SYSTEM AND METHOD FOR OPTIMIZING MEDICAL TREATMENT PLANNING AND SUPPORT IN DIFFICULT SITUATIONS SUBJECT TO MULTIPLE CONSTRAINTS AND UNCERTAINTIES

• US 20090299766A1
• Filed: 05/30/2008
• Published: 12/03/2009
• Est. Priority Date: 05/30/2008
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Silobrcic, Josko, Hennessy, Richard A., Kraemer, James R., Friedlander, Robert R.
• Application Number:
  US12/130,779
• Publication Number:
  US 20090299766A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A computer implemented method for managing a condition of a patient during a chaotic event. A datum regarding a first patient is received. A first set of relationships is established. The first set of relationships comprises at least one relationship of the datum to at least one additional datum existing in a database. Based on the first set of relationships, cohorts to which the first patient belongs are established. Ones of the plurality of cohorts contain first data regarding the first patient and second data regarding a set of additional information. The set of additional information is related to the first data. The second data further regards a constraint imposed by a chaotic event. The plurality of cohorts is clustered according to at least one parameter. A cluster of cohorts is formed. Which of at least two cohorts in the cluster are closest to each other is determined.

Claims

1. A computer implemented method comprising:

receiving a datum regarding a first patient;

establishing a first set of relationships, wherein the first set of relationships comprises at least one relationship of the datum to at least one additional datum existing in at least one database;

establishing, based on the first set of relationships, a plurality of cohorts to which the first patient belongs, wherein ones of the plurality of cohorts contain corresponding first data regarding the first patient and corresponding second data regarding a corresponding set of additional information, wherein the corresponding set of additional information is related to the corresponding first data, and wherein the corresponding second data further regards a constraint imposed by a chaotic event;

clustering the plurality of cohorts according to at least one parameter, wherein a cluster of cohorts is formed;

determining which of at least two cohorts in the cluster are closest to each other; and

storing the at least two cohorts.

2. The computer implemented method of claim 1 further comprising:

organizing skills data for the chaotic event;

responsive to receiving an identification of skills and resources required to manage a condition of the patient, determining whether the skills and the resources are available;

optimizing the skills and the resources based on requirements and constraints, potential skills, and enabling resources to form optimized skills and optimized resources;

verifying availability of the optimized skills and the optimized resources; and

responsive to a determination that the optimized skills and the optimized resources are unavailable, re-optimizing the optimized skills and the optimized resources.

3. The computer implemented method of claim 2 further comprising:

providing alternative optimized skills and alternative optimized resources in case the optimized skills and the optimized resources are unavailable; and

recommending the optimized skills and the optimized resources to manage the condition.

4. The computer implemented method of claim 3 further comprising:

responsive to an absence of all of the optimized skills, the optimized resources, the alternative optimized skills, and the alternative optimized resources, providing a recommendation to a user regarding how to respond to the condition, wherein the user is not a medical professional.

5. The computer implemented method of claim 1 further comprising:

optimizing, mathematically, a second parameter against a third parameter, wherein the second parameter is associated with a first one of the at least two cohorts, and wherein the third parameter is associated with a second one of the at least two cohorts; and

storing a result of optimizing.

6. The computer implemented method of claim 1 wherein establishing the plurality of cohorts further comprises establishing to what degree the patient belongs in corresponding ones of the plurality of cohorts.

7. The computer implemented method of claim 5 wherein the second parameter comprises treatments having a highest probability of success for the patient and the third parameter comprises corresponding costs of the treatments.

8. The computer implemented method of claim 5 wherein the second parameter comprises treatments having a lowest probability of negative outcome and the third parameter comprises a highest probability of positive outcome.

9. The computer implemented method of claim 5 wherein the at least one parameter comprises a medical diagnosis, wherein the second parameter comprises false positive diagnoses, and wherein the third parameter comprises false negative diagnoses.

