Invention Grant
- Patent Title: Generating medication orders from a clinical encounter
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Application No.: US15867895Application Date: 2018-01-11
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Publication No.: US11037665B2Publication Date: 2021-06-15
- Inventor: William G O'Keeffe , Ahmed Al Dulaimy
- 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: Patterson + Sheridan, LLP
- Main IPC: G16H20/10
- IPC: G16H20/10 ; G16H10/60 ; G16H50/20 ; G06N20/00 ; G16H50/50 ; G16H40/63

Abstract:
Performing an operation comprising applying one or more natural language processing (NLP) algorithms to a text transcription of a medical encounter dialogue to determine a plurality of features of the dialogue, processing, by a machine learning (ML) model executing on a processor, the text transcription and the plurality of features of the dialogue to identify a plurality of candidate medications from a knowledge base corresponding to a first statement made by a medical professional during the medical encounter, and outputting an indication of the plurality of candidate medications for display.
Public/Granted literature
- US20190214121A1 GENERATING MEDICATION ORDERS FROM A CLINICAL ENCOUNTER Public/Granted day:2019-07-11
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