REAL TIME CLINICAL DECISION SUPPORT SYSTEM HAVING LINKED REFERENCES

• US 20130253348A1
• Filed: 05/06/2013
• Published: 09/26/2013
• Est. Priority Date: 10/08/2009
• Status: Active Grant

• Current Assignee: Biointellisense, Inc., Board of Regents of the University of Michigan (University of Michigan)
• Original Assignee: Board of Regents of the University of Michigan (University of Michigan)
• Inventors: TREMPER, KEVIN K.
• Granted Patent: US 8,936,555 B2
• Time in Patent Office: Days
• US Class Current: 600/508
• 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 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/744 Displaying an avatar, e.g. an animated cartoon character
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• 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

Abstract

A clinical decision support system for patient treatment having a monitoring device operably coupled to a patient. The monitoring device outputs a monitoring signal in response to a measured parameter of the patient. A controller receives the monitoring signal and outputs a display signal. The controller further compiles clinical documentation relating to the patient based on the monitoring signal and outputs a documentation signal related thereto. A display device then receives the display signal and the documentation signal and displays the same in connection with various indicia thereby displaying both the monitored signal and associated clinical documentation.

Claims

1. A clinical decision support system for patient treatment comprising:

a monitoring device operably coupled to a patient, said monitoring device outputting a monitoring signal in response to a measured parameter of the patient;

a controller receiving said monitoring signal and outputting a display signal, said controller determining said display signal based on an automated determination, said controller compiling clinical documentation relating to the patient based on said monitoring signal and outputting a documentation signal related thereto; and

a display device operably coupled to said controller and receiving said display signal and said documentation signal, said display device having a plurality of display indicia where at least one of the plurality of display indicia is responsive to said display signal and at least one of the plurality of display indicia is responsive to said documentation signal thereby displaying said clinical documentation.

2. The clinical decision support system according to claim 1 wherein said controller further continuously calculates a secondary, non-measurable parameter of the patient based on said measured parameter.

3. The clinical decision support system according to claim 1 wherein at least one of said plurality of display indicia is substantially shaped as a readily-identifiable organ and operable to actively display a condition indicative of associated organs of the patient.

4. The clinical decision support system according to claim 1 wherein said controller compiling said clinical documentation relating to the patient comprises said controller compiling said clinical documentation in response to said secondary, non-measurable parameter.

5. The clinical decision support system according to claim 1 wherein said controller compiling said clinical documentation relating to the patient comprises said controller compiling said clinical documentation in response to a type of caregiver providing the patient.

6. The clinical decision support system according to claim 1 wherein said controller compiling said clinical documentation relating to the patient comprises said controller compiling said clinical documentation in response to a location of the patient within a care facility.

7. The clinical decision support system according to claim 1 wherein said controller compiling said clinical documentation relating to the patient comprises said controller compiling said clinical documentation in response to a medical-related history of the patient derived from an electronic source other than said monitoring signal.

8. The clinical decision support system according to claim 1 wherein said controller compiling said clinical documentation relating to the patient comprises said controller compiling said clinical documentation in response to a medical system associated with the patient.

9. The clinical decision support system according to claim 1 wherein said controller compiling said clinical documentation relating to the patient comprises said controller automatically compiling said clinical documentation.

10. The clinical decision support system according to claim 1 wherein said controller compiling said clinical documentation relating to the patient comprises said controller automatically prioritizing said clinical documentation.

11. The clinical decision support system according to claim 1 wherein said controller compiling said clinical documentation relating to the patient comprises said controller compiling said clinical documentation in response to input from a caregiver providing the patient.

12. The clinical decision support system according to claim 1 wherein said controller actively accesses a medical-related history of the patient derived from an electronic source other than said monitoring signal to determine said automated calculation.

13. The clinical decision support system according to claim 1 wherein each of said plurality of display indicia is dynamically animated to illustrate real-time physiological movement of an organ of the patient.

14. The clinical decision support system according to claim 1 wherein said at least two of said plurality of display indicia are chosen from a group consisting of a heart, brain, lung, body, kidney, liver, and skin.

15. The clinical decision support system according to claim 2 wherein said secondary, non-measurable parameter of the patient is a heart filling level.

16. The clinical decision support system according to claim 2 wherein said secondary, non-measurable parameter of the patient is an input and an output of the patient'"'"'s heart.

17. The clinical decision support system according to claim 2 wherein said controller determines a patient-based baseline value for at least one of said measured parameter and said second, non-measurable parameter, said controller outputting an alert via said display signal when a subsequent measured parameter exceeds a predetermined range based on said patient-based baseline value.

18. The clinical decision support system according to claim 2 wherein said controller determines a level of anesthesia in the patient based on at least one of said measured parameter and said secondary, non-measurable parameter.

19. The clinical decision support system according to claim 1 wherein said controller determines a possibility of complications based on accumulation of risk factors and said measured parameter.