Machine learning risk factor identification and mitigation system
US10679299B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 25, 2017 |
| Grant date | Jun 9, 2020 |
| Priority date | — |
| Expiry date | May 25, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/08
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A system performing machine learning to predict and identify claims that have a high likelihood of migrating across a predetermined risk threshold and to generate intervention strategies to mitigate the likelihood of migration. The processing system includes a computer server, database engine, computer programming instructions, network connectivity, associated claims, payment, medical, pharmacy and other relevant data, a plurality of statistical and machine learning algorithms and a method for electronically displaying and attaching the results to a business process. The system will use all available data to analyze the medical treatment pattern of a claimant and based on automated findings make recommendations as to appropriate interventions to positively impact claims costs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.