominal 20-yr term from priority
Inventors:Luz Erez
G06F 21/6254G06F 3/04847G06F 3/0482G06F 21/6245G16H 10/60G06F 16/9038G06F 16/248G06F 16/335G06F 16/24564G06F 21/602H04L 2209/42H04L 9/0618
74
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Claims

Abstract

In some embodiments, the present invention provides for an exemplary computer system which includes at least: a graphical user interface client; a dedicated application server; the dedicated application server is configured to connect to the graphical user interface client and an electronic source with electronic data records; where the electronic data records include real identification identifiers of real individuals; where the graphical user interface client is configured to generate at a graphical user interface that is configured to receive user authenticating credential information and to conduct a real-time electronic negotiation querying session between the user and the dedicated application server to generate a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals, by utilizing at least one statistical technique so that the plurality of non-reversible synthetic electronic data records cannot be used to identify any real individual in the plurality of electronic data records.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computer system, comprising:
 at least one processor;
 wherein, when executing instructions, the at least one processor is configured to:
 obtain at least one electronic query from a first user, wherein the at least one electronic query comprises:
 at least one of a plurality of personal event data parameters of at least one personal event, and at least one demographic identifier, and 
 a plurality of non-personal event data parameters of at least one non-personal event 
 
 detect, in response to the at least one electronic query, a matched subset of matched data records for a number of real individuals from a plurality of electronic data records stored in at least one electronic source, based at least in part on the at least one personal event, and the at least one non-personal event;
 wherein the plurality of electronic data records comprises real identification identifiers of real individuals; and 
 
 generate, based at least in part on the matched subset, a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals by at least one of:
 self-recalculation of discrete values of the matched subset, and 
 self-transformation of categorical values of the matched subset, 
 wherein the plurality synthetic individuals are composite representations of an individual rather than a real individual; and 
 
 output the plurality of non-reversible synthetic electronic data records,
 wherein the plurality of non-reversible synthetic electronic data records are HIPAA self-compliant. 
 
 
   
     
     
         2 . The computer system of  claim 1 , wherein the at least one processor is configured to electronically output the plurality of non-reversible synthetic electronic data records. 
     
     
         3 . The computer system of  claim 1 , wherein the at least one processor is configured to electronically output, to the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         4 . The computer system of  claim 1 , wherein the at least one processor is configured to electronically output, for a second user different from the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         5 . The computer system of  claim 1 , wherein the plurality of non-reversible synthetic electronic data records of the plurality of synthetic individuals are statistically representative of the matched subset, have at least one synthetic identification identifier corresponding to at least one real identification identifier of a real individual from the matched subset, and cannot be utilized to identify any real individual from the matched subset. 
     
     
         6 . The computer system of  claim 1 , wherein the at least one processor is configured to obtain with a first processor, and
 wherein the at least one processor is configured to generate with a second processor different from the first processor.   
     
     
         7 . The computer system of  claim 6 , wherein the at least one processor is configured to electronically output the plurality of non-reversible synthetic electronic data records. 
     
     
         8 . A computer system, comprising:
 at least one processor;
 wherein, when executing instructions, the at least one processor is configured to:
 obtain at least one electronic query from a first user, wherein the at least one electronic query comprises each of a plurality of personal event data parameters of at least one personal event, and at least one demographic identifier, wherein the at least one demographic identifier is selectable from a plurality of demographic identifiers, and a plurality of non-personal event data parameters of at least one non-personal event 
 detect, in response to the at least one electronic query, a matched subset of matched data records for a number of real individuals from a plurality of electronic data records stored in at least one electronic source, based at least in part on the at least one personal event, and the at least one non-personal event, wherein the plurality of electronic data records comprises real identification identifiers of real individuals; and 
 generate, based at least in part on the matched subset, a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals by at least one of self-recalculation of discrete values of the matched subset, and self-transformation of categorical values of the matched subset, and output the plurality of non-reversible synthetic electronic data records. 
 
   
     
     
         9 . The computer system of  claim 8 , wherein the at least one processor is configured to electronically output the plurality of non-reversible synthetic electronic data records. 
     
     
         10 . The computer system of  claim 8 , wherein the at least one processor is configured to electronically output, to the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         11 . The computer system of  claim 8 , wherein the at least one processor is configured to electronically output, for a second user different from the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         12 . The computer system of  claim 8 , wherein the plurality of non-reversible synthetic electronic data records of the plurality of synthetic individuals are statistically representative of the matched subset, have at least one synthetic identification identifier corresponding to at least one real identification identifier of a real individual from the matched subset, and cannot be utilized to identify any real individual from the matched subset. 
     
     
         13 . The computer system of  claim 8 , wherein the at least one processor is configured to obtain with a first processor, and
 wherein the at least one processor is configured to generate with a second processor different from the first processor.   
     
     
         14 . The computer system of  claim 13 , wherein the at least one processor is configured to electronically output the plurality of non-reversible synthetic electronic data records. 
     
     
         15 . A method, comprising:
 obtaining, with at least one processor, at least one electronic query from a first user, wherein the at least one electronic query comprises each of a plurality of personal event data parameters of at least one personal event, and at least one demographic identifier, wherein the at least one demographic identifier is selectable from a plurality of demographic identifiers, and a plurality of non-personal event data parameters of at least one non-personal event, detecting, with the at least one processor, in response to the at least one electronic query, a matched subset of matched data records for a number of real individuals from a plurality of electronic data records stored in at least one electronic source, based at least in part on the at least one personal event, and the at least one non-personal event, wherein the plurality of electronic data records comprises real identification identifiers of real individuals; and   generating, with the at least one processor, based at least in part on the matched subset, a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals by at least one of self-recalculation of discrete values of the matched subset, and self-transformation of categorical values of the matched subset; and   outputting the plurality of non-reversible synthetic electronic data records.   
     
     
         16 . The method of  claim 15 , wherein outputting comprises electronically outputting, for the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         17 . The method of  claim 15 , wherein outputting comprises electronically outputting, for a second user different from the first user, the plurality of non-reversible synthetic electronic data records. 
     
     
         18 . The method of  claim 15 , wherein the plurality of non-reversible synthetic electronic data records of the plurality of synthetic individuals are statistically representative of the matched subset, have at least one synthetic identification identifier corresponding to at least one real identification identifier of a real individual from the matched subset, and cannot be utilized to identify any real individual from the matched subset. 
     
     
         19 . The method of  claim 15 , wherein obtaining comprises obtaining with a first processor, and wherein generating comprises generating with a second processor different from the first processor.

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