Patient Data Mining for Lung Cancer Screening

• US 20070239491A1
• Filed: 06/06/2007
• Published: 10/11/2007
• Est. Priority Date: 09/09/2002
• Status: Active Grant

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Siemens Corporate Research Incorporated (Siemens AG)
• Inventors: Sandilya, Sathyakama, Rao, R.
• Granted Patent: US 8,682,693 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• 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: H04L 12/2856 Access arrangements, e.g. Internet access asynchronous transfer mode networks H04L12/5601; broadband local area networks H04L12/2801; optical access or distribution networks H04Q11/0067; access to open networks H04L12/5691; digital subscriber line end-user equipment and bit-level processing of data on a PSTN-based network H04M11/00; home network gateways H04L12/2834; wireless access networks H04W
• CPC Class Codes: H04L 12/4633 Interconnection of networks using encapsulation techniques, e.g. tunneling
• CPC Class Codes: H04L 12/4641 Virtual LANs, VLANs, e.g. virtual private networks [VPN] LAN interconnection over a bridge based backbone H04L12/462; encapsulation techniques H04L12/4633; routing of packets H04L45/00; packet switches H04L49/00; virtual private networks for security H04L63/0272
• CPC Class Codes: H04W 88/12 Access point controller devices

Abstract

A system and method for lung cancer screening is provided. The system includes a database including structured patient information for a patient population and a domain knowledge base including information about lung cancer; an individual patient record; and a processor for analyzing the patient record with data from the database to determine if a patient has indications of lung cancer. The method includes the steps of inputting patient-specific data into a patient record; performing at least one lung cancer screening procedure on a patient, wherein at least one result from at least one procedure is inputted into the patient record in a structured format; and analyzing the patient record with a domain knowledge base to determine if the patient has indications of lung cancer.

Claims

1. A lung cancer screening system comprising:

a database including structured patient information for a patient population associated with lung cancer and a domain knowledge base including information about lung cancer;

an individual patient record; and

a processor for analyzing the patient record with the information about lung cancer from the domain knowledge base of the database to determine if a patient has indications of lung cancer.

3. The system as in claim 1, wherein the database is populated with information collected prospectively.

4. The system as in claim 1, wherein the processor further comprising a diagnosis module for determining a current state of a patient.

5. The system as in claim 4, wherein the diagnosis module analyzes an imaging study to detect if a nodule is present and, if a nodule is present, registering the imaging study with previous imaging studies of the patient to determine growth of the nodule.

6. The system as in claim 5, wherein the imaging study is a computed tomography (CT) scan.

7. The system as in claim 1, wherein the processor further comprising a modeling module for analyzing the population-based structured patient information of the database to determine trends in patients with similar characteristics of the patient as determined by the individual patient record.

9. The system as in claim 7, wherein the modeling module predicts a progression of lung cancer in the patient based on a determined trend.

10. The system as in claim 1, wherein the processor further comprises a patient management module for determining a screening protocol for the patient.

11. The system as in claim 10, wherein the patient management module determines a time for a next testing procedure for the individual patient.

12. The system as in claim 11, wherein the next testing procedure is a computerized tomography (CT) scan.

14. The system as in claim 11, wherein the patient management module balances costs of potential tests to be performed against a risk of late detection of lung cancer to determine a maximum allowable time between tests for the individual patient.

29. The system as in claim 1, wherein the patient information comprises genetic markers.

30. The system as in claim 1, wherein the processor is operable to analyze by performing a probabilistic inference based on the domain knowledge base.

31. The system as in claim 1, wherein the processor is operable to analyze by performing volumetric serial study of several computed tomography scans associated with different times.

2. A lung cancer screening system comprising:

a database including structured patient information for a patient population and a domain knowledge base including information about lung cancer;

an individual patient record; and

a processor for analyzing the patient record with data from the database to determine if a patient has indications of lung cancer;

wherein the database is populated with the structured patient information by data mining structured and unstructured patient records.

8. A lung cancer screening system comprising:

a database including structured patient information for a patient population and a domain knowledge base including information about lung cancer;

an individual patient record; and

a processor for analyzing the patient record with data from the database to determine if a patient has indications of lung cancer;

wherein the individual patient record is created by mining structured and unstructured patient information.

13. The system as in claim 8, wherein the patient management module determines a testing procedure to be next performed for the individual patient and determines a time for the testing procedure for the individual patient.

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