Sunday, December 7, 2008

Disease management system and method

Abstract
One aspect of the invention is directed to a system and method for automated knowledge-based, long-term patient disease management. Disease management is directed to the continuing medical care of a patient who has been diagnosed with a specified health problem called a disease. The system performs disease management in a fully automated manner, using periodic interactive dialogs with the patient to obtain health state measurements from the patient, to evaluate and assess the progress of the patient's disease, to review and adjust therapy to optimal levels, and to give the patient medical advice for administering treatment and handling symptom flare-ups and acute episodes of the disease. One goal of the disease management system is to promote patient health in an automated manner that reduces costly medical intervention. Various features of the system are specifically designed to accumulate and use patient-specific information, so that disease management can be tailored to each...

Patent number: 6234964
Filing date: Mar 13, 1998
Issue date: May 22, 2001
Inventor: Edwin C. Iliff
Assignee: First Opinion Corporation

Claims

What is claimed is:

1. A computerized disease management method, comprising:

providing at least one interactive dialog to a patient via a computer so as to elicit current health conditions of the patient;
automatically assessing the current health conditions of the patient through the interactive dialog with the patient, wherein the patient has been previously diagnosed with a particular disease; and
automatically optimizing a disease therapy based on the health assessment, which is indicative of a progression of the disease over time, of the patient.

2. The method of claim 1, additionally comprising scheduling a reenter time for the patient.

3. The method of claim 2, wherein the reenter time is a regularly scheduled time.

4. The method of claim 3, wherein the reenter time is different from the regularly scheduled time.

5. The method of claim 2, wherein the acts are repeatedly performed over time.

6. A computerized disease management method, comprising:

retrieving a patient medical record, corresponding to a particular patient having a previously diagnosed medical disease, from a memory;
assessing the health of the patient, comprising:
automatically asking questions of the patient;
automatically receiving answers from the patient so as to obtain health data;
automatically storing the obtained health data into the patient medical record;
automatically selecting a specific health parameter corresponding to a portion of the patient medical record;
automatically calculating changes from prior disease management sessions in the patient's health state as indicated by the health parameter, the calculated changes being indicative of a progression of the disease over time;
automatically comparing the health state changes against disease specific changes for the medical disease; and
automatically outputting data indicative of adjusting a disease therapy for the particular patient based on the obtained health data and the comparison.

7. The method defined in claim 6, additionally comprising:

establishing a current disease management session;
determining if the particular patient having the previously diagnosed medical disease has previously registered for a disease management session; and
registering the patient and initializing the patient medical record in the electronic medical database if the patient has not previously registered for a disease management session.

8. The method defined in claim 6, wherein the obtained health data involves subjective health measurements, objective health measurements, and side effects with respect to the patient.

9. The method defined in claim 6, wherein the patient medical record is stored in an electronic medical database.

10. The method defined in claim 6, additionally comprising statistically analyzing the obtained health data, wherein the analyzing comprises:

providing a subjective health measurement in corresponding to the particular patient;
providing an objective health measurement in corresponding to the particular patient; and
calculating a metric based on the subjective health measurement and the objective health measurement, wherein the metric may be used to adjust the disease therapy.

11. The method of claim 10, wherein the acts are repeatedly performed over time.

12. The method of claim 11, wherein a plurality of metrics are statistically analyzed.

13. The method of claim 10, wherein the metric is a ratio.

14. The method of claim 10, additionally comprising adjusting the disease therapy for the patient based on the metric.

15. The method defined in claim 6, wherein adjusting the disease therapy minimizes medical side effects for the patient.

16. The method of claim 6, additionally comprising scheduling a next disease management session for the particular patient.

17. The method of claim 16, wherein the next disease management session for the particular patient is at a regularly scheduled time.

18. The method of claim 17, wherein the next disease management session for the particular patient is at a time that is different than the regularly scheduled time.

19. The method of claim 16, wherein the acts are repeatedly performed over time.

20. The method of claim 6, wherein the disease therapy is adjusted for the particular patient if a threshold is reached during the comparing.

21. The method of claim 6, wherein a medical recommendation for the particular patient is made if a threshold is reached.

22. The method of claim 6, wherein the health parameter is a plurality of health parameters including an objective parameter.

23. The method of claim 6, wherein the health parameter is a plurality of health parameters including a subjective parameter.

24. The method of claim 6, wherein adjusting the disease therapy comprises:

determining the availability of objective health measurements and subjective health measurements for the particular patient having the previously diagnosed medical disease; and
adjusting therapy for the patient based on available objective health measurements, or adjusting therapy for the patient based on unavailable objective health measurements and available subjective health measurements.

