IP Library Granted Patent US 11,651,857
Granted Patent B2
US 11,651,857 · App. 16/921,919 · Granted May 16, 2023

Methods and apparatus to capture patient vitals in real time during an imaging procedure

Inventors: Katelyn Rose Nye (Waukesha, WI); Gireesha Rao (Waukesha, WI)
Assignee: General Electric Company
G16H30/40G06T7/0012G16H40/60G16H50/20G06T2207/10116G06T2207/20212
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Quick Facts
Patent No.
US 11,651,857
App. No.
16/921,919
Granted
May 16, 2023
Kind
B2
Abstract

Apparatus, systems, and methods to capture and combine patient vitals and image data are disclosed. An example apparatus includes an imaging device to capture imaging data of a patient; a patient monitor to capture non-imaging data of the patient; and a communication interface between the imaging device and the patient monitor to route the non-imaging data to the imaging device. The example imaging device is to combine the non-imaging data with the imaging data to form a combined data set to be processed to determine a clinical outcome.

Claims (34)

1. An apparatus comprising:

an imaging device, triggered based on a patient record, to capture imaging data of a patient, the imaging device including at least one of an X-ray imaging device, an ultrasound imaging device, or a magnetic resonance imaging device;

a patient monitor to capture non-imaging data of the patient; and

a communication interface between the imaging device and the patient monitor to route the non-imaging data to the imaging device,

wherein the imaging device is to combine the non-imaging data with the imaging data to form a combined data set to be processed in a context formed from patient history of the patient record to determine a clinical outcome.

2. The apparatus of claim 1 , wherein the imaging data and the non-imaging data are captured at a same time.

3. The apparatus of claim 1 , wherein the communication interface between the imaging device and the patient monitor is bi-directional.

4. The apparatus of claim 1 , wherein the communication interface is a wireless communication interface between an imaging device receiver and a patient monitor transmitter.

5. The apparatus of claim 1 , wherein the imaging device includes an artificial intelligence model to process the combined data set to determine the clinical outcome.

6. The apparatus of claim 5 , wherein the artificial intelligence model is a first artificial intelligence model, and wherein the imaging device includes a second artificial intelligence model to process the captured non-imaging data for combination with the imaging data.

7. The apparatus of claim 1 , wherein the combined data set is formed as a composite image with the non-imaging data embedded in an image formed from the imaging data.

8. The apparatus of claim 1 , wherein the imaging device includes at least one of a camera or a microphone, and wherein the non-imaging data is captured by the imaging device using at least one of the camera or the microphone.

9. The apparatus of claim 1 , wherein the imaging data includes x-ray imaging data and the non-imaging data includes patient oxygen saturation information.

10. The apparatus of claim 1 , wherein the clinical outcome includes a trend in at least one of a condition or a disease.

11. The apparatus of claim 10 , wherein the trend is displayed in conjunction with an image formed from the imaging data.

12. A non-transitory computer readable storage medium comprising instructions that, when executed, cause at least one imaging device processor to at least:

capture, triggered based on a patient record, imaging data of a patient;

capture non-imaging data of the patient via a communication interface between the at least one imaging device processor and a patient monitor;

combine the non-imaging data with the imaging data to form a combined data set; and

facilitate processing of the combined data set in a context formed from patient history of the patient record to determine a clinical outcome,

wherein the imaging device processor is incorporated into at least one of an X-ray imaging device, an ultrasound imaging device, or a magnetic resonance imaging device.

13. The computer readable storage medium of claim 12 , wherein the imaging data and the non-imaging data are captured at a same time.

14. The computer readable storage medium of claim 12 , wherein the communication interface is a wireless communication interface between an imaging device receiver and a patient monitor transmitter.

15. The computer readable storage medium of claim 12 , wherein the at least one processor interacts with an artificial intelligence model to process the combined data set to determine the clinical outcome.

16. The computer readable storage medium of claim 15 , wherein the artificial intelligence model is a first artificial intelligence model, and wherein the at least one processor interacts with a second artificial intelligence model to process the captured non-imaging data for combination with the imaging data.

17. The computer readable storage medium of claim 12 , wherein the combined data set is formed as a composite image with the non-imaging data embedded in an image formed from the imaging data.

18. The computer readable storage medium of claim 12 , wherein the non-imaging data is captured using at least one of a camera or a microphone.

19. A method comprising:

capturing, using an imaging device and triggered based on a patient record, imaging data of a patient;

capturing, using the imaging device, non-imaging data of the patient via a communication interface between the imaging device and a patient monitor;

combining, using the imaging device, the non-imaging data with the imaging data to form a combined data set; and

facilitating processing of the combined data set in a context formed from patient history of the patient record to determine a clinical outcome,

wherein the imaging device includes at least one of an X-ray imaging device, an ultrasound imaging device, or a magnetic resonance imaging device.

20. The method of claim 19 , wherein the processing includes using at least one artificial intelligence model to determine the clinical outcome from the combined data set.

Assignments (2)
NUNC PRO TUNC ASSIGNMENT Recorded May 8, 2025
From: GENERAL ELECTRIC COMPANY
To: GE PRECISION HEALTHCARE LLC
Reel/Frame 071225/0218 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 7, 2020
From: NYE, KATELYN ROSE; RAO, GIREESHA
To: GENERAL ELECTRIC COMPANY
Reel/Frame 053134/0749 →
Continuity (2)
Continuation In Part 16197795 · Nov 21, 2018
Related Publication 20200335205A1 · Oct 22, 2020