System, device and method for safeguarding the wellbeing of patients for fluid injection

Patent metadata

Field	Value
Publication number	US-2024115143-A1
Application number	US-202318391515-A
Country	US
Kind code	A1
Filing date	Dec 20, 2023
Priority date	Apr 30, 2020
Publication date	Apr 11, 2024
Grant date	—

Abstract

A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event 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, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.

First claim

1 . A system comprising:
at least one processor programmed and/or configured to:
obtain patient data associated with the 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 - 8 . (canceled)

9 . 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.

10 . 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.

11 . 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.

12 - 56 . (canceled)

57 . 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.

58 - 62 . (canceled)

63 . The method of claim 57 , 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.

64 . The method of claim 57 , 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.

65 - 89 . (canceled)

Assignees

• Bayer Healthcare Llc

Inventors

• Thüring Johannes Anton
• Uber Iii Arthur
• Griffiths David
• Mcdermott Michael
• Lang Charles
• Van Roosmalen Linda
• Skirble Barry
• Czibur Adam
• Moore Daniel
• Caruso Vincenzo
• Clarke Brandon

Classifications

• A61B5/0205 Primary

  Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition · CPC title

• A61B5/4848

  Monitoring or testing the effects of treatment, e.g. of medication · CPC title

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

• A61M5/007

  for contrast media · CPC title

• A61M5/1723

  using feedback of body parameters, e.g. blood-sugar, pressure (measurement of body parameters A61B5/00) · CPC title