System and method for integrating clinical information to provide real-time alerts for improving patient outcomes

• US 8,608,656 B2
• Filed: 04/01/2010
• Issued: 12/17/2013
• Est. Priority Date: 04/01/2009
• Status: Active Grant

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Greenwald, Scott D., Chamoun, Nassib G., Sigl, Jeffrey C.
• Primary Examiner(s): Thomson, Bill
• Assistant Examiner(s): SORIANO, BOBBY GILES
• Application Number:
  US12/752,288
• Publication Number:
  US 20100256463A1
• Time in Patent Office: 1,356 Days
• Field of Search: 600/485, 600/508, 600300-301, 705 2- 5, 707/706
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• 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: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Systems and methods for assessing a patient'"'"'s risk of poor outcome in real-time are provided. The real-time risk may be used by a physician to guide decision making during a procedure.

Claims

1. A system for monitoring a patient during a clinical visit comprising:

an input for receiving input data;

a sensor configured to collect physiological data of a patient;

a display; and

a processor configured to;

receive, from the input, one or more patient characteristics,

determine a reference population data set based on the one or more patient characteristics,

define a plurality of patient states from the reference population data set,

receive, from the sensor, physiological data of the patient,

classify the patient as being in one of the plurality of patient states based on a comparison between the collected physiological data and the reference population data set, wherein each of the patient states is associated with a risk of a particular health outcome,

provide, using the display, the risk associated with the patient state classification,

receive, from the input, data identifying a clinical intervention performed on the patient,

receive, from the sensor, updated physiological data of the patient,

update the patient state classification based on the data identifying the clinical intervention and the updated physiological data, and

provide, using the display, the risk associated with the updated patient state classification.

2. The system of claim 1, wherein the one or more patient characteristics comprise at least one of the patient'"'"'s medical history and demographic information.

3. The system of claim 2, wherein the physiological data comprises real-time physiological parameters of the patient.

4. The system of claim 3, wherein the real-time physiological parameters are selected from the group consisting of heart rate, respiratory rate, blood pressure, derived hemodynamic parameters, measure of consciousness, SpO2, temperature and ScO2.

5. The system of claim 4, wherein the patient state classification is further based on the real-time physiological parameters and input data comprising a medical history of the patient.

6. The system of claim 4, wherein the risks associated with the plurality of patient states are based on a reference population data set.

7. The system of claim 1, wherein the system further comprises an alarm capable of notifying a physician when the patient is in an undesirable patient state.

8. The system of claim 1, wherein the display displays information in a 3-dimensional format.

9. The system of claim 1, wherein the display displays information in a 2-dimensional format.

10. A method for monitoring a patient during a clinical visit, the method comprising:

receiving, from an input, one or more patient characteristics;

determining a reference population data set based on the one or more patient characteristics;

defining a plurality of patient states from the reference population data set;

receiving, from a sensor, physiological data of a patient;

with a processor, classifying the patient as being in one of the plurality of patient states based on a comparison between the received physiological data and the reference population data set, wherein each of the patient states is associated with a risk of a particular health outcome;

displaying, on a display device, the risk associated with the patient state classification;

receiving data identifying a clinical intervention performed on the patient;

receiving, from the sensor, updated physiological data from the patient;

updating the patient state classification based on the data identifying the clinical intervention and the updated physiological data; and

displaying, on the display device, the risk associated with the updated patient state classification.

11. The method of claim 10 further comprising:

identifying a particular health outcome; and

calculating the risk of the particular health outcome associated with each of the plurality of patient states.

12. The method in claim 11 wherein risks are calculated based at least in part on a Cox Regression model.

13. The method of claim 10, wherein the one or more patient characteristics comprise at least one of the patient'"'"'s medical history and demographic information.

14. The method of claim 13, wherein the physiological data comprises real-time physiological parameters of the patient.

15. The method of claim 14, wherein the real-time physiological parameters are selected from the group consisting of heart rate, respiratory rate, blood pressure, derived hemodynamic parameters, measure of consciousness, SpO2, temperature and ScO2.

16. The method of claim 15, wherein the patient state classification is further based on the real-time physiological parameters and input data comprising a medical history of the patient.

17. The method of claim 11, wherein an alert is provided when the patient is in an undesirable patient state.

18. The method of claim 17, wherein the alert is provided each time a patient is in an undesirable patient state for a time duration exceeding a threshold duration.

19. The method of claim 10, wherein the risk assessment is displayed in a 3-dimensional format.

20. The method of claim 10, wherein the risk assessment is displayed in a 2-dimensional format.

21. The method of claim 11, wherein the plurality of patient states are defined based at least in part on measure of consciousness, mean arterial pressure (MAP), and mean alveolar concentration (MAC).

22. The method of claim 21, wherein the plurality of patient states are defined based at least in part on SpO2, temperature and ScO2.

23. The method of claim 11, wherein the plurality of patient states are defined based at least in part on at least two or more of measure of consciousness, mean arterial pressure (MAP), mean alveolar concentration (MAC), MAP/Heart Rate (HR), SpO2 and ScO2.