Method and system for managing chronic disease and wellness online

• US 20010039503A1
• Filed: 04/26/2001
• Published: 11/08/2001
• Est. Priority Date: 04/28/2000
• Status: Abandoned Application

• Current Assignee: Bryan K. Chan, Lawrence F. Chu
• Original Assignee: Bryan K. Chan, Lawrence F. Chu
• Inventors: Chan, Bryan K., Chu, Lawrence F.
• Application Number:
  US09/844,933
• Publication Number:
  US 20010039503A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• 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 40/67 for remote operation
• 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 method and systems for managing a multi-domain health and wellness program using remotely located terminal devices, software agents and remotely stored participant information associated with definable access levels. The system referred to herein as Intelligent Health Management Technology (IHMT) system, provides assistance in regards to the management of chronic diseases in conjunction with multi-domain health and wellness programs. The system collects personal health information and medical record data and analyzes the information, and simulates medical decision-making process and is based on general medical decision making principles, common sense principles, and specific logic for a given IHMT module. As a result, customized recommendations are provided and may include computer generated recommendations and input from participating third parties (i.e., doctors, dieticians, pharmacists etc.).

Claims

1. A method for managing diseases and wellness online, the method comprising:

receiving patient data over a network from a user regarding a health condition;

filtering the patient data according to a first database to produce filtered patient data;

performing an analysis of the patient data; and

outputting, in response to the received patient data, a medical recommendation of the health condition based on a second database, wherein the medical recommendation includes what the user is suggested to do in regarding to the health condition.

2. The method of

claim 1

, wherein the receiving of the patient data comprises:

verifying the user by looking up an account associated with the user;

requiring the user to set up the account if the account can not be verified; and

composing a number of questions based on the first database in conjunction with the account if the account can be verified.

3. The method of

claim 2

, wherein the account lists the health condition about the user and wherein the first database includes common knowledge database about the health condition, the knowledge database being constantly updated with other related servers on the network.

4. The method of

claim 3

, wherein the patient data includes answers from the user to the questions.

5. The method of

claim 1

, wherein the receiving of the patient data comprises receiving diagnostic data from a diagnostic test device.

6. The method of

claim 1

, wherein the patient data includes diagnostic data from a diagnostic test device.

7. The method of

claim 1

, wherein the first database includes common knowledge database about the health condition, the knowledge database being constantly updated with other related servers on the network, and the filtering of the patient data according to the first database comprises discarding some of the patient data that are not so related to the health condition;

and requesting correction or verification on other of the patient data when the other of the patient data appears abnormal according to the first database.

8. The method of

claim 7

, wherein the analysis includes a statistical analysis and a medical analysis of the patient data.

9. The method of

claim 8

, wherein the performing of the analysis of the patient data comprises:

obtaining statistical features of the patient data through the statistical analysis;

determining possible causes related to the health condition out of the patient data in conjunction with the statistical features.

10. The method of

claim 9

, wherein the statistical analysis includes a fundamental statistics, a data variability analysis, and a trend forecasting.

11. The method of

claim 10

, wherein some of the statistical features by the fundamental statistics include mean, mode, max, min, ratios and fractions to determine an appropriate sorting algorithm.

12. The method of

claim 10

, wherein the variability analysis determines how significant the patient data is as well as the patient data is distributed.

13. The method of

claim 10

, wherein the trend forecasting includes a projection of the patient data, computation of trends with respect to the patient data using one or more mathematical methods.

14. The method of

claim 13

, wherein the one or more mathematical methods include one or more of linear and/or non-linear regression techniques, curve-fitting methods and numerical analyses.

15. The method of

claim 8

, wherein the performing of the analysis of the patient data comprises, through the medical analysis, evaluating a state of the health condition using a medically related logic, risk stratification, and protocols/algorithms/guidelines that pertain to the health condition.

16. The method of

claim 15

, wherein the medically related logic is a medical modeling logic that simulates a medical decision-making process and is based on general medical decision making principles.

17. The method of

claim 15

, wherein the medically related logic is a medical modeling logic that is based on branch/tree logic and hash or hash-like array memory structures.

18. The method of

claim 1

, wherein the second database is a medical management knowledgebase including static and/or dynamic information from multiple sources pertaining to the health condition.

19. The method of

claim 18

, wherein the health condition includes one of a chronic disease and/or a health question.

20. The method of

claim 1

, wherein the receiving of the patient data over the network comprises:

maintaining an account associated with the user; and

updating the account with the patient data related to the health condition.

21. A method for managing diseases and wellness online, the method comprising:

maintaining an account associated with a user having a health condition;

receiving over a network a request from the user to access the account;

composing a number of questions from the account after the user is authenticated;

receiving data from the user in response to the questions, wherein the data includes answers to the questions and/or diagnostic data received from a diagnostic test device pertaining to the health condition;

filtering the patient data according to a first database to produce filtered patient data, wherein the first database includes common knowledge database about the health condition and is being constantly updated with other related servers on the network;

performing an analysis of the patient data; and

providing to the user a medical recommendation of the health condition based on a second database, wherein the medical recommendation includes what the user is suggested to do in regarding to the health condition.

22. The method of

claim 21

, wherein the second database is a medical management knowledgebase including static and/or dynamic information from multiple sources pertaining to the health condition.

23. The method of

claim 22

, wherein the health condition includes one of a chronic disease and a health question.

