METHOD AND SYSTEM FOR SELECTING ALARM REDUCTION ALGORITHM

• US 20150148617A1
• Filed: 11/27/2013
• Published: 05/28/2015
• Est. Priority Date: 11/27/2013
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Friedman, Bruce Arnold
• Application Number:
  US14/091,653
• Publication Number:
  US 20150148617A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• 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 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• 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 5/742 using visual displays A61B5/339 takes precedence
• 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 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A patient monitoring system and method is disclosed herein. The system includes one or more patient monitors that obtain physiological data from a patient. Based upon the physiological data obtained from the patient, as well as the information available for the patient in an electronic health record, an algorithm selection device determines which one of a plurality of early warning algorithms are best suited for use in monitoring a patient. One or more early warning algorithms can be presented to a user for selection. Once the algorithm selection device or the user determines which of a plurality of early warning algorithms would be most effective, the early warning algorithm is downloaded to the patient monitor for use by the patient monitor. The patient monitor utilizes the downloaded early warning algorithm to generate alarms and alerts to indicate the health status of the patient being monitored.

Claims

1. A method for automatically ranking the effectiveness of early warning algorithms for a patient, comprising:

accessing a computer database comprising a plurality of early warning algorithms;

computing a ranking of at least a subset of the plurality of early warning algorithms based on the type of available patient data; and

providing the ranking for a predetermined use.

2. The method of claim 1, wherein the patient data comprises of at least one of patient demographic data, patient physiological data and patient diagnostic data.

3. The method of claim 2, wherein the patient demographic data comprises at least one of patient age, patient gender, family history and race.

4. The method of claim 2, wherein patient physiological data comprises at least one of blood pressure, heart rate, respiration rate, and temperature.

5. The method of claim 1, wherein the type of patient data further comprises whether the data is continuous or episodic.

6. The method of claim 1 wherein the patient diagnostic information comprises at least one of current or prior pathological conditions.

7. The method of claim 1, further comprising the step of displaying the ranking to a user on a display device.

8. A method of operating, a patient monitor to generate an early warning of deteriorating patient status, comprising:

acquiring physiological data from the patient at the patient monitor;

accessing a computer database external to the patient monitor and including a plurality of early warning algorithms;

selecting and downloading one of the plurality of early warning algorithms based at least partially on the physiological data acquired by the patient monitor; and

operating the patient monitor utilizing the downloaded early warning algorithm.

9. The method of claim 8 further comprising the step of acquiring patient demographic data for the patient, wherein the step of selecting one of the early warning, algorithms is based on both the acquired patient demographic data and the acquired physiological data.

10. The method of claim 9 wherein the patient demographic data comprises at least one of patient age, patient gender, family history and race.

11. The method of claim 8 wherein the physiological data from the patient includes at least one of blood pressure, heart rate, respiration rate and temperature.

12. The method of claim 8 wherein the step of selecting the early warning algorithm comprises:

identifying one or more of the plurality of early warning algorithms best suited for use in monitoring the patient;

displaying the identified early warning algorithms to a user; and

receiving a selection of one of the displayed early warning algorithms.

13. The method of claim 12 further comprising the steps of:

generating a ranking for each of the identified early warning algorithms; and

displaying the ranking to the user.

14. The method of claim 13 wherein the rankings are based upon the availability of the physiological data and patient demographic data.

15. The method of claim 9 further comprising the step of acquiring patient diagnostic data. wherein the step of selecting one of the early warning algorithms is further based on the acquired patient diagnostic data.

16. A patient monitoring system for monitoring the status of a patient, comprising:

a patient monitor including a display device and at least one sensor connected to the patient to obtain physiological data from the patient;

a computer database external to the patient monitor and including a plurality of early warning algorithms; and

an algorithm selection device in communication with the computer database, wherein the algorithm selection controller includes a processor programmed to select and download one of the plurality of early warning algorithms based at least partially on the physiological data obtained from the patient,

wherein the patient monitor operates utilizing the downloaded early warning algorithm.

17. The patient monitoring system of claim 16 wherein the processor is further programmed to identify one or more of the plurality of early warning algorithms best suited for use in monitoring the patient and displaying the identified early warning algorithms to a user.

18. The patient monitoring system of claim 16 wherein the physiological data includes at least one of blood pressure, heart rate, respiration rate and temperature.

19. The patient monitoring system of claim 16 wherein the processor selects the one or more early warning algorithm based upon the physiological data, patient demographic data and patient diagnostic data.

20. The patient monitoring system of claim 16 wherein the processor is further programmed to display the identified early warning algorithms to a user and receive a selection of one of the displayed early warning algorithms from the user.