Machine-learning driven data analysis and reminders

US12056745B2 · kind B2 · utility

Assignee

• Nayya Health, Inc. · US

Inventors

• Sina Chehrazi · New York, US
• John Joseph Glorioso, Jr. · Laurel, US
• Motaz Abdullah Balghonaim · Coquitlam, CA
• Edward David Rothschild · Baltimore, US
• Akash Magoon · New York, US
• Aman Magoon · Fallston, US

Key dates

• Filing date: Sep 10, 2021
• Grant date: Aug 6, 2024
• Expiry date: Sep 10, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q40/08
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A data processing system for machine-learning driven data analysis and reminders implements obtaining an electronic copy of demographic information and an electronic copy of insurance and benefits information associated with a user; providing the demographic information and the insurance and benefits information to a first machine learning model; analyzing the demographic information and the insurance and benefits information with the first machine learning model to output a first benefits utilization prediction that the one or more benefits are available to the user; providing the first benefits utilization prediction as an input to a recommendation engine; generating, using the recommendation engine, a benefits usage summary recommendation report that presents the information regarding the one or more benefits available to the user based on the first benefits utilization prediction; and causing a user interface of a display of a computing device to present the benefits usage summary recommendation report.