Invention Grant
- Patent Title: Automatic discrepancy detection in medical data
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Application No.: US15295865Application Date: 2016-10-17
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Publication No.: US11195600B2Publication Date: 2021-12-07
- Inventor: Deepta Rajan , Tanveer Syeda-Mahmood
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Foley Hoag LLP
- Agent Erik Huestis; Stephen Kenny
- Main IPC: G16H10/60
- IPC: G16H10/60 ; G16H15/00 ; G16H30/40 ; G16H50/20

Abstract:
Automatic discrepancy detection in medical data is provided. In various embodiments, a disease label for a present study is determined, indicative of a disease condition. Retrospective review of a plurality of electronic medical records is performed. The retrospective review comprises searching for electronic medical records relevant to the disease condition. The earliest electronic medical record reflecting the disease condition is identified. Based on the earliest electronic medical record reflecting the disease condition, one or more of the electronic medical records having an omission or inconsistency is identified. The one or more of the electronic medical records having an omission or inconsistency are flagged for supplemental review in a worklist.
Public/Granted literature
- US20180107792A1 AUTOMATIC DISCREPANCY DETECTION IN MEDICAL DATA Public/Granted day:2018-04-19
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