Method and system for computing trajectories of chronic disease patients

• US 20070198300A1
• Filed: 02/21/2006
• Published: 08/23/2007
• Est. Priority Date: 02/21/2006
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Cuddihy, Paul, Duckert, David, Cincotta, James
• Application Number:
  US11/358,559
• Publication Number:
  US 20070198300A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

The method and system includes producing a trajectory report to illustrate for the patient the benefit of complying with a prescribed treatment regimen. The method and system collects a set of physiological, self assessment, and compliance data from the patient, accesses a patient medical record database and a de-identified compliance and outcomes database, and calculates a clinical trajectory using a trajectory algorithm. The clinical trajectory is displayed for the patient on a graphical user interface, and illustrates for the patient the results of adhering to a prescribed treatment regimen compared to not adhering to the regimen. The method and system may be applied to any health condition that requires the patient to follow a treatment regimen.

Claims

1. A method of computing a set of clinical trajectories of a chronic disease patient, the method comprising:

collecting a set of patient data from the chronic disease patient;

accessing a database for a set of compiled data; and

calculating the set of clinical trajectories with a trajectory algorithm, wherein the trajectory algorithm utilizes the set of remote patient data and the set of compiled data.

2. The method as claimed in claim 1, wherein the database is a patient medical record database.

3. The method as claimed in claim 1, wherein the database is a de-identified compliance and outcomes database.

4. The method as claimed in claim 1, wherein the set of clinical trajectories includes:

a compliance trajectory, the compliance trajectory illustrating a first predicted patient condition when the chronic disease patient adheres to a prescribed treatment regimen;

a first non-compliance trajectory, the first non-compliance trajectory illustrating a second predicted patient condition when the chronic disease patient does not adhere to the prescribed treatment regimen; and

a second non-compliance trajectory, the second non-compliance trajectory illustrating a third predicted patient condition when the chronic disease patient partially adheres to the prescribed treatment regimen.

5. The method as claimed in claim 4, further comprising producing a trajectory report, wherein the trajectory report includes a comparison of any of the set of clinical trajectories.

6. The method as claimed in claim 5, further comprising displaying the trajectory report on a graphical user interface.

7. A system for computing a set of clinical trajectories of a chronic disease patient, the system comprising:

a remote sensing system configured to collect a set of patient data from the chronic disease patient;

a storage media for storing a computer application; and

a processing unit coupled to the remote sensing system and the storage media and configured to execute the computer application, and further configured to receive the set of patient data from the remote sensing system,

wherein when the computer application is executed, a database having a set of compiled data is accessed and a set of clinical trajectories is calculated with a trajectory algorithm, and further wherein the trajectory algorithm utilizes a set of remote patient data and a set of compiled data when the trajectory algorithm calculates the set of clinical trajectories.

8. The system as claimed in claim 7, wherein the database is a patient medical record database.

9. The system as claimed in claim 7, wherein the database is a de-identified compliance and outcomes database.

10. The system as claimed in claim 7, wherein the set of clinical trajectories includes:

a compliance trajectory, the compliance trajectory illustrating a first predicted patient condition when the chronic disease patient adheres to a prescribed treatment regimen;

a first non-compliance trajectory, the first non-compliance trajectory illustrating a second predicted patient condition when the chronic disease patient does not adhere to the prescribed treatment regimen; and

a second non-compliance trajectory, the second non-compliance trajectory illustrating a third predicted patient condition when the chronic disease patient partially adheres to the prescribed treatment regimen.

11. The system as claimed in claim 10, further comprising a trajectory report produced when the trajectory algorithm calculates the set of clinical trajectories, wherein the trajectory report includes a comparison of any of the set of clinical trajectories.

12. The system as claimed in claim 11, further comprising a graphical user interface configured to display the trajectory report.

13. A method of computing a set of clinical trajectories, the method comprising:

collecting a set of patient data from a chronic disease patient;

accessing a patient medical records database for a set of compiled patient medical data and a de-identified compliance and outcomes database for a set of compiled population sample data;

calculating the set of clinical trajectories with a trajectory algorithm, wherein the trajectory algorithm utilizes the set of remote patient data, the set of compiled patient medical data, and the set of compiled population sample data; and

producing a trajectory report, wherein the trajectory report includes a comparison of any of the set of clinical trajectories;

wherein the set of clinical trajectories includes a compliance trajectory, the compliance trajectory illustrating a first predicted patient condition when the chronic disease patient adheres to a prescribed treatment regimen;

a first non-compliance trajectory, the first non-compliance trajectory illustrating a second predicted patient condition when the chronic disease patient does not adhere to the prescribed treatment regimen; and

a second non-compliance trajectory, the second non-compliance trajectory illustrating a third predicted patient condition when the chronic disease patient partially adheres to the prescribed treatment regimen.

14. The method as claimed in claim 13, further comprising displaying the trajectory report on a graphical user interface.