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公开(公告)号:US11837224B1
公开(公告)日:2023-12-05
申请号:US17136273
申请日:2020-12-29
Applicant: JPJ Ventures, LLC
Inventor: Daemon Whittenburg , Pat Williams , Justin Hipps
CPC classification number: G10L15/22 , G06F9/547 , G10L15/1822 , G10L15/30 , G16H10/60 , H04L9/3213 , H04L63/0485 , H04L63/166
Abstract: Systems and methods for real-time patient record transcriptions and medical form population via mobile devices are described. A user (e.g., a medical professional) may speak into or near a mobile device operable to detect or record spoken language, and furthermore the mobile device may initiate real-time transcription of the spoken language to generate unstructured transcription text data corresponding to the spoken language. The unstructured transcription text data may be parsed for words or phrases indicative of medical information for generating structured data, where the structured data includes terms, phrases, and values identified via delineators and/or natural language processing techniques. Discrete data from the structured data may be directly inserted into corresponding locations (e.g., appropriate medical form text fields) in electronic medical records via APIs and service bus relays.
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公开(公告)号:US10909985B1
公开(公告)日:2021-02-02
申请号:US16176429
申请日:2018-10-31
Applicant: JPJ Ventures, LLC
Inventor: Daemon Whittenburg , Pat Williams , Justin Hipps
IPC: G10L15/00 , G10L15/26 , G10L15/22 , G16H10/60 , G06F9/54 , G10L15/30 , H04L29/06 , H04L9/32 , G10L15/18
Abstract: Systems and methods for real-time patient record transcriptions and medical form population via mobile devices are described. A user (e.g., a medical professional) may speak into or near a mobile device operable to detect or record spoken language, and furthermore the mobile device may initiate real-time transcription of the spoken language to generate unstructured transcription text data corresponding to the spoken language. The unstructured transcription text data may be parsed for words or phrases indicative of medical information for generating structured data, where the structured data includes terms, phrases, and values identified via delineators and/or natural language processing techniques. Discrete data from the structured data may be directly inserted into corresponding locations (e.g., appropriate medical form text fields) in electronic medical records via APIs and service bus relays.
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