Teladoc Health. has filed a patent for a computer-implemented method to personalize care programs on a telehealth platform. The method involves displaying questions, assigning concerns and severity scores, using a segmentation model to recommend a program, and notifying the user. 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 January 2024 was 52%. Grant share is based on the ratio of number of grants to total number of patents.

Personalized care program for telehealth platform

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

A computer-implemented method for personalizing a care program for a telehealth platform has been detailed in a filed patent (Publication Number: US20240029849A1). The method involves displaying a sequence of questions on a user device, including personal needs and clinical survey questions, receiving and storing user responses, assigning a primary concern and severity score, using a segmentation model to recommend a program, and notifying the user of the recommended program. The segmentation model utilizes a trained machine learning (ML) model and can be further trained based on feedback from healthcare providers. Additionally, the method includes displaying interactive content associated with the recommended program, prompting communication sessions with healthcare providers, and scheduling in-office appointments electronically.

Furthermore, the patent also describes a system for personalizing a care program for a telehealth platform, comprising a processor and computer-readable medium with program instructions. The system mirrors the method by displaying questions, receiving user responses, assigning concerns and severity scores, using a segmentation model for recommendations, and notifying users. It also incorporates features such as utilizing a trained ML model, feedback system for training, receiving health data from sensors, displaying interactive content, prompting communication sessions, and scheduling appointments. The system's program instructions can compute compliance scores based on user adherence to the program and prompt users to schedule communication sessions with healthcare providers when necessary, enhancing the personalized care experience for telehealth platform users.

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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