Real time clinical decision support system having medical systems as display elements

• US 9,211,096 B2
• Filed: 05/06/2013
• Issued: 12/15/2015
• 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., Adams, Justin
• Primary Examiner(s): Layno, Carl H
• Assistant Examiner(s): PIATESKI, ERIN M
• Application Number:
  US13/887,646
• Publication Number:
  US 20130245481A1
• Time in Patent Office: 953 Days
• Field of Search: 600/508
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0276 Determining malfunction
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• 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 5/4821 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 5/743 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 5/7445 Display arrangements, e.g. multiple display units
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A clinical decision support system for patient treatment that incorporates patient data to display information in readily identifiable icons for vital organs and medical systems, and in a useable, real-time, updated fashion that extracts data from the medical history, the current medical management, the current physiologic monitors, and associated medical systems to produce warnings and alerts to enable caregivers to be made aware of physiologic systems at risk. These data are not only presented, but also use real-time queries and calculations to enable caregivers to have the types of data that would traditionally assist them in patient care but only be available by reviewing the medical literature and/or doing retrospective individual calculations while providing patient care.

Claims

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

a monitoring system operably coupled to a patient, said monitoring system passively engaging with the patient, said monitoring system outputting a first physiological monitoring signal in response to a measured parameter of the patient, said monitoring system further operably coupled to a medical system associated with the patient, said medical system actively engaging with the patient to effect a physiological response in the patient, said monitoring system outputting a second physiological monitoring signal in response to a detected condition of the medical system;

a controller receiving said first and second physiological monitoring signals and continuously calculating a secondary, non-measurable parameter of the patient based on said measured parameter, said controller performing an automated calculation and outputting a display signal in response to said automated calculation for use in patient treatment decision-making, said automated calculation being determined by said controller based on at least said first physiological monitoring signal, said secondary, non-measurable parameter, data derived from the patient'"'"'s previously-recorded demographic data, and health data impacting an interpretation of said first and second physiological monitoring signals derived from an electronic source other than said first physiological monitoring signal and said medical system; and

a display device operably coupled to said controller and receiving said display 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, wherein at least one of said plurality of display indicia being substantially shaped as a readily-identifiable organ and operable to actively display a condition indicative of an associated organ of the patient.

2. 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 medical system and operable to actively display a condition indicative of the medical system operably coupled to the patient.

3. The clinical decision support system according to claim 2 wherein said condition indicative of the medical system is an operational state condition.

4. The clinical decision support system according to claim 1 wherein each of said plurality of display indicia is selectively dynamically animated to illustrate a real-time condition indicative of the medical system in response to the second monitoring signal.

5. The clinical decision support system according to claim 1 wherein each of said plurality of display indicia is selectively dynamically animated to illustrate a predetermined condition indicative of the medical system in response to the second monitoring signal.

6. The clinical decision support system according to claim 1 wherein at least one of said plurality of display indicia is an alert indicative of a heightened risk associated with the medical system.

7. The clinical decision support system according to claim 1 wherein said controller performing said automated calculation and outputting said display signal in response to said automated calculation for use in patient treatment decision-making comprises determining a heightened risk associated with the medical system.

8. The clinical decision support system according to claim 1 wherein said controller performing said automated calculation and outputting said display signal in response to said automated calculation for use in patient treatment decision-making comprises determining the presence of said medical system.

9. 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.

10. The clinical decision support system according to claim 1 wherein said secondary, non-measurable parameter of the patient is a cardiac filling level.

11. The clinical decision support system according to claim 1 wherein said secondary, non-measurable parameter of the patient is an input and an output of the patient'"'"'s heart.

12. The clinical decision support system according to claim 1 wherein said automated calculation determined by said controller is further based on a predetermined risk factor, said predetermined risk factor being based on known literature effects.

13. The clinical decision support system according to claim 1 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.

14. 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.

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

a monitoring system operably coupled to a patient, said monitoring system passively engaging with the patient, said monitoring system outputting a first physiological monitoring signal in response to a measured parameter of the patient, said monitoring system further operably coupled to a medical system associated with the patient, said medical system actively engaging with the patient to effect a physiological response in the patient, said monitoring system outputting a second physiological monitoring signal in response to a detected condition of the medical system;

a controller receiving said first and second physiological monitoring signals and continuously calculating a secondary, non-measurable parameter of the patient based on said measured parameter, said controller performing an automated calculation and outputting a display signal in response to said automated calculation for use in patient treatment decision-making, said automated calculation being determined by said controller based on at least said first physiological monitoring signal, said second, non-measurable parameter, data derived from the patient'"'"'s previously-recorded demographic data, and health data impacting an interpretation of said first and second physiological monitoring signals derived from a medical literature database; and

a display device operably coupled to said controller and receiving said display 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, wherein at least one of said plurality of display indicia being substantially shaped as a readily-identifiable organ and operable to actively display a condition indicative of an associated organ of the patient and at least one of said plurality of display indicia is substantially shaped as a readily-identifiable medical system and operable to actively display a condition indicative of the medical system operably coupled to the patient.

16. The clinical decision support system according to claim 15 wherein said controller determines said display signal based on an automated calculation, whereby said controller actively accesses said data impacting medical care of the patient derived from the patient'"'"'s previously-recorded demographic and health data to determine said automated calculation.

17. The clinical decision support system according to claim 15 wherein each of said plurality of display indicia is selectively dynamically animated to illustrate a real-time condition indicative of the medical system in response to the second monitoring signal.

18. The clinical decision support system according to claim 15 wherein said controller actively accesses said data impacting medical care of the patient derived from the patient'"'"'s previously-recorded demographic and health data to determine a heightened risk associated with the medical system.

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

a monitoring system operably coupled to a patient, said monitoring system passively engaging with the patient, said monitoring system outputting a physiological monitoring signal in response to a measured parameter of the patient, said monitoring system further operably coupled to a medical system associated with the patient, said monitoring system outputting a second physiological monitoring signal in response to a detected condition of the medical system;

a controller receiving said physiological monitoring signals and also receiving or calculating a non-measured value for a medical system associated with the patient, said controller performing an automated calculation and outputting a plurality of display signals in response to said automated calculation for use in patient treatment decision-making, said automated calculation being determined by said controller based on at least said physiological monitoring signals, said non-measured value, data derived from the patient'"'"'s previously-recorded demographic and health data impacting an interpretation of said physiological monitoring signals derived from an electronic source other than said monitoring signals and said medical system; and

a display device operably coupled to said controller and receiving said plurality of display signals, said display device having a plurality of display indicia where at least one of the plurality of display indicia is responsive to said monitoring display signal, and where at least one of the plurality of display indicia is responsive to said medical system display signal.