Guiding differential diagnosis through information maximization

• US 8,652,039 B2
• Filed: 03/01/2006
• Issued: 02/18/2014
• Est. Priority Date: 03/02/2005
• Status: Active Grant

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Rosales, Romer E., Mueller, Marianne Larissa, Krishnan, Sriram, Rao, R. Bharat
• Primary Examiner(s): Thomson, Bill
• Assistant Examiner(s): SORIANO, BOBBY GILES
• Application Number:
  US11/365,271
• Publication Number:
  US 20060200010A1
• Time in Patent Office: 2,911 Days
• Field of Search: 600300-301, 705 2- 4
• US Class Current: 600/301
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information as well as clinical records from other patients can reduce the uncertainty in both diagnosis and treatment options. The information maximization may consider additional data such as risk, cost, and comfort in making a proper medical decision.

Claims

1. In a non-transitory computer readable storage medium having stored therein data representing instructions executable by a programmed processor for proposing one of a plurality of medical tests, the storage medium comprising instructions for:

receiving a selection of a medical condition to be treated;

obtaining patient medical data for a particular patient that is stored in a memory;

obtaining other medical data from existing clinical records that is stored in the memory;

identifying at least one of the medical tests for analysis;

analyzing the patient medical data and the other medical data with the programmed processor in communication with the memory, wherein the analysis comprises comparing each of the identified medical tests with the other medical data in view of the patient medical data for the selected medical condition;

determining a probability for each of the identified medical tests based on the analysis of the patient medical data and the other medical data for the selected medical condition, wherein the probability comprises a likelihood of success for each of the medical tests for the particular patient for the selected medical condition, wherein the other medical data comprises results of at least some of the medical tests from the existing clinical records and those results reflect whether the medical tests were successful for other patients for the selected medical condition;

outputting the one of the medical tests with a highest determined probability;

utilizing the outputted medical test to obtain additional medical data, wherein the additional medical data comprises results of the medical test; and

automatically updating the patient medical data in the memory with the additional medical data, wherein the step of analyzing the patient medical data comprises comparing each of the identified medical tests with the other medical data in view of the updated patient medical data that includes the additional medical data.

2. The computer readable storage medium of claim 1 wherein the step of analyzing further comprises:

determining a benefit for each of the identified medical tests based on whether the medical tests were successful for other patients as reflected in the other medical data, wherein the benefit further depends on a similarity between the other medical data and the patient medical data;

determining a cost of each of the identified medical tests; and

maximizing a cost function with the benefit, the cost, the patient data and the other medical data.

3. The computer readable storage medium of claim 1 wherein the similarity between the other medical data and the patient medical data corresponds with a similarity between the particular patient and the other patients from the other medical data.

4. The computer readable storage medium of claim 1 wherein the medical test further comprises a potential diagnosis of a medical condition.

5. The computer readable storage medium of claim 4 wherein the diagnosis of the medical condition is added to the patient medical data.

6. The computer readable storage medium of claim 1 wherein the at least one medical test comprises a potential method of treatment to be performed, and the results of the existing clinical medical data comprises an outcome from the potential method of treatment.

7. The computer readable storage medium of claim 6 wherein the additional medical data comprises at least one result from the method of treatment.

8. The computer readable storage medium of claim 7 wherein the probability associated with the at least one medical test is adjusted by the at least one result from the method of treatment or the test, wherein the at least one result may improve the probability associated with the at least one medical test.

9. The computer readable storage medium of claim 1 wherein the determining a probability for each of the identified medical tests further comprises determining an uncertainty that reflects a similarity between the patient medical data and data from the other patients in the existing clinical records, wherein the uncertainty decreases when the data from the other patients is similar to the patient medical data.

10. The computer readable storage medium of claim 1 wherein the patient medical data comprises at least one of patient information, demographics, medical history, observations, symptoms, test results, and any combination thereof.

11. The computer readable storage medium of claim 10 wherein the at least one medical test provides at least one of the observations.

12. The computer readable storage medium of claim 1 wherein the other medical data from existing clinical records is based on a compilation of medical records of other patients.

13. The computer readable storage medium of claim 1 wherein the step of analyzing the patient medical data and the other medical data comprises:

comparing the other medical data with the patient medical data; and

determining which of the at least one medical test was most effective from the other medical data or is most effective for the patient.

14. The computer readable storage medium of claim 1 wherein the step of analyzing the patient medical data and the other medical data comprises utilizing information maximization by maximizing the probability for the outputted medical test.

15. The method of claim 1 wherein the step of analyzing the patient medical data and the other medical data comprises maximizing a benefit for a patient, wherein the benefit is predetermined.

16. The computer readable storage medium of claim 1 wherein the at least one medical test comprises a combination of tests, wherein the combination of test comprises a series of tests.

17. The computer readable storage medium of claim 1 wherein the at least one medical test comprises a treatment and the step of utilizing the outputted medical test to obtain additional medical data comprising implementing the treatment, wherein the patient data is automatically updated with results from the implemented treatment.

18. The computer readable storage medium of claim 2 wherein the benefit increases a probability of the at least one medical test.