SYSTEM AND METHOD FOR CLINICAL DECISION SUPPORT FOR THERAPY PLANNING USING CASE-BASED REASONING

• US 20130268547A1
• Filed: 12/07/2011
• Published: 10/10/2013
• Est. Priority Date: 12/16/2010
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Boroczky, Lilla, Xu, Ye, Lee, Michael Chun-chieh, Simpson, Mark R
• Application Number:
  US13/993,419
• Publication Number:
  US 20130268547A1
• Time in Patent Office: Days
• US Class Current: 707/758
• CPC Class Codes: G06F 16/90 Details of database functions independent of the retrieved data types
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a current patient set of data relating to a current patient; compare the current patient set of data to a plurality of previous patient sets of data, each of the previous patient sets of data corresponding to a previous patient; select one of the previous patient sets of data based on a level of similarity between the selected previous patient set of data and the current patient set of data; and provide the selected previous patient set of data to a user.

Claims

1. A non-transitory computer-readable storage medium storing a set of instructions executable by a processor, the set of instructions being operable to:

receive a current patient set of data relating to a current patient;

compare the current patient set of data to a plurality of previous patient sets of data, each of the previous patient sets of data corresponding to a previous patient;

select a plurality of the previous patient sets of data based on a level of similarity between the selected plurality of previous patient sets of data and the current patient set of data;

provide the plurality of selected previous patient sets of data to a user;

generate a treatment plan based on corresponding treatment plans of the plurality of selected previous patient data sets; and

weighting each of the corresponding treatment plans based on a similarity of each of the plurality of selected previous patients to the current patient.

2. The non-transitory computer-readable storage medium of claim 1, wherein the current patient data set comprises one of a set of clinical information about the current patient, a set of calculated information about the patient, a set of quality of life preferences of the patient, and an initial treatment plan for the current patient.

3. The non-transitory computer-readable storage medium of claim 1, wherein the previous patient sets of data comprise one of sets of clinical information about the previous patients, sets of calculated information about the previous patients, treatment plans of the previous patients, and outcome information of the previous patients.

4. The non-transitory computer-readable storage medium of claim 1, wherein a plurality of previous patient sets of data are selected, and wherein the plurality of selected previous patient sets of data are ranked by a level of similarity.

9. The non-transitory computer-readable storage medium of claim 1, wherein a first element of the treatment plan is copied from a first treatment plan of one of the plurality of selected previous patients, and wherein a second element of the treatment plan is copied from a second treatment plan of a further one of the plurality of selected previous patients, the second element being an element relating to an attribute of the current patient that differs from a corresponding attribute of the selected one of the previous patients, the second element further being an element relating to an attribute of the current patient that is similar to a corresponding attribute of the further one of the previous patients.

10. The non-transitory computer-readable storage medium of claim 1, wherein the level of similarity is based on a distance metric between the current patient and the selected one of the previous patients.

11. The non-transitory computer-readable storage medium of claim 10, wherein the distance metric is one of a Euclidean distance, a city block distance, and a Mahalanobis distance.

5. (canceled)

6. (canceled)

7. (canceled)

8. (canceled)

12. A system, comprising:

a user interface receiving a current patient set of data relating to a current patient;

a database storing a plurality of previous patient sets of data, each of the previous patient sets of data corresponding to a previous patient;

a similarity search mechanism searching the plurality of previous patient sets of data and selecting a plurality of the previous patient sets of data having a high degree of similarity to the current patient set of data, wherein the plurality of selected previous patient sets of data is provided to the user by the user interface; and

a plan generation system generating a treatment plan for the current patient based on the plurality of selected previous patient data sets, wherein the treatment plans of each of the selected plurality of patients is weighted based on a similarity of each of the selected plurality of the previous patients to the current patient.

13. The system of claim 12, wherein the current patient data set is one of a set of clinical information about the current patient, a set of calculated information about the patient, a set of quality of life preferences of the patient, and an initial treatment plan for the current patient.

14. The system of claim 12, wherein the previous patient sets of data comprise one of sets of clinical information about the previous patients, sets of calculated information about the previous patients, treatment plans of the previous patients, and outcome information of the previous patients.

15. The system of claim 12, wherein a plurality of previous patient sets of data are selected, and wherein the plurality of selected previous patient sets of data are ranked by a level of similarity to the current patient set of data.

21. The system of claim 12, wherein the degree of similarity is based on a distance metric between the current patient and the selected one of the previous patients, and wherein the distance metric is one of a Euclidean distance, a city block distance, and a Mahalanobis distance.

23. The system of claim 12, wherein the user interface is a graphical user interface.

24. The system of claim 23, wherein the graphical user interface comprises a retrieval criteria selection element indicating a weighting of a plurality of retrieval criteria.

16. (canceled)

20. The system of claim 16, wherein a first element of the treatment plan is copied from a first treatment plan of the plurality of selected previous patients, and wherein a second element of the treatment plan is copied from a second treatment plan of a further one of the plurality of previous patients, the second element being an element relating to an attribute of the current patient that differs from a corresponding attribute of the selected one of the previous patients, the second element further being an element relating to an attribute of the current patient that is similar to a corresponding attribute of the further one of the previous patients.

17. (canceled)

18. (canceled)

19. (canceled)

22. (canceled)