10. A computer program product comprising:

a computer readable medium storing instructions for performing a computer implemented method, the instructions comprising;

instructions for receiving a datum regarding a first patient;

instructions for establishing a first set of relationships, wherein the first set of relationships comprises at least one relationship of the datum to at least one additional datum existing in at least one database;

instructions for establishing, based on the first set of relationships, a plurality of cohorts to which the first patient belongs, wherein ones of the plurality of cohorts contain corresponding first data regarding the first patient and corresponding second data regarding a corresponding set of additional information, wherein the corresponding set of additional information is related to the corresponding first data, and wherein the corresponding second data further regards a constraint imposed by a chaotic event;

instructions for clustering the plurality of cohorts according to at least one parameter, wherein a cluster of cohorts is formed; and

instructions for determining which of at least two cohorts in the cluster are closest to each other.

11. The computer program product of claim 10 further comprising:

instructions for organizing skills data for the chaotic event;

instructions for, responsive to receiving an identification of skills and resources required to manage a condition of the patient, determining whether the skills and the resources are available;

instructions for optimizing the skills and the resources based on requirements and constraints, potential skills, and enabling resources to form optimized skills and optimized resources;

instructions for verifying availability of the optimized skills and the optimized resources; and

instructions for, responsive to a determination that the optimized skills and the optimized resources are unavailable, re-optimizing the optimized skills and the optimized resources.

12. The computer program product of claim 11 further comprising:

instructions for providing alternative optimized skills and alternative optimized resources in case the optimized skills and the optimized resources are unavailable; and

instructions for recommending the optimized skills and the optimized resources to manage the condition.

13. The computer program product of claim 12 further comprising:

instructions for, responsive to an absence of all of the optimized skills, the optimized resources, the alternative optimized skills, and the alternative optimized resources, providing a recommendation to a user regarding how to respond to the condition, wherein the user is not a medical professional.

14. The computer program product of claim 10 further comprising:

instructions for optimizing, mathematically, a second parameter against a third parameter, wherein the second parameter is associated with a first one of the at least two cohorts, and wherein the third parameter is associated with a second one of the at least two cohorts; and

instructions for storing a result of optimizing.

15. A data processing system comprising:

a bus;

a processor connected to the bus;

a memory connected to the bus, wherein the memory contains a set of instructions for performing a computer implemented method, and wherein the processor is operable to execute the set of instructions to;

receive a datum regarding a first patient;

establish a first set of relationships, wherein the first set of relationships comprises at least one relationship of the datum to at least one additional datum existing in at least one database;

establish, based on the first set of relationships, a plurality of cohorts to which the first patient belongs, wherein ones of the plurality of cohorts contain corresponding first data regarding the first patient and corresponding second data regarding a corresponding set of additional information, wherein the corresponding set of additional information is related to the corresponding first data, and wherein the corresponding second data further regards a constraint imposed by a chaotic event;

cluster the plurality of cohorts according to at least one parameter, wherein a cluster of cohorts is formed; and

determine which of at least two cohorts in the cluster are closest to each other.

16. The data processing system of claim 15 wherein the processor is operable to execute the set of instructions to:

organize skills data for the chaotic event;

responsive to receiving an identification of skills and resources required to manage a condition of the patient, determine whether the skills and the resources are available;

optimize the skills and the resources based on requirements and constraints, potential skills, and enabling resources to form optimized skills and optimized resources;

verify availability of the optimized skills and the optimized resources; and

responsive to a determination that the optimized skills and the optimized resources are unavailable, re-optimize the optimized skills and the optimized resources.

17. The data processing system of claim 16 wherein the processor is operable to execute the set of instructions to:

provide alternative optimized skills and alternative optimized resources in case the optimized skills and the optimized resources are unavailable; and

recommend the optimized skills and the optimized resources to manage the condition.

18. The data processing system of claim 17 wherein the processor is operable to execute the set of instructions to:

responsive to an absence of all of the optimized skills, the optimized resources, the alternative optimized skills, and the alternative optimized resources, provide a recommendation to a user regarding how to respond to the condition, wherein the user is not a medical professional.

19. The data processing system of claim 15 wherein the processor is operable to execute the set of instructions to:

optimize, mathematically, a second parameter against a third parameter, wherein the second parameter is associated with a first one of the at least two cohorts, and wherein the third parameter is associated with a second one of the at least two cohorts; and

store a result of optimizing.