System and Computer Readable Medium for Predicting Patient Outcomes

• US 20120265549A1
• Filed: 04/12/2011
• Published: 10/18/2012
• Est. Priority Date: 04/12/2011
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Virolainen, Isto
• Application Number:
  US13/085,071
• Publication Number:
  US 20120265549A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A processor operates to predict an outcome of a patient. Current physiological information is received from a patient. A similar patient subset is retrieved and the current physiological information is compared to the historical physiological information of the historical records of the similar patient subset. A correspondence is rated between the current and historical physiological information. A selection is made between a first outcome and a second outcome based upon the ratings of the correspondences and a notification is presented that is indicative of the selected first or second outcome.

Claims

1. A non-transient computer readable medium programmed with computer readable code that upon execution by a processor causes the processor to perform actions to notify a clinician of a predicted outcome of a patient, comprising:

receive current physiological information from the patient;

retrieve a similar patient subset, the similar patient subset comprising a plurality of historical records, each historical record of the similar patient subset comprising historical physiological information and a historical outcome, the historical outcome being at least a first outcome or a second outcome;

compare the current physiological information from the patient to the historical physiological information of each of the historical records;

rate a correspondence between the current physiological information from the patient and the historical physiological information of each of the historical records;

separate the historical records of the similar patient subset based upon the historical outcome in each of the historical records;

select between the first outcome and the second outcome based upon the ratings of the correspondences; and

present a notification indicative of the selected first or second outcome.

2. The computer readable medium of claim 1, wherein the execution of the computer readable code further causes the processor to:

receive demographic information about the patient;

receive diagnosis information about the patient;

filter a database comprising a plurality of historical records to create the similar patient subset out of the plurality of historical records, each historical record of the plurality comprises historical demographic information, historical physiological information, and a historical outcome, wherein the database is filtered to select historical records from the plurality in which the demographic information about the patient is similar to the historical demographic information.

3. The computer readable medium of claim 2, wherein the demographic information comprises patient sex, age, height, weight, and race.

4. The computer readable medium of claim 3, wherein the execution of the computer readable code further causes the processor to filter the similar patient subset based upon the diagnosis information about the patient to limit the historical physiological information used from each of the historical records of the similar patient subset, to only historical physiological information related to the diagnosis information about the patient.

5. The computer readable medium of claim 1, wherein the historical outcome indicates either a critical outcome or a recovery outcome, wherein the first outcome is the critical outcome and the second outcome is the recovery outcome.

6. The computer readable medium of claim 5, wherein the execution of the computer readable code further causes the processor to:

separate the similar patient subset into a first group comprising historical records that comprise a recovery outcome, and a second group comprising historical records that comprise a critical outcome;

wherein the first outcome is defined from the historical records of the first group and the second outcome is defined from the historical records of the second group.

7. The computer readable medium of claim 6, wherein the execution of the computer readable code further causes the processor to rate the correspondence between the current physiological information from the patient and the historical physiological information of the first group by rating a correspondence between the current physiological information and the historical physiological information of each of the historical records of the first group.

8. The computer readable medium of claim 7, wherein the execution of the computer readable code further causes the processor to rate the correspondence between the current physiological information from the patient and the historical physiological information of the second group by rating a correspondence between the current physiological information and the historical physiological information of each of the historical records of the second group.

9. The computer readable medium of claim 8, wherein the execution of the computer readable code further causes the processor to select between the critical outcome and the recovery outcome based upon which of the first and second groups have a highest mean rated correspondence between the current physiological information and the historical physiological information.

10. The computer readable medium of claim 8, wherein the execution of the computer readable code further causes the processor to select between the critical outcome and the recovery outcome based upon which of the first and second groups have a highest median rated correspondence between the current physiological information and the historical physiological information.

11. The computer readable medium of claim 1, wherein the execution of the computer readable code further causes the processor to:

receive a trend length;

filter the historical physiological information of the similar patient subset to only include historical physiological information within the trend length of the historical outcome.

