Chronic disease monitor

• US 6,277,071 B1
• Filed: 06/25/1999
• Issued: 08/21/2001
• Est. Priority Date: 06/25/1999
• Status: Expired due to Fees

• Current Assignee: Delphi Automotive Systems LLC (BorgWarner Incorporated)
• Original Assignee: Delphi Automotive Systems LLC (BorgWarner Incorporated)
• Inventors: Hennessy, Gary R., Larity, Ronald F.
• Primary Examiner(s): Lacyk, John P.
• Application Number:
  US09/340,211
• Time in Patent Office: 788 Days
• Field of Search: 600/300
• US Class Current: 600/300
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• 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 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

A system for monitoring a chronic disease is disclosed. The monitor includes a database for storing a plurality of patient data entries and sorts the patient data entries according to whether a test threshold is crossed. Each of the patient data entries includes personal information of a patient and a set of guidelines concerning the patient'"'"'s care. The guideline represents a plurality of rules concerning a patient'"'"'s care derived from accepted tests used to monitor the disease represented in an algorithm. A processor separates the patient entries designated by the user according to the test thresholds, such as for HbA1c, lipids, liver enzyme and microalbumin, for the disease of diabetes. If the test threshold value derived from the guideline is crossed, an alert sequence is activated, in which the patient is categorized as a high risk patient, the physician is notified, the patient is notified, the health care provider is notified, and the patient'"'"'s treatment plan is altered to treat the high risk patient.

Claims

1. A system for monitoring a chronic disease, comprising:

a database for storing a plurality of patient data entries, each of said patient data entries including personal information of a patient and a guideline concerning the patient'"'"'s care, said guideline including a default test value associated with monitoring said disease;

a user interface for displaying said patient data entries stored in said database and entering patient entries for storage in said database; and

a processor for retrieving patient data entries selected by said user interface from said data base and storing said patient data entries in accordance to an algorithm;

wherein said processor further separates said patient entries designated by said user interface according to said default test values stored in said guideline.

2. A system, as defined in claim 1, wherein said algorithm comprises a plurality of rules for comparing said patient data entries to said default test value to determine whether said default test value has been crossed.

3. A system, as defined in claim 2, wherein said processor, in response to a patient data entry inputted by a user, compares said patient data entries to said default test value and categorizes a patient as a high risk patient if said default test value has been crossed.

4. A system, as defined in claim 3, further comprising an off site user interface which communicates with said processor.

5. A system, as defined in claim 3, wherein said processor generates an alert for a patient having a patient data entry crossing said default test value.

6. A system, as defined in claim 3, wherein said patient data entry comprises a test result data electronically transferred from a meter device to said processor for storage in said database.

7. A system, as defined in claim 2, wherein said patient data entry comprises test result data electronically transferred from a blood glucose monitor device to said processor for storage in said database.

8. A system, as defined in claim 2, wherein said patient data entry comprises a test result data electronically transferred from an external laboratory to said processor for storage in said database.

14. A system, as defined in claim 2, wherein said patient data entry comprises test result data electronically transferred from a diagnostic monitoring device to said processor for storage in said database.

15. A system, as defined in claim 2, wherein said patient data entry comprises a test result data electronically transferred from a laboratory to said processor for storage in said database.

9. A system for monitoring a chronic disease, comprising:

a database for storing a plurality of patient data entries, each of said patient data entries including personal information of a patient and a guideline concerning the patient'"'"'s care, said guideline including a default test value associated with monitoring said disease;

a user interface for displaying said patient data entries stored in said database and entering patient entries for storage in said database; and

a processor for retrieving patient data entries selected by said user interface from said data base and storing said patient data entries in accordance to an algorithm;

wherein said processor further separates said patient entries designated by said user interface according to a test threshold for HbAlc stored in said guideline.

10. A system for monitoring a chronic disease, comprising:

a database for storing a plurality of patient data entries, each of said patient data entries including personal information of a patient and a guideline concerning the patient'"'"'s care, said guideline including a default test value associated with monitoring said disease;

a user interface for displaying said patient data entries stored in said database and entering patient entries for storage in said database; and

a processor for retrieving patient data entries selected by said user interface from said data base and storing said patient data entries in accordance to an algorithm;

wherein said processor further separates said patient entries designated by said user interface according to a test threshold for microalbumin stored in said guideline.

11. A system for monitoring a chronic disease, comprising:

a database for storing a plurality of patient data entries, each of said patient data entries including personal information of a patient and a guideline concerning the patient'"'"'s care, said guideline including a default test value associated with monitoring said disease;

a user interface for displaying said patient data entries stored in said database and entering patient entries for storage in said database; and

a processor for retrieving patient data entries selected by said user interface from said data base and storing said patient data entries in accordance to an algorithm;

wherein said processor further separates said patient entries designated by said user interface according to a test threshold for lipids stored in said guideline.

12. A system for monitoring a chronic disease, comprising:

a database for storing a plurality of patient data entries, each of said patient data entries including personal information of a patient and a guideline concerning the patient'"'"'s care, said guideline including a default test value associated with monitoring said disease;

a user interface for displaying said patient data entries stored in said database and entering patient entries for storage in said database; and

a processor for retrieving patient data entries selected by said user interface from said data base and storing said patient data entries in accordance to an algorithm;

wherein said processor further separates said patient entries designated by said user interface according to a test threshold for liver enzymes stored in said guideline.

13. A system for monitoring a chronic disease, comprising:

a database for storing a plurality of patient data entries, each of said patient data entries including personal information of a patient and a guideline concerning the patient'"'"'s care, said guideline including a default test value associated with monitoring said disease;

a user interface for displaying said patient data entries stored in said database and entering patient entries for storage in said database; and

a processor for retrieving patient data entries selected by said user interface from said data base and storing said patient data entries in accordance to an algorithm;

wherein said patient entries further comprise clinical notations concerning whether a patient has received a scheduled service and said processor further separates said patient entries designated by said user interface according to whether a patient has achieved a clinical event.

16. In a computer processing system, a method for monitoring a disease in a patient, comprising:

storing a treatment guideline defining at least one treatment step and a predetermined treatment monitoring threshold for the treatment step;

measuring a condition of the patient in accordance with the treatment step;

selectively comparing the measured condition to the treatment monitoring threshold;

if the measured condition exceeds the predetermined treatment monitoring threshold, generating a notification message; and

generating periodic notification messages of at least one of scheduled treatment steps, measured conditions, missed treatment steps, and a trend in measured conditions.

17. The method as set forth in claim 16, wherein the periodic notification messages are transmitted to at least one of the patient, a physician, and a health care plan administrator.

19. The method as set forth in claim 16, wherein the periodic notification messages are transmitted to a health care provider.

18. In a computer processing system, a method for customizing treatment of a disease to a particular patient, comprising:

providing a treatment guideline for the disease defining treatment steps and predetermined treatment monitoring thresholds for respective treatment steps;

measuring a condition of the particular patient at corresponding treatment steps;

customizing the treatment guideline by at least one of adding, changing and deleting treatment steps in accordance with a measured condition;

storing the customized treatment guideline and measured conditions of the particular patient; and

generating periodic notification messages of at least one of scheduled treatment steps, measured conditions, missed treatment steps, and a trend in measured conditions.