Machine-learning framework for coordinating and optimizing healthcare resource utilization and delivery of healthcare services across an integrated healthcare system
US11264128B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 2019 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | May 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/24
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Techniques are described optimizing operations of an integrated healthcare system in real-time using a machine learning framework. In one embodiment, a method comprises monitoring, by a system operatively coupled to a processor, activity of healthcare workers of a healthcare system over a defined timeframe in association with operation of the healthcare system, including monitoring performance of healthcare tasks scheduled for performance over the defined timeframe. The method further comprises determining, by the system based on the monitoring, a timeslot within the defined timeframe in which a healthcare worker of the healthcare workers is not performing, anticipated to perform, or scheduled to perform a healthcare task of the healthcare tasks, and determining, by the system, a supplemental healthcare task for performance by the healthcare worker during the timeslot.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.