Invention Grant
- Patent Title: Rapid reconciliation of errors and bottlenecks in data-driven workflows
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Application No.: US16393760Application Date: 2019-04-24
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Publication No.: US11768996B2Publication Date: 2023-09-26
- Inventor: Kanaka Prasad Saripalli , Frank Lucas Wolcott
- Applicant: Edifecs, Inc.
- Applicant Address: US WA Bellevue
- Assignee: Edifecs, Inc.
- Current Assignee: Edifecs, Inc.
- Current Assignee Address: US WA Bellevue
- Agency: Nixon Peabody LLP
- Main IPC: G06F17/16
- IPC: G06F17/16 ; G06F40/151 ; G06N3/08 ; G16H50/70 ; G06N20/00 ; G06F11/07

Abstract:
A unified framework for healthcare workflows to introduce multiple integrated approaches to error analysis. A first approach uses machine learning to extend probabilistic record linkage and apply it to the task of reconciliation, classifying changes between datasets as intentional or unintentional. A second approach uses process mining to extract maximum information about process diagrams and process bottlenecks.
Public/Granted literature
- US20190325011A1 Rapid reconciliation of errors and bottlenecks in data-driven workflows Public/Granted day:2019-10-24
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