Channel-specific engagement machine learning architecture
US11545260B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 11, 2020 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | May 11, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L65/1066
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A computer-implemented method includes generating an intervention model for a population of users based on engagement data indicating successfulness of prior interventions for each of the population of users. Each prior intervention corresponds to one of multiple engagement channels, and the intervention model includes multiple channel-specific models. The method includes supplying data related to a first user as input to the intervention model to determine multiple channel-specific intervention expectations. Each channel-specific intervention expectation indicates a likelihood that the first user will take action in response to an intervention being executed using the corresponding engagement channel. The method includes determining a likelihood of a gap in care for the first user, and in response to the gap in care likelihood exceeding a minimum threshold, selecting a first intervention according to the channel-specific intervention expectation that has a highest determined value, and scheduling the selected first intervention for execution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.