Disease simulation system and method

• US 7,937,254 B2
• Filed: 11/06/2006
• Issued: 05/03/2011
• Est. Priority Date: 01/10/1997
• Status: Expired due to Fees

• Current Assignee: Health Hero Network Incorporated (Robert Bosch GmbH)
• Original Assignee: Health Hero Network Incorporated (Robert Bosch GmbH)
• Inventors: Brown, Stephen J.
• Primary Examiner(s): JONES, HUGH M
• Application Number:
  US11/556,960
• Publication Number:
  US 20070078681A1
• Time in Patent Office: 1,639 Days
• Field of Search: 703/6
• US Class Current: 703/6
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/6896 Toys
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G01N 2035/00891 Displaying information to the operator
• CPC Class Codes: G01N 33/48792 Data management, e.g. communication with processing unit for in vivo diagnostics A61B5/0002; transmission systems for measured values G08C
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 20/13 delivered from dispensers
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics

Abstract

A system and method for predicting the effect of patient self-care actions on a disease control parameter. A future disease control parameter value X(t_j) at time t_j is determined from a prior disease control parameter value X(t_i) at time t_i based on an optimal control parameter value R(t_j) at time t_j, the difference between the prior disease control parameter value X(t_i) and an optimal control parameter value R(t_i) at time t_i, and a set of differentials between patient self-care parameters having patient self-care values S_M(t_i) at time t_i and optimal self-care parameters having optimal self-care values O_M(t_i) at time t_i. The differentials are multiplied by corresponding scaling factors K_M. The system includes an input device for entering the patient self-care values S_M(t_i). A memory stores the optimal control parameter values R(t_i) and R(t_j), the prior disease control parameter value X(t_i), the optimal self-care values O_M(t_i), and the scaling factors K_M. A processor in communication with the input device and memory calculates the future disease control parameter value X(t_j). A display is connected to the processor to display the future disease control parameter value X(t_j) to a patient.

Claims

1. A system configured to determine a future disease control value comprising:

a measuring device configured to record a plurality of measured disease control values;

a memory configured to store (i) a plurality of optimal disease control values at a plurality of times, (ii) a plurality of optimal self-care values of a patient at said times, (iii) said plurality of measured disease control values at said times, and (iv) a plurality of self-care values at said times; and

a processor unit configured to read from the memory, said processor unit programmed to (A) generate a plurality of scaling factors customized to said patient in response to changes in any one of said self-care values or said measured disease control values at any one of said times and (B) calculate the future disease control value based on (i) a plurality of differentials, one of said differentials calculated as one of the scaling factors multiplied by first differences between one of the self-care values and one of the optimal self-care values, (ii) a sum of the differentials plus, (iii) a second difference between one of the measured disease control values and a corresponding one of the optimal disease control values and (iv) an addition of the second difference to the sum of the differentials.

2. The system according to claim 1, wherein the measured disease control values comprise a prior disease control value.

3. The system according to claim 1, wherein the memory comprises a data storage card.

4. The system according to claim 1, further comprising a housing, wherein the memory and the processor unit are housed within said housing, and further comprising an output port, said output port being integral with said housing, thereby providing a hand-held, transportable device.

5. The system according to claim 4, wherein the measuring device is arranged within said housing.

6. The system according to claim 1, further comprising a display configured to display said future disease control value.

7. The system according to claim 6, wherein said display is configured to show the future disease control value and the measured disease control values in graphical form.

8. The system according to claim 1, wherein the measuring device further comprises one or more monitoring devices configured to collect one or more measurements of a physiological condition of the patient.

9. The system according to claim 8, wherein the one or more monitoring devices receive the one or more measurements from one or more sensors, the sensors measuring the one or more measurements of the physiological condition, a respiratory flow, a weight-related condition, a heart related condition, a blood pressure and an electrical activity of the patient.

10. A system configured to determine a future disease control value comprising:

a measuring device configured to record a plurality of measured disease control values;

a processor unit configured to communicate with the measuring device to receive the measured disease control values;

a memory configured to store (i) a plurality of optimal disease control values at a plurality of times, (ii) a plurality of optimal self-care values of a patient at said times, (iii) said plurality of measured disease control values at said times, and (iv) a plurality of self-care values at said times; and

a server configured to read from the memory, said server programmed to (A) generate a plurality of scaling factors customized to said patient in response to changes in any one of said self-care values or said measured disease control values at any one of said times and (B) calculate the future disease control value based on (i) a plurality of differentials, one of said differentials calculated as one of the scaling factors multiplied by first differences between one of the self-care values and the corresponding optimal self-care values, (ii) a sum of the differentials plus, (iii) a second difference between one of the measured disease control values and a corresponding one of the optimal disease control values and (iv) an addition of the second difference to the sum of the differentials.

11. The system according to claim 10, wherein said server is configured to communicate with said processor unit via at least one communication network.

12. The system according to claim 11, wherein the at least one communication network comprises a network type or a combination of two or more network types including wireless networks, cellular networks, telephone networks, satellite networks, broadcast networks, digital broadcast networks, digital television networks and cable networks.

13. The system according to claim 10, wherein said server comprises a world wide web server.

14. The system according to claim 10, wherein said measuring device is configured to communicate with said server via a wireless network.

15. A method for determining a future disease control value comprising the steps of:

storing in one or more computer readable storage media (i) a plurality of measured disease control values at a plurality of times, (ii) a plurality of optimal disease control values of a patient at said times, (iii) a plurality of optimal self-care values at said times, and (iv) a plurality of self-care values at said times;

generating a plurality of scaling factors customized to said patient in response to changes in any one of said self-care values or said measured disease control values at any one of said times; and

calculating the future disease control value, said calculating comprising (i) a plurality of differentials, one of said differentials calculated as one of the scaling factors multiplied by first differences between one of the self-care values and one of the optimal self-care values, (ii) a sum of the differentials plus, (iii) a second difference between one of the measured disease control values and a corresponding one of the optimal disease control values and (iv) an addition of the second difference to the sum of the differentials.

16. The method according to claim 15, wherein the one or more computer readable storage media comprise a memory.

17. The method according to claim 15, wherein the one or more computer readable storage media comprise a smart card.

18. A system configured to determine a future disease control value comprising:

a memory configured to store (i) a plurality of optimal disease control values at a plurality of times, (ii) a plurality of optimal self-care values of a patient at said times, (iii) a plurality of measured disease control values at said times, and (iv) a plurality of self-care values at said times; and

a server configured to read from the memory, said server programmed to (A) generate a plurality of scaling factors customized to said patient in response to changes in any one of said self-care values or said measured disease control values at any one of said times and (B) calculate the future disease control value based on (i) a plurality of differentials, one of said differentials calculated as one of the scaling factors multiplied by first differences between one of the self-care values and the corresponding optimal self-care values, (ii) a second difference between one of the measured disease control values and a corresponding one of the optimal disease control values, (iii) a future one of the optimal disease control values and (iv) an addition of the future optimal disease control value to the second difference and to the first differences.

19. The system according to claim 18, further comprising a display configured to display said future disease control value.