24. The method of

claim 21

, wherein the account is maintained in a server coupled to the network, and wherein the request is generated from a terminal device being used by the user, the request being an IP request including an address identifying the server.

25. The method of

claim 24

, wherein the terminal device is capable of data communication with the server over the network and includes a display screen to display the medical recommendation.

26. The method of

claim 25

, wherein the terminal device is selected from a group consisting of a personal computer, a network enabled cellular phones, a portable computing device and a personal digital assistant.

27. The method of

claim 24

, wherein the medical recommendation is in a format of a markup language displayable on the terminal device.

28. The method of

claim 21

, wherein the composing of the number of questions comprises generating the questions about the user in reference to the health condition and further in reference to the first database.

29. The method of

claim 21

, wherein the performing of the analysis of the patient data comprises:

obtaining statistic features of the patient data through the statistic analysis;

determining possible causes related to the health condition out of the patient data in conjunction with the statistic features.

30. The method of

claim 29

, wherein the statistical analysis includes a fundamental statistics, a data variability analysis, and a trend forecasting.

31. The method of

claim 30

, wherein some of the statistic features by the fundamental statistics include mean, mode, max, min, ratios and fractions to determine an appropriate sorting algorithm.

32. The method of

claim 30

, wherein the variability analysis determines how significant the patient data is as well as the patient data is distributed.

33. The method of

claim 30

, wherein the trend forecasting includes a projection of the patient data, computation of trends with respect to the patient data using one or more mathematical methods.

34. The method of

claim 33

, wherein the one or more mathematical methods include one or more of linear and/or non-linear regression techniques, curve-fitting methods and numerical analyses.

35. The method of

claim 21

, wherein the performing of the analysis of the patient data comprises, through the medical analysis, evaluating a state of the health condition using a medically related logic, risk stratification, and protocols/algorithms/guidelines that pertain to the health condition.

36. The method of

claim 35

, wherein the medically related logic is a medical modeling logic that simulates a medical decision-making process and is based on general medical decision making principles.

37. The method of

claim 35

, wherein the medically related logic is a medical modeling logic that is based on branch/tree logic and/hash or hash-like array memory structures.

40. The machine-readable medium of

claim 37

, wherein the account lists the health condition about the user and wherein the first database includes common knowledge database about the health condition, the knowledge database being constantly updated with other related servers on the network.

41. The machine-readable medium of

claim 40

, wherein the patient data includes answers from the user to the questions.

42. The machine-readable medium of

claim 37

, wherein the program code for receiving the patient data comprises program code for receiving diagnostic data from a diagnostic test device.

38. A machine-readable medium embodying instructions for execution by a processor, the instructions, when executed by the processor, causing the processor to produce structured documents, the machine-readable medium comprising:

program code for receiving patient data over a network from a user regarding a health condition;

program code for filtering the patient data according to a first database to produce filtered patient data;

program code for performing an analysis of the patient data; and

program code for outputting, in response to the received patient data, a medical recommendation of the health condition based on a second database, wherein the medical recommendation includes what the user is suggested to do in regarding to the health condition.

39. The machine-readable medium of

claim 38

, wherein the program code for receiving the patient data comprises:

program code for verifying the user by looking up an account associated with the user;

program code for requiring the user to set up the account if the account can not be verified; and

program code for composing a number of questions based on the first database in conjunction with the account if the account can be verified.

43. The machine-readable medium of

claim 38

, wherein the patient data includes diagnostic data from a diagnostic test device.

44. The machine-readable medium of

claim 38

, wherein the first database includes common knowledge database about the health condition, the knowledge database being periodically updated with other related servers on the network, and the program code for filtering the patient data according to the first database comprises program code for discarding some of the patient data that are not so related to the health condition;

and program code for requesting correction or verification on other of the patient data when the other of the patient data appears abnormal according to the first database.

45. The machine-readable medium of

claim 44

, wherein the analysis includes a statistical analysis and a medical analysis of the patient data.

46. The machine-readable medium of

claim 45

, wherein the program code for performing the analysis of the patient data comprises:

program code for obtaining statistical features of the patient data through the statistical analysis; and

program code for determining possible causes related to the health condition out of the patient data in conjunction with the statistical features.

47. The machine-readable medium of

claim 46

, wherein the statistical analysis includes a fundamental statistics, a data variability analysis, and a trend forecasting.

48. The machine-readable medium of

claim 47

, wherein some of the statistical features by the fundamental statistics include mean, mode, max, min, ratios and fractions to determine an appropriate sorting algorithm.

49. The machine-readable medium of

claim 47

, wherein the variability analysis determines how significant the patient data is as well as the patient data is distributed.

50. The machine-readable medium of

claim 49

, wherein the one or more mathematical methods include one or more of linear and/or non-linear regression techniques, curve-fitting methods and numerical analyses.

51. The machine-readable medium of

claim 45

, wherein the program code for performing the analysis of the patient data comprises, through the medical analysis, evaluating a state of the health condition using a medically related logic, risk stratification, and protocols/algorithms/guidelines that pertain to the health condition.

52. The machine-readable medium of

claim 51

, wherein the medically related logic is a medical modeling logic that simulates a medical decision-making process and is based on general medical decision making principles.

53. The machine-readable medium of

claim 51

, wherein the medically related logic is a medical modeling logic that is based on branch/tree logic and hash or hash-like array memory structures.

54. The machine-readable medium of

claim 38

, wherein the second database is a medical management knowledgebase including static and/or dynamic information from multiple sources pertaining to the health condition.