Patient data mining with population-based analysis

• US 20030125988A1
• Filed: 11/04/2002
• Published: 07/03/2003
• Est. Priority Date: 11/02/2001
• Status: Active Grant

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Siemens Corp. (Siemens AG)
• Inventors: Sandilya, Sathyakama, Rao, R. Bharat
• Granted Patent: US 8,626,533 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• 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 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/60 relating to pathologies
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics

Abstract

A system and method for analyzing population-based patient information is provided. The method includes the steps of data mining a plurality of patient records using a domain knowledge base relating to a disease of interest; compiling the mined data into a plurality of structured patient records; inputting at least one patient criteria relating to the disease of interest; and extracting at least one structured patient record matching the at least one patient criteria. The system includes a data miner for mining information from the plurality of patient records using a domain knowledge base relating to a disease of interest and for compiling the mined data into a plurality of structured patient records; an interface for inputting at least one patient criteria relating to the disease of interest; and a processor adapted for extracting at least one of the structured patient records matching the at least one patient criteria.

Claims

1. A method for analyzing patient records, the method comprising the steps of:

data mining a plurality of patient records using a domain knowledge base relating to a disease of interest;

compiling the mined data into a plurality of structured patient records;

inputting at least one patient criteria relating to the disease of interest; and

extracting at least one structured patient record matching the at least one patient criteria.

2. The method as in claim 1, further comprising the step of determining a patient outcome of the at least one structured patient record.

3. The method as in claim 2, further comprising the steps of changing a value of the at least one patient criteria and repeating the extracting and determining steps.

4. The method as in claim 1, wherein the plurality of patient records are stored in structured and unstructured sources.

5. The method as in claim 1, wherein the plurality of patient records are collected over a course of treatment of a plurality of patients.

6. The method as in claim 2, further comprising the step of correlating a plurality of criteria to a plurality of patient outcomes.

7. The method as in claim 6, further comprising the step of suggesting a hypothesis for a clinical trial based on the correlation.

8. The method as in claim 7, further comprising the step of validating the hypothesis by performing a retrospective study on the plurality of structured patient records.

9. A system for analyzing a plurality of patient records, the plurality of patient records being stored in structured and unstructured sources, the system comprising:

a data miner for mining information from the plurality of patient records using a domain knowledge base relating to a disease of interest and for compiling the mined data into a plurality of structured patient records;

an interface for inputting at least one patient criteria relating to the disease of interest; and

a processor adapted for extracting at least one of the structured patient records matching the at least one patient criteria.

10. The system as in claim 9, further comprising a database for storing the plurality of structured patient records.

11. The system as in claim 9, wherein the processor is further adapted to determine a patient outcome of the at least one structured patient record.

12. The system as in claim 11, wherein the processor is further adapted to correlate a plurality of criteria to a plurality of patient outcomes.

13. The system as in claim 12, wherein the processor is further adapted to suggest a hypothesis for a clinical trial based on the correlation.

14. A method for conducting a retrospective study on a plurality of patient records, the method comprising the steps of:

data mining the plurality of patient records using a domain knowledge base relating to a disease of interest;

compiling the mined data into a plurality of structured patient records;

inputting a plurality of patient criteria forming a hypothesis relating to the disease of interest; and

extracting a plurality of structured patient records matching the plurality of patient criteria.

15. The method as in claim 14, further comprising the step of determining patient outcomes from the plurality of structured patient records.

16. The method as in claim 15, further comprising the step of validating the hypothesis by comparing the patient outcomes to a suggested outcome.

17. A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform method steps for analyzing patient records, the method steps comprising:

data mining a plurality of patient records using a domain knowledge base relating to a disease of interest;

compiling the mined data into a plurality of structured patient records;

inputting at least one patient criteria relating to the disease of interest; and

extracting at least one structured patient record matching the at least one patient criteria.

18. The program storage device as in claim 17, further comprising the method step of determining a patient outcome of the at least one structured patient record.

19. The program storage device as in claim 18, further comprising the method steps of changing a value of the at least one patient criteria and repeating the extracting and determining steps.

20. The program storage device as in claim 17, wherein the plurality of patient records are stored in structured and unstructured sources.