Granted Patent B2

US 12,285,242 · App. 18/391,515 · Granted Apr 29, 2025

Inventors: Johannes Anton Thüring (Frechen, DE); Arthur Uber, III (Pittsburgh, PA); David Griffiths (Pittsburgh, PA); Michael McDermott (Berlin, DE); Charles Lang (Pittsburgh, PA); Linda Van Roosmalen (Gibsonia, PA); Barry Skirble (Allison Park, PA); Adam Czibur (Pittsburgh, PA); Daniel Moore (Pittsburgh, PA); Vincenzo Caruso (Ashbury, AU); Brandon Clarke (Boardman, OH)

Assignee: BAYER HEALTHCARE LLC

A61B5/0205A61B5/4848A61B5/7275A61M5/007A61M5/1723A61B5/28A61B5/296A61M2205/33G16H50/30

Abstract

Claims (36)

1. A system comprising:

at least one processor programmed and/or configured to:

obtain patient data associated with a patient;

determine, based on the patient data, an initial risk prediction for the patient associated with a fluid injection to be administered to the patient, wherein the initial risk prediction includes a probability that the patient experiences an extravasation in response to the fluid injection;

provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction;

determine, using at least one sensor before the fluid injection, sensor data associated with the patient during a test injection administered to the patient,

determine, based on the sensor data determined during the test injection, a test prediction, wherein the test prediction includes a probability that the patient experiences the extravasation in response to the fluid injection;

provide, to the user device, the test prediction;

determine, using the at least one sensor after the fluid injection has started, the sensor data associated with the patient;

determine, based on the sensor data determined after the fluid injection is started, a current risk prediction for the patient associated with the fluid injection, wherein the current risk prediction includes a probability that the patient experiences the extravasation in response to the fluid injection; and

provide, to the user device, the current risk prediction.

2. The system of claim 1 , wherein the at least one sensor includes three sound or vibration sensors placed in three different locations on an extremity of the patient proximate an injection site for the test injection, and wherein the at least one processor is further programmed and/or configured to:

combine, through triangulation, from each sound or vibration sensor of the three sound or vibration sensors, a data stream of the sensor data to create a combined data stream; and

determine, based on the combined data stream, the test prediction.

3. The system of claim 1 , wherein the at least one sensor is further configured to:

determine, before the test injection, the sensor data, wherein determining the initial risk prediction is further based on the sensor data determined before the test injection.

4. The system of claim 1 , wherein the at least one sensor is further configured to:

determine, during the fluid injection, the sensor data, and

wherein the at least one processor is further programmed and/or configured to:

determine, based on the sensor data determined during the fluid injection, the current risk prediction; and

provide, to the user device, during the fluid injection, the current risk prediction.

5. A method comprising:

obtaining, with at least one processor, patient data associated with a patient;

determining, with the at least one processor, based on the patient data, an initial risk prediction for the patient associated with a fluid injection to be administered to the patient, wherein the initial risk prediction includes a probability that the patient experiences an extravasation in response to the fluid injection;

providing, with the at least one processor, to a user device, before the fluid injection is administered to the patient, the initial risk prediction;

determining, with at least one sensor before the fluid injection, sensor data associated with the patient during a test injection administered to the patient;

determining, with the at least one processor, based on the sensor data determined during the test injection, a test prediction, wherein the test prediction includes a probability that the patient experiences the extravasation in response to the fluid injection;

providing, with the at least one processor, to the user device, the test prediction;

determining, with the at least one sensor, after the fluid injection is started, the sensor data associated with the patient;

determining, with the at least one processor, based on the sensor data determined after the fluid injection is started, a current risk prediction for the patient associated with the fluid injection, wherein the current risk prediction includes a probability that the patient experiences the extravasation in response to the fluid injection; and

providing, with the at least one processor, to the user device, the current risk prediction.

6. The method of claim 5 , wherein the at least one sensor includes three sound or vibration sensors placed in three different locations on an extremity of the patient proximate an injection site for the test injection, and wherein the method further includes:

combining, with the at least one processor, through triangulation, from each sound or vibration sensor of the three sound or vibration sensors, a data stream of the sensor data to create a combined data stream; and

determining, with the at least one processor, based on the combined data stream, the test prediction.

7. The method of claim 5 , further comprising:

determining, with the at least one sensor, before the test injection, the sensor data, wherein determining the initial risk prediction is further based on the sensor data determined before the test injection.

Assignments (3)

Continuity (6)

References Cited (136)