20240029849. MACRO-PERSONALIZATION ENGINE FOR A VIRTUAL CARE PLATFORM simplified abstract (TELADOC HEALTH, INC.)

MACRO-PERSONALIZATION ENGINE FOR A VIRTUAL CARE PLATFORM

Organization Name

TELADOC HEALTH, INC.

Inventor(s)

Julia Hoffman of San Jose CA (US)

MACRO-PERSONALIZATION ENGINE FOR A VIRTUAL CARE PLATFORM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240029849 titled 'MACRO-PERSONALIZATION ENGINE FOR A VIRTUAL CARE PLATFORM

Simplified Explanation

The abstract describes a computer-implemented method for personalizing a care program for a telehealth platform. Here are the key points:

• Display a sequence of questions on a user device's display, including personal needs questions and clinical survey questions.
• Receive responses from the user to each question via an input device of the user device.
• Store the responses in the user device's memory.
• Assign a primary concern to the user based on a response to at least one question.
• Assign a severity score to the user based on the responses to the clinical survey.
• Use a segmentation model to assign a recommended program to the user based on the primary concern and severity score.
• Notify the user of the recommended program.

Potential applications of this technology:

• Personalizing care programs in telehealth platforms for individuals based on their specific needs and clinical survey responses.
• Improving the efficiency and effectiveness of telehealth services by tailoring care programs to individual users.

Problems solved by this technology:

• Overcoming the challenge of providing personalized care in telehealth platforms where there is limited direct interaction between healthcare providers and users.
• Addressing the need for efficient and accurate assessment of user needs and severity in order to recommend appropriate care programs.

Benefits of this technology:

• Enhanced user experience by providing personalized care programs that address their specific concerns and needs.
• Improved healthcare outcomes by ensuring that users receive care programs that are tailored to their severity levels.
• Increased efficiency in telehealth services by automating the process of personalizing care programs based on user responses.

Original Abstract Submitted

a computer-implemented method for personalizing a care program for a telehealth platform includes displaying a sequence of questions on a display of a user device including a plurality of personal needs questions and a plurality of questions associated with a clinical survey, receiving responses from a user to each question in the sequence of questions via an input device of the user device, storing the responses in a memory of the user device, assigning a primary concern to the user based on a response to at least a first question in the sequence of questions, assigning a severity score to the user based on the responses to the clinical survey, using a segmentation model to assign a recommended program to the user based on the primary concern and the severity score of the user, and notifying the user of the recommended program.