Machine-learning driven real-time data analysis
US12039613B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 1, 2023 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Aug 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H20/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A data processing system for insurance claims analysis and adjudication implements obtaining policy coverage information for each of a plurality of insurance policies and insurance claim information associated with a plurality of insurance claims associated with an insured user, analyzing the insurance claim information using a first machine learning to obtain event-related claim grouping information; analyzing the event-related claim grouping information and the standardized policy information using the second machine learning model to obtain coverage prediction information comprising a prediction, for each event of the one or more events, identifying a respective insurance policy of the plurality of insurance policies likely to cover the one or more claims associated with each event, the second machine learning model being trained using second training data formatted according to the standard schema; and providing, via a network connection, the coverage prediction information to a computing device associated with the insured user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.