Home diagnostic system

• US 20070185391A1
• Filed: 12/22/2006
• Published: 08/09/2007
• Est. Priority Date: 12/22/2005
• Status: Active Grant

• Current Assignee: Lachesis Biosciences Limited
• Original Assignee: Lachesis Biosciences Pty., Ltd.
• Inventors: Morgan, Timothy
• Granted Patent: US 8,388,532 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• 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 5/7275 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: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A diagnostic system is disclosed. In one embodiment, the system includes i) an input interface for use by a person to submit user profile data, physical data and psychological data to the system, the physical data representing heart rate, blood pressure, and other biophysical parameters of the person, the psychological data representing quality of life and needs satisfaction and other psychological parameters of the person, ii) an analyzer for processing the physical data and psychological data to generate risk profile data based on criteria data for conditions and iii) an output interface for providing risk profile displays using the risk profile data to present for the person risk levels associated with the conditions.

Claims

1. A diagnostic system, comprising:

an input interface configured to receive at least one of user profile data, physical data and psychological data from a user, wherein the physical data includes at least one of heart rate, blood pressure, and other biophysical parameters of the user, and wherein the psychological data includes at least one of quality of life, needs satisfaction and other psychological parameters of the user;

an analyzer configured to process the physical data and psychological data to generate risk profile data based on criteria data for conditions; and

an output interface configured to provide a risk profile based on the risk profile data, wherein the risk profile presents to the user risk levels associated with the conditions.

2. A diagnostic system as claimed in claim 1, further comprising:

a diagnostic kit including diagnostic equipment for use by the user to obtain the physical data

3. A diagnostic system as claimed in claim 1, wherein the other biophysical parameters include at least one of:

(i) body mass index (BMI) parameters;

(ii) a waist circumference parameter;

(iii) a triglycerides (TG) parameter;

(iv) a cholesterol parameter;

(v) a fasting glucose (FG) parameter; and

(vi) a heart rate parameter.

4. A diagnostic system as claimed in claim 3, wherein the conditions relate to unsatisfactory levels of the parameters as determined by the criteria data, and the conditions include metabolic syndrome.

5. A diagnostic system as claimed in claim 4, wherein the analyzer is further configured to process the submitted data to generate metric data including parameters for comparison against the criteria data.

6. A diagnostic system as claimed in claim 5, wherein the psychological parameters include basic needs satisfaction inventory (BNSI) parameters, and the analyzer, using the BNSI parameters, is further configured to generate metric data representing satisfaction scores for BNSI categories.

7. A diagnostic system as claimed in claim 6, wherein the psychological parameters include health related quality of life survey score parameters, and the analyzer, using the survey score parameters, is configured to generate metric data representing physical and mental health score parameters.

8. A diagnostic system as claimed in claim 7, wherein the analyzer is further configured to generate the risk profile data using the user profile data, the parameters, the metric data, and the criteria data.

9. A diagnostic system as claimed in claim 8, wherein the analyzer is further configured to generate recommendation data based on the user profile data, the parameters, the metric data, and the criteria data, the recommendation data representing recommendations for the user relating to the conditions.

10. A diagnostic system as claimed in claim 9, wherein the risk profile includes recommendations based on the recommendation data.

11. A diagnostic system as claimed in claim 10, wherein the recommendation data includes activity data representing activities to be performed by the user.

12. A diagnostic system as claimed in claim 11, wherein the user profile data includes resource level data for the user, and the activity data is generated based on the resource level data for the user and for the activities.

13. A diagnostic system as claimed in claim 11, wherein the recommendations represent prevention and intervention recommendations.

14. A diagnostic system as claimed in claim 11, wherein the input interface includes an interface configured to submit compliance data representing compliance by the user with the recommendations.

15. A diagnostic system as claimed in claim 11, wherein the system is connected to a communications network and the input and output interfaces are accessed by the user using a client device to submit the data and receive the risk profile.

16. A diagnostic system as claimed in claim 15, wherein the communications network includes the Internet, and the client device includes a browser configured to access and render the interfaces.

17. A diagnostic system as claimed in claim 11, wherein the system is configured to store data submitted by the user at different times as historical data, and the analyzer is further configured to display the risk profile based on the historical data.

18. A diagnostic system as claimed in claim 11, wherein the risk profile is presented in the form of a report document.

19. A diagnostic system as claimed in claim 5, wherein the blood pressure parameters include a systolic blood pressure (SBP) parameter and a diastolic blood pressure (DBP) parameter.

20. A diagnostic system as claimed in claim 19, wherein the analyzer is further configured to generate metric data parameters using the waist circumference parameter, gender and ethnicity parameters of the user profile data, the TG parameter, the cholesterol parameter, the blood pressure parameters and the FG parameter to generate risk profile data for metabolic syndrome.

21. A diagnostic system as clamed in claim 11, wherein the body mass index parameters include height and weight of the user, and are used to generate metric data representing the body mass index (BMI) for the user.

