Systems and methods for predicting relative patient hazards using pharmaceutical adherence predictive models
US12159721B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 16, 2020 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Sep 29, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A modeling computing device for predicting relative patient hazards based on predicted patient pharmaceutical adherence is provided. The modeling computing device includes a processor configured to receive a set of adherence data associated with adherence to a pharmaceutical prescription by a patient. The processor is also configured to determine a set of predictive adherence scores and determine a variability score associated with the set of predictive adherence scores. The processor is further configured to integrate the set of predictive adherence scores and the variability score into a feature value. The processor is also configured to identify a hazard regression model and to apply the feature value to the hazard regression model to generate an integrated patient hazard model. The processor is also configured to process the integrated patient hazard model to determine a risk level associated with the patient, and transmit an alert based on the risk level.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.