Invention Grant
- Patent Title: Predicted data use obligation match using data differentiators
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Application No.: US17204735Application Date: 2021-03-17
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Publication No.: US11669571B2Publication Date: 2023-06-06
- Inventor: Daniel L. Binkley , Lisa A. Hodne , Matthew Jon Hartzler , Majdoddin Izadian
- Applicant: Optum, Inc.
- Applicant Address: US MN Minnetonka
- Assignee: OPTUM, INC.
- Current Assignee: OPTUM, INC.
- Current Assignee Address: US MN Minnetonka
- Agency: Alston & Bird LLP
- Main IPC: G06F16/901
- IPC: G06F16/901 ; G06F16/9035 ; G06F16/9038 ; G06F16/904 ; G06F16/22 ; G06F16/2457

Abstract:
Embodiments provide for predicted data use obligation matching using data differentiators. Example embodiments retrieve a cross-link relationship graph structure from a data repository, where the cross-link relationship graph structure includes a plurality of cross-link relationship graph nodes connected by a plurality of cross-link relationship graph edges. Each cross-link relationship graph node is associated with a unique logical data record set identifier of a plurality of logical data record set identifiers associated with a dataset identifier. For each unique logical data record set identifier, the cross-link relationship graph structure is traversed. Based at least in part on a separation measure associated with each cross-link relationship of one or more cross-link relationships associated with the unique logical data record set identifier, one or more data use obligation scores for the unique logical data record set identifier is generated.
Public/Granted literature
- US20210294853A1 PREDICTED DATA USE OBLIGATION MATCH USING DATA DIFFERENTIATORS Public/Granted day:2021-09-23
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