Systems and methods for predicting disease behavior

• US 20040015337A1
• Filed: 01/06/2003
• Published: 01/22/2004
• Est. Priority Date: 01/04/2002
• Status: Abandoned Application

• Current Assignee: Canswers LLC
• Original Assignee: Canswers LLC
• Inventors: Thomas, Richard D., Thomas, Sterling W., Robertson, Lawrence V. III, Thomas, Austin W., Parrish, James K., Hawkins, Scott J., Weiss, Diane
• Application Number:
  US10/336,688
• Publication Number:
  US 20040015337A1
• Time in Patent Office: Days
• US Class Current: 703/11
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Abstract

A system and method of predicting disease behavior is disclosed that includes one or more independent components that also interact to produce a prediction of disease behavior based on mathematical modeling of the biological mechanisms and historical patient data.

Claims

1. A system for using a database of patient data to simulate disease progression and identify relationships affecting disease treatment and outcome by analyzing patient specific data in the context of historical data, the system comprising:

a database of historical patient data;

a system for receiving patient specific data; and

a computer system programmed to;

receive patient specific information;

identify and retrieve relevant historical patient data;

analyze the patient specific information with respect to the relevant historical patient data; and

output information as to the patient'"'"'s likely response to treatment protocols or suggested treatment options based on the analysis of the patient specific information with respect to the relevant historical patient data.

2. The system of claim 1, further comprising:

an indicator to prompt a user to provide specific information or conduct specific tests.

3. The system of claim 1, wherein the information output is in digital format.

4. The system of claim 1, wherein the system includes a biomath module for providing a mathematical representation of a biological system.

5. The system of claim 4, wherein the biomath module produces an aggressiveness index and/or individual aggressiveness scores for patients.

6. The system of claim 4, wherein the biomath module mathematically models molecular mechanisms.

7. The system of claim 1, wherein the system includes an intelligent system module for disease progression and outcome prediction.

8. The system of claim 7, wherein the system that includes the intelligent system module provides a prognosis for outcome and/or treatments based on non-linear analysis.

9. The system of claim 1, wherein the system includes a statistical module for identifications of relationship in data.

10. The system of claim 9, wherein the statistical module performs medical metrics and seeks to validate output of other modules.

11. The system of claim 1, wherein the system includes a rule based module for providing analysis protocol for diagnosis and treatment.

12. The system of claim 11, wherein the rule based module analyzes data through a complete ruling of standard protocol and compares and contrasts all module analysis outputs.

13. The system of claim 1, further comprising means for standardizing the data collected and updating the patient database.

14. The system of claim 13, further comprising means for prompting users to input data used to update the database after a predetermined time period has expired.

15. The system of claim 1, wherein the computer system is accessible through the Internet.

16. The system of claim 1, wherein the computer system is portable and enables a user to use the system at any location.

17. A system for updating a database of patient data that is used to simulate disease progression and identify relationships affecting disease treatment and outcome by analyzing patient specific data in the context of historical data, the system comprising:

means for automatically sending requests for follow up input and providing an incentive to do so;

means for receiving and/or storing the information in a defined format; and

means for updating the database with the information.

18. A system for diagnosing and predicting disease behavior, the system comprising:

a data storage system for storage of historical disease-related data from patients;

a data retrieval system for accessing the data storage system and retrieving information relevant to an analysis of a new patient; and

a data analysis system that analyzes the historical data and determines patterns which assist in diagnosing and predicting disease behavior in the new patient when data pertaining to the new patient is entered into the data analysis system.

19. A method for predicting disease progression in a given patient, the method comprising:

entering data specific to the patient;

comparing the specific given patient data with historical data stored from many other patients with the same disease;

conducting a statistical analysis relating to the behavior of the disease in the given patient with the historical data; and

outputting a resultant analysis that predicts the likelihood of disease outcomes in the given patient based on patterns discovered in the historical patient data.

20. A method of using a database of patient data to simulate disease progression and identify relationships affecting disease treatment and outcome by analyzing patient specific data in the context of historical data, the method comprising:

prompting the user to provide specific information with regard to a patient;

receiving patent specific data;

identifying and retrieve relevant historical patient data from a database of patient data;

analyzing the patient specific information with respect to the relevant historical patient data; and

outputting information as to the patient'"'"'s likely response to treatment protocols or suggested treatment options based on the analysis of the patient specific information with respect to the relevant historical patient data.