System and Method for Determining a Patient Clinical Status

• US 20120095304A1
• Filed: 10/26/2011
• Published: 04/19/2012
• Est. Priority Date: 12/15/2005
• Status: Abandoned Application

• Current Assignee: Bernoulli Enterprise, Inc. (Koninklijke Philips N.V.)
• Original Assignee: Cardiopulmonary Corporation (Koninklijke Philips N.V.)
• Inventors: Biondi, James W.
• Application Number:
  US13/282,259
• Publication Number:
  US 20120095304A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/082 Evaluation by breath analysis, e.g. determination of the chemical composition of exhaled breath A61B5/083, A61B5/091 take precedence
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/201 Assessing renal or kidney functions
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/33 specially adapted for cooperation with other devices
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A system and method for displaying a patient clinical status. In one embodiment, the system includes a plurality of sensors, each sensor measuring a respective patient parameter; a processor in communication with each of the plurality of sensors, and a display in communication with the processor. The processor receives the patient parameters and generates a patient clinical status in response to the trends of a plurality of patient parameters.

Claims

1. A system for displaying a patient clinical status comprising:

a plurality of sensors, each sensor measuring a respective patient parameter;

a processor in communication with each of the plurality of sensors, the processor receiving the patient parameters and generating a patient clinical status in response to the trend analysis of plurality of patient parameters; and

a display in communication with the processor, the display displaying the patient clinical status.

2. The system of claim 1 wherein the patient clinical status is a predictive outcome.

3. The system of claim 1 wherein the patient clinical status is generated in response to a plurality of trend lines each associated with a patient parameter.

4. The system of claim 1 wherein the plurality of patient parameters comprise temperature, blood pressure, pulse rate, respiration rate, blood oxygen level, respiration tidal volume, expired respiratory gas, urine output, clinical blood chemistries, or other clinical signs or physiologic parameters.

5. The system of claim 1 wherein the patient clinical status indicator is calculated from a plurality of parameters in a moving value analysis.

6. A method for displaying a patient clinical status, the method comprising the steps of:

measuring a plurality of patient parameters;

generating a patient clinical status in response to the trends of a plurality of patient parameters; and

displaying the patient clinical status.

7. The method of claim 6 wherein the step of generating the patient clinical status further uses a plurality of trending values each associated with a respective patient parameter.

8. The method of claim 6 wherein the plurality of patient parameters comprise temperature, blood pressure, pulse rate, respiration rate, blood oxygen level, respiration tidal volume, expired respiratory gas, urine output, clinical blood chemistries, or other clinical signs or physiologic parameters.

9. A system for displaying a patient clinical status comprising:

a plurality of sensors, each sensor measuring a respective patient parameter;

a processor in communication with each of the plurality of sensors, the processor receiving the patient parameters and generating a patient clinical status in response to the trend analysis of plurality of patient parameters; and

a display in communication with the processor, the display displaying the patient clinical status,

wherein the plurality of patient parameters comprise temperature, blood pressure, pulse rate, respiration rate, blood oxygen level, respiration tidal volume, expired respiratory gas, urine output, clinical blood chemistries, or other clinical signs or physiologic parameters, and

wherein the patient clinical status is generated in response to a plurality of trend lines each associated with a respective plurality of patient parameters.