InTouch Technologies has patented a system using machine learning to automatically generate structured medical notes during remote consultations. The system includes a provider tele-presence device, a machine learning network, and a feedback system to improve accuracy. The structured notes are stored in a medical documentation server. GlobalData’s report on InTouch Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on InTouch Technologies, was a key innovation area identified from patents.
Automated generation of structured medical notes during remote consultations
A newly granted patent (Publication Number: US11862302B2) describes a system for automatically generating structured medical notes during remote medical consultations. The system includes a provider tele-presence device that facilitates audio communication between a medical provider and a patient, displaying information from the patient's medical record. A machine learning network processes audio data, transcribes speech, and generates structured medical notes based on the medical record, transcribed speech, and patient audio meta-data. The system also features a feedback mechanism for medical provider corrections to improve the machine learning network.
Furthermore, the system incorporates patient tele-presence devices, pre-processors for transcribing audio data, and the ability to receive visual data or medical device data. The machine learning network can be executed on various devices, including desktop computers, mobile devices, or servers. Additionally, the system allows for medical provider interaction with the structured medical notes during or after generation, and can incorporate vital sign data, patient posture indications, and details of medical provider interactions for comprehensive note generation. The system's machine learning network can be tailored to specific medical provider models, with the feedback system enabling continuous improvement based on medical provider corrections.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