25. The method of claim 24, wherein the questions relate to objective health measurements.

26. The method of claim 24, wherein the questions relate to subjective health measurements.

27. The method of claim 24, wherein the subjective health measurements include measurements of side effects relating to the patient's therapy.

28. The method of claim 6, wherein the obtained health data includes a patient's subjective perception of pain.

29. The method of claim 28, additionally comprising encoding the patient's subjective perception of pain into a pain code.

30. The method of claim 29, wherein the pain code comprises subcodes representative of provocative, quality, region, severity and timing of the pain.

31. The method of claim 29, wherein the pain code is stored in the patient medical record.

32. The method of claim 29, additionally comprising identifying the patient's medical disease by indexing a database of diseases with the pain code.

33. The method of claim 6, wherein adjusting the disease therapy comprises:

providing a therapeutic alterations permission level corresponding to the particular patient having the previously diagnosed medical disease;
automatically determining a therapy adjustment for the patient; and
recommending the therapy adjustment to the patient as allowed by the therapy alterations permission level.

34. The method of claim 33, wherein the therapy adjustment comprises starting a new therapy.

35. The method of claim 33, wherein the therapy adjustment comprises discontinuing an existing therapy.

36. The method of claim 33, wherein the therapy adjustment comprises adding a new therapy to an existing therapy.

37. The method of claim 33, wherein the determining the therapy adjustment is limited by the therapeutic alterations permission level.

38. The method of claim 6, wherein automatically asking questions of the patient comprises:

setting a preview mode for a disease management medical script comprising a plurality of questions;
asking a one of the plurality of questions in the script related to the health of the particular patient;
allowing the patient to receive information relating to the consequence of having answered the question; and
resetting the medical script as if the question had not been answered.

39. The method of claim 6, wherein automatically asking questions of the patient comprises:

providing a plurality of health parameters;
asking a selected question from a disease management medical script comprising a plurality of questions;
waiting a preset time for a response to the question; and
performing an action based on the health parameters after the preset time expires with no response.

40. The method of claim 39, wherein the health parameters include information in the patient medical record.

41. The method of claim 6, wherein assessing the health of the patient further comprises:

filtering any significant symptoms of the particular patient having the previously diagnosed medical disease;
obtaining and storing initial health measurements from the patient if the patient has not been previously assessed; and
obtaining and storing subsequent health measurements from the patient if the patient has been previously assessed.

42. The method of claim 6, wherein assessing the health of the patient further comprises:

determining a severity of a significant symptom obtained from the particular patient having the previously diagnosed medical disease;
continuing assessing the health of the patient if the severity level is sufficiently low; and
taking a predetermined action if the severity level is sufficiently high.

43. The method of claim 42, wherein the predetermined action is referral to a physician.

44. The method of claim 42, wherein the predetermined action is transfer to a diagnostic process.

45. A computerized disease management system, comprising:

a computerized device having a data storage;
a patient medical record stored in the data storage, the patient medical record corresponding to a particular patient having a diagnosed medical disease; and
a disease management program executing on the computerized device, the program configured to assess the current health conditions of the patient, store health data in the patient medical record based on the health assessment, and automatically output data indicative of adjusting a disease therapy for the particular patient based on the stored health data, which is indicative of a progression of the disease over time.

46. The system defined in claim 45, wherein the health assessment includes computer code configured to:

automatically ask questions of the patient;
automatically receive answers from the patient so as to obtain the health data;
automatically select a specific health parameter corresponding to a portion of the patient medical record;
automatically calculate changes from prior disease management sessions in the patient's health state as indicated by the health parameter; and
automatically compare the health state changes against disease specific changes for the medical disease.

47. The system defined in claim 45, wherein the computerized device executes computer code configured to:

establish a current disease management session;
determine if the particular patient having the diagnosed medical disease has previously registered for a disease management session; and
register the patient and initialize the patient medical record in the data storage if the patient has not previously registered for a disease management session.

48. The system defined in claim 45, wherein the data storage includes an electronic medical database.

49. A computerized disease management method, comprising:

providing a database of disease-specific changes over time for a plurality of diseases;
providing at least one interactive dialog to a patient via a computer so as to elicit current health conditions of the patient;
automatically assessing the current health conditions of the patient through the interactive dialog with the patient, wherein the patient has been previously diagnosed with a particular disease; and
automatically optimizing a disease therapy based on a comparison of the health assessment of the patient and the database, which are indicative of a progression of the disease over time.