22. A diagnostic system as claimed in claim 11, wherein the activity data is generated with an activity level for each BNSI category based on the score for the category.

23. A diagnostic system as clamed in claim 21, wherein the recommendation data for diet and exercise is generated on the basis of the BMI metric data and recommendation data generated using the waist circumference, TG, cholesterol, blood pressure, and FG parameters.

44. A system as clamed in claim 1, wherein the output interface is further configured to display the risk profile.

24. A diagnostic system, comprising:

an input interface configured to receive at least one of physical data and psychological data and user profile data from a user, wherein the physical data and psychological data includes at least one of blood pressure, needs satisfaction and other physical and psychological parameters of the user;

an analyzer configured to process the physical data and psychological data and user profile data to generate activity recommendation data based on attribute data for different activities; and

an output interface configured to display, using the activity recommendation data, activity recommendations to address at least one condition.

25. A diagnostic system as claimed in claim 24, wherein the user profile data includes resource level data for the user, and the activity data is generated based on the resource level data for the user and for the activities.

26. A method of providing a user with a diagnosis, comprising:

receiving physical data and psychological data from a user, wherein the physical data and psychological data includes blood pressure and other parameters of the user;

processing the physical data and psychological data to generate results data based on criteria data for conditions, and generate recommendation data using the results data and

providing, based on the results data and the recommendation data, the user with a risk level associated the conditions and activities to address the conditions, wherein the method is executed by a diagnostic system.

27. A method as claimed in claim 26, wherein the other parameters include at least one of:

(i) body mass index (BMI) parameters;

(ii) a waist circumference parameter;

(iii) a triglycerides (TG) parameter;

(iv) a cholesterol parameter;

(v) a fasting glucose (FG) parameter; and

(vi) a heart rate parameter.

28. A method as claimed in claim 27, wherein the conditions relate to unsatisfactory levels of the parameters as determined by the criteria data, and the conditions include metabolic syndrome.

29. A method as claimed in claim 28, wherein the parameters include basic needs satisfaction inventory (BNSI) parameters, and the BNSI parameters are used to generate results data representing satisfaction scores for BNSI categories.

30. A method as claimed in claim 28, wherein the parameters include health related quality of life survey score parameters, and the survey score parameters are used to generates results data representing physical and mental health score parameters.

31. A method as claimed in claim 30, further including generating risk profile data using the results data and the criteria data.

32. A method as claimed in claim 31, wherein the recommendation data is generated based on user profile data for the user, and the results data.

33. A method as claimed in claim 32, wherein the recommendation data includes activity data representing the activities to be performed by the user.

34. A method as claimed in claim 33, wherein the user profile data includes resource level data for the user, and the activity data is generated based on the resource level data for the user and for the activities.

35. A method as claimed in claim 33, wherein the recommendations represent prevention and intervention recommendations.

36. A method as claimed in claim 33, further including providing an interface configured to submit compliance data representing compliance by the user with the recommendations.

37. A method as claimed in claim 33, further including storing data submitted by the user at different times as historical data, and the historical data to generate the results data.

38. A process as claimed in claim 33, wherein the blood pressure parameters include a systolic blood pressure (SBP) parameter and a diastolic blood pressure (DBP) parameter.

39. A method as claimed in claim 38, further including using the waist circumference parameter, gender and ethnicity parameters of the user profile data, the TG parameter, the cholesterol parameter, the blood pressure parameters and the FG parameter to generate results data for metabolic syndrome.

40. A method as clamed in claim 33, wherein the body mass index parameters include height and weight of the user, and are used to generate results data representing the body mass index (BMI) for the user.

41. A method as clamed in claim 33, wherein the activity data is generated with an activity level for each BNSI category based on the score for the category.

42. A method as clamed in claim 41, wherein the recommendation data for diet and exercise is generated on the basis of the BMI results data and recommendation data generated using the waist circumference, TG, cholesterol, blood pressure, and FG parameters.

45. A method as claimed in claim 26, wherein the providing includes displaying the risk level.

43. One or more processor-readable storage devices having processor-readable code embodied on the processor-readable storage devices, the processor-readable code for programming one or more processors to perform a method of providing a user with a diagnosis, comprising:

receiving physical data and psychological data from a user, wherein the physical data and psychological data includes blood pressure and other parameters of the user;

processing the physical data and psychological data to generate results data based on criteria data for conditions, and generate recommendation data using the results data and

providing a display based on the results data and the recommendation data to present for the user a risk level associated the conditions and activities to address the conditions.

46. A diagnostic system, comprising:

means for receiving physical data and psychological data from a user, wherein the physical data and psychological data includes blood pressure and other parameters of the user;

means for processing the physical data and psychological data to generate results data based on criteria data for conditions, and generate recommendation data using the results data and

means for providing, based on the results data and the recommendation data, the user with a risk level associated the conditions and activities to address the conditions.