Teladoc Health‘s patent involves a telepresence device that can efficiently search and retrieve video segments based on situational data. The technology allows users to quickly access relevant information by identifying and presenting matching video segments related to a specific situation of interest. GlobalData’s report on Teladoc Health 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 Teladoc Health, AI assisted drone control was a key innovation area identified from patents. Teladoc Health's grant share as of April 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.

Contextual video search method for telepresence device

Source: United States Patent and Trademark Office (USPTO). Credit: Teladoc Health Inc

The granted patent (Publication Number: US11910128B2) discloses a method for contextually searching video from a telepresence device using a non-transitory computer-readable storage medium. The method involves receiving video from the telepresence device, storing the video, and storing situational data for each video segment, including elements such as patient name, procedure being performed, and remote practitioner operating the device. Users can indicate a situation of interest, prompting the system to identify matching video segments and provide indications to the user.

Furthermore, the method includes receiving a location-situation mapping from a local practitioner and determining situational data from location data. Users can specify filter criteria for indicating a situation of interest, with the system providing indications that identify each video segment based on the corresponding situational data element. This innovative approach to contextually searching video from telepresence devices could have significant implications for healthcare, remote consultations, and other fields where efficient access to relevant video content is crucial.

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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