50. The method of claim 49, additionally comprising scheduling a time for a new interactive dialog with the patient.

51. The method of claim 50, wherein the acts are repeatedly performed over time.

52. The method of claim 50, wherein the time is a regularly scheduled time.

53. The method of claim 52, wherein the time is different from the regularly scheduled time.

54. A computerized disease management system, comprising:

a computerized device having a data storage;
a database of disease-specific changes over time for a plurality of diseases;
a patient medical record stored in the data storage, the patient medical record corresponding to a particular patient having a diagnosed medical disease; and
a disease management program executing on the computerized device, the program configured to assess the current health conditions of the patient, store health data in the patient medical record based on the health assessment, and automatically output data indicative of adjusting a disease therapy for the particular patient based on the stored health data and functions of the database, which are indicative of a progression of the disease over time.

55. The system defined in claim 54, wherein the health assessment includes computer code configured to:

automatically ask questions of the patient;
automatically receive answers from the patient so as to obtain the health data;
automatically select a specific health parameter corresponding to a portion of the patient medical record;
automatically calculate changes from prior disease management sessions in the patient's health state as indicated by the health parameter; and
automatically compare the health state changes against the disease specific changes for the medical disease.

56. The system defined in claim 54, wherein the computerized device executes computer code configured to:

establish a current disease management session;
determine if the particular patient having the diagnosed medical disease has previously registered for a disease management session; and
register the patient and initialize the patient medical record in the data storage if the patient has not previously registered for a disease management session.

57. The system defined in claim 54, wherein the data storage includes an electronic medical database.

58. A computerized disease management method, comprising:

retrieving a patient medical record, corresponding to a particular patient having a previously diagnosed medical disease, from a memory;
assessing the health of the patient, comprising:
automatically asking questions of the patient, comprising:
providing a plurality of groups of questions indicative of assessing the health of the patient, each group being related to a linguistic level of understanding;
identifying the linguistic level of understanding of the particular patient;
selecting one of the question groups based on the identified linguistic level; and
asking a question of the patient from the selected group;
automatically receiving answers from the patient so as to obtain health data;
automatically storing the obtained health data into the patient medical record;
automatically selecting a specific health parameter corresponding to a portion of the patient medical record;
automatically calculating changes from prior disease management sessions in the patient's health state as indicated by the health parameter, the calculated changes being indicative of a progression of the disease over time;
automatically comparing the health state changes against disease specific changes for the medical disease; and
automatically outputting data indicative of adjusting a disease therapy for the particular patient based on the obtained health data and the comparison.

59. The method of claim 58, wherein the method additionally comprises modifying a sensitivity factor based on the identified linguistic level, wherein the disease therapy adjustment depends on the sensitivity factor.


click for download



Saturday, December 6, 2008

System for predicting future health

Abstract
A computer-based system is disclosed for predicting future health of individuals comprising:

Patent number: 6059724
Filing date: Feb 14, 1997
Issue date: May 9, 2000
Inventors: T. Colin Campell, Ronald W. Helms, Lisa Tomasko
Assignees: BioSignal, Inc.

Claims

What is claimed is:

1. A computer-based system for predicting future health of individuals comprising:

(a) a computer comprising a processor containing a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired a specified biological condition within a specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; and
(b) a computer program that includes steps for:
(1) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and
(2) using the distributions of the selected biomarkers to develop a statistical procedure that is capable of being used for:
(i) classifying members of the test population as belonging within a subpopulation PD having a prescribed high probability of acquiring the specified biological condition within the specified time period or age interval or as belonging within a subpopulation PD having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval; or
(ii) estimating quantitatively, for a member of the test population, the probability of acquiring the specified biological condition within the specified time period or age internal;
wherein changes in said longitudinally-acquired biomarker values are used to develop said statistical procedure.

2. The computer-based system of claim 1 wherein the statistical procedure comprises a discriminant function utilizing estimated mean vectors and estimated covariance matrices of the distributions of biomarker values within the subpopulations D and D.

3. The computer-based system of claim 2 wherein estimates of parameters of the distributions of the selected biomarkers are obtained by fitting a general linear mixed model to the biomarker data from the test population.

4. The computer-based system of claim 2 wherein:

(a) the estimated mean vectors are modeled as vector-valued functions of expected-value parameters or values of covariates; or
(b) the estimated covariance matrices are modeled as matrix-valued functions of covariance parameters or values of covariates.

5. The computer-based system of claim 4 wherein estimates of parameters of the distributions of the selected biomarkers are obtained by fitting a general linear mixed model to the biomarker data from the test population.

