Pharmacy benefit management machine learning systems and methods
US12423753B2 · kind B2 · utility
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2References
20Claims
0Family size
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Key dates
| Filing date | Nov 11, 2022 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Oct 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning process for use with a pharmacy benefits management system. The machine learning process identifies a first predicted set of drug benefit claims impacted by a pricing error, reprices a sample of the first predicted set of drug benefit claims to adjust for the error, and trains a predictive model as a function of the repriced sample. Based on the trained model, the machine learning process predicts a second predicted set of drug benefit claims impacted by the error and initiates automatic repricing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.