Methods and systems for predicting adherence to Multiple Sclerosis treatment
US10691776B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2013 |
| Grant date | Jun 23, 2020 |
| Priority date | — |
| Expiry date | Aug 13, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Methods and systems for predicting adherence to Multiple Sclerosis treatment are described. In one embodiment, a member undergoing a Multiple Sclerosis treatment is identified. Member data associated with the member undergoing the Multiple Sclerosis treatment is accessed. Pre-prediction time period adherence data associated with the member, member prescription data associated with the member, member family data associated with the member, and member demographic data associated with the member are determined based on the member data associated with the member. A likelihood that the member will be adherent to the Multiple Sclerosis treatment over a prediction time period is determined based on the pre-prediction time period adherence data, member prescription data, member family data, and member demographic data. Other methods and systems are described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.