Systems and methods for disease control and management

• US 20080306770A1
• Filed: 02/21/2008
• Published: 12/11/2008
• Est. Priority Date: 02/22/2007
• Status: Active Grant

• Current Assignee: WellDoc, Inc
• Original Assignee: WellDoc, Inc
• Inventors: Minor, James M., Sysko, Ryan A., Iyer, Anand K., Sysko, Suzanne K., Fletcher, Andrew V.
• Granted Patent: US 9,754,077 B2
• 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 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

Methods, computer-readable media, and systems for providing disease management. In one implementation, a system develops a treatment recommendation for a patient based on patient data. The system may receive patient data, execute a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data, perform a statistical analysis of the patient data to detect data excursions of the parameter values; use the modified model to determine factors causing the data excursions; and use the model to develop a treatment recommendation to ameliorate negative effects of the disease.

Claims

1. A system for management of a patient having a disease, comprising:

an input device for receiving patient data;

a transmitter for transmitting the received patient data from the input device; and

a disease management server, comprising;

a receiver for receiving the transmitted patient data;

a processor for;

executing a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data;

performing a statistical analysis of the patient data to detect data excursions of the parameter values;

using the modified model to determine factors causing the data excursions; and

using the model to develop a treatment recommendation to ameliorate negative effects of the disease; and

an output device for outputting the treatment recommendation.

2. The system of claim 1, wherein the patient data comprises values of parameters including:

(a) patient carbohydrate intake,

(b) patient medication doses,

(c) blood glucose level, and

(d) the corresponding time for the data.

3. The system of claim 1, wherein the processor generates a treatment recommendation, comprising at least one of a recommendation for dosing and timing of medication, and a recommendation for patient dietary behavior.

4. The system of claim 1, wherein executing the model comprises applying an algorithm to the patient data in a current state in conjunction with auxiliary patient data comprising patient blood lipid level, blood pressure, age, gender, height and weight, and race.

5. The system of claim 1, wherein the processor is further configured to develop recommendations for collection of the patient data to improve the model, wherein the collection recommendations comprise recommendations for timing of blood glucose measurement.

6. The system of claim 1, wherein the treatment recommendations are developed at a plurality of predetermined intervals.

7. The system of claim 6, wherein the intervals are determined based on a most-recent patient data collection time.

8. The system of claim 1, wherein the processor is further configured for performing the statistical analysis employing a statistical design of experiments methodology to identify the factors causing the data excursions.

9. The system of claim 1, wherein the treatment recommendations comprise a recommended time and dose of medication, including recommended combinations of available medications.

10. The system of claim 1, wherein the treatment recommendations comprise a recommended time and amount of carbohydrate intake.

11. The system of claim 1, wherein the input device is a patient-interactive interface operated by the patient.

12. The system of claim 11, further comprising a portable device configured to operate the patient-interactive interface and the transmitter, wherein the transmitter transmits signals over a wireless communication to the disease management server.

13. The system of claim 12, further comprising a physician interface operable to receive information about the patient from the disease management server.

14. The system of claim 1, wherein the patient data is calibrated at a plurality of reading points to provide more information on pharmacodynamic interactions of the patient

15. The system of claim 1, wherein generating the modified model comprises utilizing equations that simulate interaction of primary factors effecting rate of change of the blood glucose of the patient, wherein the primary factors are calculated based on the patient data.

16. The system of claim 15, wherein the primary factors comprise rate of digestion of the patient carbohydrate intake, cellular uptake of blood glucose by the patient, and impact of glucose inventory in liver, skeletal muscle, and fat tissues of the patient.

18. The system of claim 2, wherein the patient data further comprises activity of the patient.

19. A computer-readable media storing a program for causing a computer to perform a method for generating treatment recommendations for a patient, the method comprising:

receiving transmitted patient data;

executing a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data;

performing a statistical analysis of the patient data to detect data excursions of the parameter values;

using the modified model to determine factors causing the data excursions;

using the model to develop a plurality of treatment recommendations to ameliorate negative effects of the disease; and

outputting the treatment recommendations.

17. The system of claim 21, wherein:

an equation for the cellular uptake is a function of the blood glucose level, level of insulin acting as a catalyst, resistance factors, and digestive-activated hormones, and

wherein the level of insulin is calculated based on the patient medication doses, patient pancreatic production, and insulin kinetics.

20. The computer-readable media according to claim 19, wherein the patient data comprises values of parameters including:

(a) patient carbohydrate intake,

(b) patient medication doses,

(c) blood glucose level, and

(d) the corresponding time for the data.

21. The computer-readable media according to claim 19, wherein the plurality of treatment recommendations comprise recommendations for dosing and timing of medication, and for patient dietary behavior.

22. The computer-readable media according to claim 19, wherein executing the model comprises applying an algorithm to the patient data in a current state in conjunction with auxiliary patient data comprising patient blood lipid level, blood pressure, age, gender, height and weight, and race.

23. The computer-readable media according to claim 19, wherein the processor is further configured to develop recommendations for collection of the patient data to improve the model, wherein the collection recommendations comprise recommendations for timing of blood glucose measurement.

24. The computer-readable media according to claim 19, wherein performing the statistical analysis comprises employing a statistical design of experiments methodology to identify the factors causing the data excursions.

25. A method for generating treatment recommendations for a patient, comprising:

receiving transmitted patient data;

executing a basic model of the physiological system of the patient to generate a modified model for the patient based on the patient data;

performing a statistical analysis of the patient data to detect data excursions of the parameter values;

using the modified model to determine factors causing the data excursions;

using the model to develop a plurality of treatment recommendations to ameliorate negative effects of the disease; and

outputting the treatment recommendations.