6. The computer-based system of claim 4 wherein an estimated mean vector or probability incorporates an estimate of the realized value of a random subject effect vector for a member being classified or of a member for whom a probability is estimated.

7. The computer-based system of claim 6 wherein estimates of parameters of the distributions of the selected biomarkers are obtained by fitting a general linear mixed model to the biomarker data from the test population.

8. A method of predicting an individual's health comprising:

collecting a plurality of biomarker values from an individual, wherein at least one of said biomarker values is obtained by physically measuring the biomarker value; and
applying a statistical procedure to said plurality of biomarker values so as:
(i) to classify said individual as having a prescribed high probability of acquiring a specified biological condition within a specified time period or age interval or as having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval; or
(ii) to estimate quantitatively for said individual the probability of acquiring the specified biological condition within the specified time period or age interval;
wherein said statistical procedure is based on:
(1) collecting a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired the specified biological condition within the specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval;
(2) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarker is selected based on distributions of the biomarker values of the individual members of the test population; and
(3) using the distributions of the selected biomarkers to develop said statistical procedure;
wherein changes in said longitudinally-acquired biomarkers values are used to develop said statistical procedure.

9. The method according to claim 8 wherein at least one of said biomarker values is obtained from a biological sample.

10. The method according to claim 9 wherein said biological sample is a serum or urine sample.

11. A computer-based system for predicting an individual's future health comprising:

(a) a computer comprising a processor containing a plurality of biomarker values from an individual; and
(b) a computer program that includes steps for applying a statistical procedure to said plurality of biomarker values so as:
(i) to classify said individual as having a prescribed high probability of acquiring a specified biological condition within a specified time period or age interval or as having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval; or
(ii) to estimate quantitatively for said individual the probability of acquiring the specified biological condition within the specified time period or age interval;
wherein said statistical procedure is based on:
(1) collecting a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired the specified biological condition within the specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval;
(2) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and
(3) using the distributions of the selected biomarkers to develop said statistical procedure;
wherein changes in said longitudinally-acquired biomarker values are used to develop said statistical procedure.

12. The computer-based system of claim 11 wherein the plurality of biomarker values from said individual includes longitudinally-acquired biomarker values.

13. The computer-based system of claim 11 wherein the specified biological condition is death due to a specified underlying cause of death within the specified time period or age interval.

14. The computer-based system of claim 11 wherein the specified biological condition is a specified morbidity within the specified time period or age interval.

15. The computer-based system of claim 11 wherein the specified time period is a period of at least two years.

16. The computer-based system of claim 11 wherein the specified time period is a period of at least three years.

17. A method for assessing an individual's future risk of death from specified underlying causes of death comprising:

collecting a plurality of biomarker values from an individual, wherein at least one of said biomarker values is obtained by physically measuring the biomarker value; and
applying a statistical procedure to said plurality of biomarker values so as to determine whether said individual is classified as having a prescribed high probability of dying, within a specified time period or age interval, from any one of the underlying causes of death that account in the aggregate for at least 60% of all deaths in a test population over the specified time period or age interval.

18. A method for assessing an individual's evidence of good health comprising:

collecting a plurality of biomarker values from an individual, wherein at least one of said biomarker values is obtained by physically measuring the biomarker value; and
applying a statistical procedure to said plurality of biomarker values so as to determine whether said individual is classified as having a prescribed high probability of not dying, within a specified time period or age interval, from any one of the underlying causes of death that account in the aggregate for at least 60% of all deaths in a test population over the specified time period or age interval.

19. A computer-based system for assessing an individual's future risk of death from a specified underlying cause of death comprising:

(a) a computer comprising a processor containing a plurality of biomarker values from an individual; and
(b) a computer program that includes steps for applying a statistical procedure to said plurality of biomarker values so as to determine whether said individual is classified as having a prescribed high probability of dying, within a specified time period or age interval, from any one of the underlying causes of death that account in the aggregate for at least 60% of all deaths in a test population over the specified time period or age interval.

20. A computer-based system for assessing an individual's evidence of good health comprising:

(a) a computer comprising a processor containing a plurality of biomarker values from an individual; and
(b) a computer program that includes steps for applying a statistical procedure to said plurality of biomarker values so as to determine whether said individual is classified as having a prescribed high probability of not dying, within a specified time period or age interval, from any one of the underlying causes of death that account in the aggregate for at least 60% of all deaths in a test population over the specified time period or age interval.

