Intensive care information graphical display

• US 5,921,920 A
• Filed: 12/12/1996
• Issued: 07/13/1999
• Est. Priority Date: 12/12/1996
• Status: Expired due to Term

• Current Assignee: The Trustees Of The University Ofpennsylvania
• Original Assignee: Trustees Of The University Of Pennsylvania (University of Pennsylvania)
• Inventors: Marshall, Bryan E., Hanson, C. William, Marshall, Carol
• Primary Examiner(s): GILBERT, SAMUEL G
• Application Number:
  US08/764,493
• Time in Patent Office: 943 Days
• Field of Search: 600/300, 600/301, 600/484, 600/523-525, 600/529, 600/920-925, 128/903, 128/904
• US Class Current: 600/300
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• 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 5/08 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 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61M 2205/505 Touch-screens; Virtual keyboard or keypads; Virtual buttons; Soft keys; Mouse touches
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

This invention describes a patient monitoring system which creates graphical displays of various pulmonary and other patient functions so that physicians and clinicians can quickly and accurately make decisions about the patient'"'"'s care based on the graphical displays while in the intensive care unit. Patient functions are monitored and pulmonary models are implemented to graphically reveal relationships between the basic information input to the system from monitoring devices and the models so that physicians can utilize the revealed relationships to make informed accurate diagnoses and design therapeutic plans concerning the patient.

Claims

1. A method of graphically displaying patient information to a clinician on a display, comprising the steps of:

gathering clinical patient data from patient monitoring equipment;

inputting static patient data representing characteristics of the patient;

storing said clinical patient data and said static patient in a database;

processing said clinical patient data and said static patient data to determine values of derived patient parameters indicative of the patient'"'"'s physical condition;

displaying said derived patient parameters;

accepting simulated changes to said clinical patient data from a clinician;

determining anticipated changes to said derived patient parameters caused by said simulated changes to said clinical patient data; and

displaying the anticipated changes to said derived patient parameters, whereby the relationships among the derived patient parameters may be determined by changes in displayed values of said derived patient parameters.

2. A method as in claim 1, comprising the further step of displaying the derived patient parameters with predicted normal values of said patient parameters derived from said clinical patient data and said static patient data in said database.

3. A method as in claim 1, comprising the further steps of grouping the derived patient parameters by body function, storing the derived patient parameters in said database as historical trend data, and displaying the grouped derived patient parameters with corresponding historical trend data stored in said database.

4. A method as in claim 3, comprising the further step of displaying said grouped derived patient parameters with predicted normal values for said derived patient parameters determined from said historical trend data.

5. A method as in claim 4, wherein said grouped derived patient parameters and said predicted normal values for said derived patient parameters are displayed in respective radial plots which indicate the changes in the derived patient parameters and the relationships of these values with respect to predicted normal values over time and over changes in the patient'"'"'s condition.

6. A monitoring system which graphically displays patient information to a clinician, comprising:

a patient database;

at least one patient monitor which gathers clinical patient data from the patient and stores said clinical patient data in said database;

an input device which inputs static patient data representing characteristics of the patient into said database;

a processor which processes said clinical patient data and said static patient data to determine values of derived patient parameters indicative of the patient'"'"'s physical condition;

a graphical display which displays said derived patient parameters; and

an input interface which accepts simulated changes to said clinical patient data from a clinician,

wherein said processor determines anticipated changes to said derived patient parameters caused by said simulated changes to said clinical patient data and provides the changed derived patient parameters to said display whereby the relationships among the derived patient parameters may be determined by the indicated changes in said derived patient parameters.

7. The monitoring system of claim 6, wherein said processor calculates predicted normal values of said patient parameters derived from said clinical patient data and said static patient data in said database and provides the predicted normal values to said display.

8. The monitoring system of claim 6, wherein said processor groups the derived patient parameters by body function and stores the derived patient parameters in said database as historical trend data, and said display displays the grouped derived patient parameters with corresponding historical trend data stored in said database.

9. The monitoring system of claim 8, wherein said processor determines predicted normal values of said patient parameters derived from said clinical patient data and said static patient data in said database and provides the predicted normal values to said display for display with said grouped derived patient parameters.

10. The monitoring system of claim 9, wherein said grouped derived patient parameters and said predicted normal values for said derived patient parameters are displayed by said display in respective radial plots which indicate the changes in the derived patient parameters and the relationships of these values with respect to predicted normal values over time and over changes in the patient'"'"'s condition.