Methods for evaluating clinical comparative efficacy using real-world health data and artificial intelligence
US11887736B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 12, 2021 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Nov 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems and methods for evaluating clinical comparative efficacy using real-world health data are provided herein. The method includes obtaining health trajectories for members of a healthcare system. The method also includes identifying index events in the health trajectories, and segmenting the health trajectories with index events into sub-trajectories such that each sub-trajectory ends at a different index event. The method also includes generating a digital fingerprint for each sub-trajectory by either (i) generating a raw data vector, or (ii) applying representation learning to generate an embedding vector. The method also includes identifying sub-trajectories that are similar to a patient sub-trajectory by either (i) performing a stratified search, or (ii) performing a nearest-neighbor search on the embedding vectors of the members. The method also includes ranking treatment strategies for the patient based on outcomes of the treatment strategies, according to the identified similar sub-trajectories.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.