21. An apparatus for assessing an individual's risk of future health problems comprising:

(a) a stooge device for storing a plurality of biomarker values from an individual; and
(b) a processor coupled to the storage device and programmed:
1) to receive from the storage device said plurality of biomarker values; and
2) to apply a statistical procedure to said plurality of biomarker values so as:
(i) to classify said individual as belonging within a subpopulation PD having a prescribed high probability of acquiring a specified biological condition within a specified time period or age interval or as belonging within a subpopulation PD having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval; or
(ii) to estimate quantitatively the probability for said individual acquiring the specified biological condition within the specified time period or age interval;
wherein said statistical procedure is based on:
(1) collecting a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired the specified biological condition within the specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval;
(2) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and
(3) using the distributions of the selected biomarkers to develop said statistical procedure;
wherein changes in said longitudinally-acquired biomarker values are used to develop said statistical procedure.

22. A method of predicting an individual's health comprising:

collecting a plurality of biomarker values from an individual, wherein at least one of said biomarker values is obtained by physically measuring the biomarker value; and
applying a multivariate statistical procedure to said plurality of biomarker values so as to provide a statistically-based quantitative probability of said individual acquiring a specified morbidity or suffering a mortality with a specified underlying cause of death within a specified time period or age interval, wherein said multivariate statistical procedure is based on comparing said individual's plurality of biomarker values with a longitudinally-acquired database, wherein said database includes biomarker values from individual members of a test population, a subpopulation D of said members being identified as having acquired the specified morbidity or suffering the mortality with the specified underlying cause of death within the specified time period or age interval and a subpopulation D being identified as not having acquired the specified morbidity or suffering the mortality with the specified underlying cause of death within the specified time period or age interval;
wherein changes in the longitudinally-acquired biomarker values to develop said statistical procedure.

23. The method according to claim 22 wherein said method includes the step of selecting a subset of biomarkers having discriminatory power for discriminating between said members identified as having acquired the specified biological condition within the specified time period or age interval and said members identified as not having acquired the specified biological condition within the specified time period or age interval.

24. The method according to claim 23 wherein the biomarkers in said subset provide a statistically significant contribution to the discriminatory power of said subset of biomarkers when used in combination with the other biomarkers in said subset.

25. The method according to claim 24 wherein said statistically significant contribution to the discriminatory power is established based on selecting the biomarkers in said subset by evaluating distributions of said longitudinally-acquired biomarker values.

26. The method according to claim 24 wherein said statistically significant contribution to the discriminatory power is established based on evaluating ratios or longitudinally-observed changes in the ratios of an individual's biomarker values.

27. The method according to claim 26 wherein the evaluation step comprises assessing whether longitudinal trends in said longitudinally-acquired biomarkers values are statistically correlated with acquisition of the specified biological condition.

28. The method according to claim 22 wherein said database comprises longitudinally-acquired biomarker values and at least one of said longitudinally-acquired biomarker values is obtained by physically measuring the biomarker value.

29. A computer-based system for predicting the future health of individuals comprising:

(a) a computer comprising a processor containing:
(i) a plurality of biomarker values from an individual; and
(ii) a longitudinally-acquired database, wherein said database includes biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired a specified morbidity or suffering a mortality with a specified underlying cause of death within a specified time period or age interval and a subpopulation D being identified as not having acquired the specified morbidity or suffering a mortality with the specified underlying cause of death within the specified time period or age interval; and
(b) a computer program that includes steps for applying a multivariate statistical procedure to compare said individual's plurality of biomarker values with said longitudinally-acquired database so as to provide a statistically-based quantitative probability for said individual acquiring the specified morbidity or suffering a mortality with the specified underlying cause of death within the specified time period or age interval;
wherein changes in the longitudinally-acquired biomarker values are used to develop said statistical procedure.

30. An apparatus for assessing an individuals's an risk off future health problems comprising:

(a) a storage device for storing a plurality of biomarker values from an individual; and
(b) a processor coupled to said storage device, said processor being programmed to receive from said storage device said plurality of biomarker values and apply a multivariate statistical procedure comparing said plurality of biomarker values with a longitudinally-acquired database, wherein said database includes biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired a specified morbidity or suffering a mortality with a specified underlying cause of death within a specified time period or age interval, and a subpopulation D being identified as not having acquired the specified morbidity or suffering a mortality with the specified underlying cause of death within the specified time period or age interval, so as to provide a statistically-based quantitative probability for said individual acquiring the specified morbidity or suffering a mortality with the specified underlying cause of death within the specified time period or age interval;
wherein changes in the longitudinally-acquired biomarker values are used to develop said statistical procedure.

click for download