Back to results
US 2021/0202098 A1Published application
Creation and management of digital twins of healthcare patients
Assigneehc1.com Inc.
InventorsBradley A. Bostic, Charles J. Clarke, Ryan C. Kennedy, Peter J. Plantes, Charles David Girard, JR.
Life of this patent
Estimating the term…
Abstract
Systems and methods are provided for creating and using healthcare patients' digital twins based on data related to a patient, and a plurality of patient populations, to monitor and manage healthcare services by forming a digital twin of individual patients based on their health information, where the digital twin of a patient is a digital representation of at least one health state of the patient.
Claims20
A computerized method for patient digital twin management, the method comprising:
- receiving health information from a plurality of healthcare communication sources, the health information including data related to an individual patient and data related to a first population of patients and a second population of patients;
- forming a digital twin of said individual patient based on the health information related to said individual patient, wherein the digital twin of said individual patient is a digital representation of at least one health state of said individual patient;
- forming digital twins of said first and second populations of patients based on the health information related to at least one of said first and second population of patients, wherein the digital twins are a digital representation of at least one health attribute of at least one of said first and second population of patients;
- and
- presenting the digital twin of said individual patient and the digital twin of at least one of said first population of patients and second population of patients.
2 more elements
A method for patient digital twin management, the method comprising:
- receiving health information from a plurality of healthcare communication sources, the health information including data related to a plurality of patients and data related to a first population of patients and a second population of patients;
- forming a digital twin of each of said plurality of patients based on the health information related to said plurality of patients, wherein the digital twin of each of said plurality of patients is a digital representation of at least one health state of said plurality of patients;
- forming digital twins of said first and second populations of patients based on the health information related to at least one of said first and second population of patients, wherein the digital twins are a digital representation of at least one health attribute of at least one of said first and second population of patients;
- and
- inferring a patient health state, using a machine learning module, based on a degree of correspondence among at least one of the digital twins based on the plurality of patients and at least one digital twin of said first and second population of patients.
- wherein the patient health state inference is based at least in part on a set of patient test data comprising a machine learning module for analyzing a set of at least one of laboratory testing data including at least one corresponding outcome, a correlation module for correlating the outcome with signals from the patient test data, analyzing the testing data corresponding to a set of patients, and providing a listing of a set of patients most likely to have a specified pathology.
3 more elements
Dependencies are inferred from the claim text.