Learning filter for the detection of indicators in healthcare data
US11532398B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 29, 2019 |
| Grant date | Dec 20, 2022 |
| Priority date | — |
| Expiry date | May 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H80/00
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.