12. A non-transient computer readable medium programmed with computer readable code that upon execution by a processor causes the processor to perform actions to notify a clinician of a predicted outcome of a patient, comprising:

receive demographic information about the patient;

receive diagnosis information about the patient;

filter a database comprising a plurality of historical records to create a similar patient subset, each historical record of the plurality comprising historical demographic information, historical physiological information, and a historical outcome wherein the historical outcome is either a critical outcome or a recovery outcome, wherein the similar patient subset comprises historical records from the plurality in which the demographic information about the patient is similar to the demographic information in each of the historical records of the similar patient subset;

filter the similar patient subset based upon the diagnosis information about the patient to limit the historical physiological information used from each of the historical records of the similar patient subset;

separate the similar patient subset into a critical outcome group and a recovery outcome group based upon the whether the historical record had a critical outcome or a recovery outcome;

define a critical outcome based upon the historical physiological information of the historical records of the critical outcome group;

define a recovery outcome based upon historical physiological information of the historical records of the recovery outcome group;

receive current physiological information from the patient;

compare the current physiological information from the patient to the critical outcome and the recovery outcome;

rate a correspondence between the current physiological information from the patient and each of the critical outcome and the recovery outcome;

select between the critical outcome path and the recovery outcome path based upon the ratings of the correspondences; and

present a notification indicative of the selected critical outcome path or the recovery outcome path.

13. The computer-readable medium of claim 12, wherein the correspondence between the current physiological information and each of the critical outcome and the recovery outcome is an overall correspondence between all of the historical records of the critical outcome group and the recovery outcome group.

14. The computer-readable medium of claim 13, wherein the overall correspondence is calculated from a plurality of case specific correspondences, each case specific correspondence of the plurality being a correspondence between the current physiological information and historical physiological information of one historical record of the similar patient subset.

15. The computer-readable medium of claim 14, wherein each case specific correspondence is calculated from a plurality of parameter specific correspondences, each parameter specific correspondence of the plurality being a correspondence between the historical physiological data of a historical record and the current physiological information.

16. The computer-readable medium of claim 15, wherein each parameter specific correspondence is calculated from a plurality of sample specific correspondences, each sample specific correspondence of the plurality being a correspondence between each sample of the historical physiological data and each sample of the current physiological information.

17. A system for predicting an outcome of a patient, the system comprising:

a match candidate database stored on a computer readable medium, the match candidate database comprising a plurality of historical records, wherein each historical record of the plurality comprises historical physiological information and a historical outcome;

a graphical display configured to present a notification of a predicted outcome of the patient; and

a processor communicatively connected to the match candidate database and the graphical display, the processor compares the physiological information from the patient with the historical physiological information from the plurality of historical records and rates a correspondence between the physiological information from the patient and the historical records, the processor uses the rated correspondence to determine a predicted outcome of the patient;

wherein the processor operates the graphical display to present the notification of the predicted outcome of the patient and an associated correspondence used to determine the predicted outcome of the patient.

18. The system of claim 17, further comprising a patient monitor communicatively connected to the patient, the patient monitor acquires the physiological information from the patient such that the physiological information from the patient is current physiological information.

19. The system of claim 18, wherein the processor retrieves a similar patient subset of historical records from the match candidate database, and the processor rates the correspondence between the historical records of the similar patient subset and the current physiological information;

and

wherein the processor determines the predicted outcome of the patient by identifying the historical outcome of each of the historical records of the similar patient subset and selecting the historical outcome that results in a higher correspondence with the current physiological information.

20. The system of claim 19, further comprising a historical records database that comprises a plurality of historical records;

wherein the processor further receives patient demographic information and the processor uses the patient demographic information to filter the historical records of the historical record database to select historical records for the similar patient subset and the processor stores the similar patient subset in the match candidate database.