Systems and Method For Integrative Medical Decision Support

• US 20070168308A1
• Filed: 01/05/2007
• Published: 07/19/2007
• Est. Priority Date: 01/11/2006
• Status: Active Grant

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Corporate Research Incorporated (Siemens AG)
• Inventors: Comaniciu, Dorin, Wang, Lu-yong, Fasulo, Daniel
• Granted Patent: US 7,593,913 B2
• Time in Patent Office: Days
• US Class Current: 706/20
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/60 relating to pathologies
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system for providing medical decision support for diagnosis and treatment of disease comprises a medical knowledge database comprising medical information, the medical information including probabilities of disease outcomes for a disease of interest, a memory device for storing a program, a processor in communication with the memory device, the processor operative with the program to obtain patient information and in vitro test results for a patient, and automatically generate a recommendation for a medical test based on a combination of the patient information, the in vitro test results, and medical information from the medical knowledge database.

Claims

1. A system for providing medical decision support for diagnosis and treatment of disease, comprising:

a medical knowledge database comprising medical information, the medical information including probabilities of disease outcomes for a disease of interest;

a memory device for storing a program;

a processor in communication with the memory device, the processor 1C operative with the program to;

obtain patient information and in vitro test results for a patient; and

automatically generate a recommendation for a medical test based on a combination of the patient information, the in vitro test results, and medical information from the medical knowledge database.

2. The system of claim 1, wherein the medical information further includes information selected from a plurality of case histories, randomized controlled trials, prospective longitudinal cohort studies, retrospective cohort studies, case control studies, cross sectional studies, case series, anecdotes or clinical observations.

3. The system of claim 1, wherein the medical information further includes information on diseases, conditions, symptoms, medications, and treatment options and outcomes, risks, and benefits associated therewith.

4. The system of claim 1, wherein the patient information includes at least one of age, ethnicity, family history of disease, genetic markers, or symptoms.

5. The system of claim 1, wherein the in vitro test is selected from a plurality of in vitro diagnostic tests measuring the concentrations of one or more biomolecules from patient-derived specimens to allow for diagnoses of diseases.

6. The system of claim 1, wherein the medical test includes at least one of endoscopic examination, in vivo imaging, computed tomography (CT) colonoscopy, optical colonoscopy, or positron emission tomography (PET)/CT colonoscopy.

7. The system of claim 1, wherein when generating the recommendation for the medical test, the processor is further operative with the program to determine a probability of disease, wherein the probability of disease is a ratio of:

a conditional probability of occurrence of the patient information for a disease of interest multiplied by the probability of occurrence of the disease of interest across a population, with respect to the probability of occurrence of the patient information across the population.

8. The system of claim 7, wherein the disease of interest is a cellular disease.

9. The system of claim 8, wherein the cellular disease is a cancer.

10. A computer-implemented method of providing medical decision support for cancer diagnosis and treatment, comprising:

providing a medical knowledge database comprising medical information, the medical information including probabilities of cancer outcomes;

obtaining patient information for a patient;

determining a likelihood of cancer based on the patient information and medical information from the medical knowledge database;

obtaining in vitro test results for the patient;

updating the likelihood of cancer based on the in vitro test results and medical information from the medical knowledge database; and

generating a recommendation for a medical test based on a combination of the patient information and the updated likelihood of cancer.

11. The computer-implemented method of claim 10, wherein the patient information includes at least one of age, ethnicity, family history of cancer, genetic markers, or symptoms.

12. The computer-implemented method of claim 10, wherein determining a likelihood of cancer comprises determining a ratio of a conditional probability of occurrence of the patient information for a cancer type multiplied by the probability of occurrence of the cancer type across a population, with respect to the probability of occurrence of the patient information across the population.

13. The computer-implemented method of claim 10, wherein the in vitro test is selected from a plurality of in vitro diagnostic tests measuring the concentrations of one or more biomolecules from patient-derived specimens to allow for diagnoses of diseases.

14. The computer-implemented method of claim 10, wherein updating the likelihood of cancer comprises determining a ratio of:

a conditional probability of occurrence of the patient information and the in vitro test results for a cancer type multiplied by the probability of occurrence of the cancer type across a population, with respect to the probability of occurrence of the patient information and the in vitro test results across the population.

15. The computer-implemented method of claim 10, wherein the medical test includes at least one of endoscopic examination, in vivo imaging, computed tomography (CT) colonoscopy, optical colonoscopy, or positron emission tomography (PET)/CT colonoscopy.

16. The computer-implemented method of claim 10, further comprising receiving results of the medical test and verifying the updated likelihood of cancer based on the in vitro test results and the results of the medical test.

17. The computer-implemented method of claim 10, wherein verifying the updated likelihood of cancer comprises determining a ratio of a conditional probability of occurrence of the in vitro test results and the medical test results for a cancer type multiplied by the probability of occurrence of the cancer type across a population, with respect to the probability of occurrence of the in vitro test results and the medical test results across the population.

18. A system for providing medical decision support for cancer diagnosis and treatment, comprising:

a medical knowledge database comprising medical information, the medical information including probabilities of cancer outcomes;

a memory device for storing a program;

a processor in communication with the memory device, the processor operative with the program to;

obtain patient information for a patient;

determine a likelihood of cancer based on the patient information and medical information from the medical knowledge database;

obtain in vitro test results for the patient;

update the likelihood of cancer based on the in vitro test results and medical information from the medical knowledge database; and

automatically generate a recommendation for a medical test based on a combination of the patient information and the updated likelihood of cancer.

19. The system of claim 18, wherein the patient information includes at least one of age, ethnicity, family history of cancer, genetic markers, or symptoms.

20. The system of claim 18, wherein the in vitro test is selected from a plurality of in vitro diagnostic tests measuring the concentrations of one or more biomolecules from patient-derived specimens to allow for diagnoses of diseases.

21. The system of claim 18, wherein the medical test includes at least one of endoscopic examination, in vivo imaging, computed tomography (CT) colonoscopy, optical colonoscopy, or positron emission tomography (PET)/CT colonoscopy.

22. The system of claim 18, wherein generating the recommendation for the medical test comprises determining a probability of cancer, and wherein the probability of cancer is a ratio of:

a conditional probability of occurrence of the patient information for a cancer type multiplied by the probability of occurrence of the cancer type across a population, with respect to the probability of occurrence of the patient information across the population.