The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 16, 2025
Filed:
Dec. 22, 2021
GE Precision Healthcare Llc, Milwaukee, WI (US);
Mass General Brigham Incorporated, Boston, MA (US);
The General Hospital Corporation, Boston, MA (US);
The Brigham and Women's Hospital, Inc., Boston, MA (US);
Hariharan Ravishankar, Bengaluru, IN;
Abhijit Patil, Bengaluru, IN;
Rohit Pardasani, Bengaluru, IN;
Dirk Johannes Varelmann, Newton, MA (US);
Pankaj Sarin, Cambridge, MA (US);
Marcio Aloisio Bezerra Cavalcanti Rockenbach, Boston, MA (US);
Quanzheng Li, Belmont, MA (US);
GE PRECISION HEALTHCARE LLC, Waukesha, WI (US);
MASS GENERAL BRIGHAM INCORPORATED(B), Boston, MA (US);
The General Hospital Corporation, Boston, MA (US);
The Brigham and Women's Hospital, Inc., Boston, MA (US);
Abstract
Systems and techniques for monitoring, predicting and/or alerting for short-term oxygen support needs of patients are presented. A system can include a data collection component that receives multimodal patient data for a patient having a respiratory condition in association with monitoring and treating the respiratory condition in real-time, the multimodal patient data comprising at least physiological data regarding physiological parameters tracked for the patient over a period of time, and current oxygen support data regarding a current oxygen support mechanism of the patient. The system can further include an oxygen support forecasting component that processes the multimodal patient data using an oxygen support forecasting model to generate an output forecast that indicates whether a change to the current oxygen support mechanism is recommended for the patient within a defined upcoming timeframe.