System and method for repetitive interval clinical evaluations

• US 20030233031A1
• Filed: 12/06/2002
• Published: 12/18/2003
• Est. Priority Date: 06/17/2002
• Status: Active Grant

• Current Assignee: William H. Rice
• Original Assignee: William H. Rice
• Inventors: Rice, William H.
• Granted Patent: US 6,955,647 B2
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• 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 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics

Abstract

A healthcare tool allows a patient to record daily parameters associated with the patient'"'"'s clinical status, for example, body weight for congestive heart failure patients. A graph may be created showing the parameters on a control chart. The parameters are statistically analyzed against a control range, and when a parameter moves out of the control range, the system automatically creates a pop-up window alerting the patient that the parameter is outside the control range, and that the patient should consider informing a healthcare professional.

Claims

1. A computer implemented method of impeding a progression of a disease within a patient comprising the steps of:

defining a set of disease associated parameters;

performing repetitive measurements on said set of disease associated parameters;

evaluating said repetitive measurements of disease-associated parameters;

performing statistical analysis on a history of said repetitive measurements of disease associated parameters;

alerting the patient to those statistical analyses which indicate a potential future problem that requires intervention; and

applying secondary prevention techniques to address said potential future problem.

2. The method of claim 1, wherein said step of performing repetitive measurements further comprises entering said repetitive measurements on said set of disease associated parameters through a patient interface to the computer.

3. The method of claim 1, wherein said statistical analysis performing step uses a history of said repetitive measurements occurring at a defined period of time preceding the most recent of said performed repetitive measurements.

4. The method of claim 1, further comprising the step of storing in a computer memory said history of said repetitive measurements of disease-associated parameters.

5. The method of claim 1, wherein said steps of evaluating said repetitive measurements, performing statistical analysis on said history of said repetitive measurements, and alerting the patient to statistical analyses which indicate a potential future problem are performed by executing a set of instructions encoded within a computer memory.

6. The method of claim 1, wherein the disease is selected from the group consisting of congestive heart failure, diabetes, asthma, emphysema, cancer, infarction, ischemia, arteriosclerosis, toxicity, mental disease, depression and arrhythmia.

7. The method of claim 6, wherein said set of disease associated chaotic parameters comprise at least one parameter selected from the group consisting of body weight, peak flow, glucose, number of nitroglycerin tablets taken, number of chest pain episodes, minutes walking without pain, ambulation distance without pain, number of emesis, number of episodes of diarrhea, mood charts, depression charts, and food/liquid intake.

8. The method of claim 1, wherein the computer is coupled to a network and communicates with the patient'"'"'s health care team.

9. The method of claim 1, wherein the computer uses an audio interface to interact with the patient.

10. The method of claim 9, wherein the audio interface uses voice synthesis and recognition over a telephone to automatically gather data from the patient.

11. The method of claim 10, wherein the audio interface connects the patient automatically to a health care provider when said statistical analysis indicate a potential future problem that requires intervention.

12. The method of claim 1, wherein the computer couples to a wireless or PDA device.

13. The method of claim 1, wherein said computer comprises;

a computer processor;

a computer memory operable to store lines of code coupled to said computer processor wherein said lines of code load into said computer processor and execute said steps of evaluating said repetitive measurements, performing statistical analysis on said history of said repetitive measurements, and alerting the patient to those statistical analyses which indicate a potential future problem.

14. An apparatus to identify potential future problems in a patient that will require medical intervention, comprising:

a computer device, wherein said computer device further comprises computer memory and a computer processor, wherein said computer memory is operable to store lines of code that when executed by said computer processor execute the steps of;

collecting repetitive measurements on a set of disease associated chaotic parameters and storing said repetitive measurements in a data storage location;

evaluating said repetitive measurements of disease associated chaotic parameters;

combining said repetitive measurements of disease associated chaotic parameters with historical repetitive measurements stored in said data storage location;

performing statistical analysis on a history of said repetitive measurements of disease associated chaotic parameters; and

alerting the patient to a potential future problem that requires intervention;

a healthcare team that applies secondary prevention techniques to address said potential future problem.

15. The apparatus of claim 14, wherein said repetitive measurements are entered through a patient interface to the computer.

16. The apparatus of claim 14, wherein said computer processor is further capable or executing the step of storing in memory said history of said repetitive measurements of disease associated chaotic parameters.

17. The apparatus of claim 14 wherein the disease is selected from the group consisting of congestive heart failure, diabetes, asthma, emphysema, cancer, infarction, ischemia, arteriosclerosis, toxicity, mental disease, depression and arrhythmia.

18. The apparatus of claim 17, wherein said set of disease associated chaotic parameters comprise at least one parameter selected from the group consisting of body weight, peak flow, glucose, number of nitroglycerin tablets taken, number of chest pain episodes, minutes walking without pain, ambulation distance without pain, number of emesis, number of episodes of diarrhea, mood charts, depression charts, and food/liquid intake.

19. The apparatus of claim 14, wherein the computer is coupled to a network and communicates with healthcare team, and wherein said healthcare team contacts the patient.

20. The apparatus of claim 14, wherein the computer is a standalone device.

21. The apparatus of claim 14, wherein said statistical analysis comprises a Deming Statistical Method.

22. The apparatus of claim 14, wherein said computer comprises a personal computer, personal data assistant, network appliance, web access device, computer kiosks, or television interfaces.

23. A computer implemented method of impeding a progression of a disease within a patient comprising the steps of:

defining a set of disease associated chaotic parameters;

collecting repetitive measurements on said set of disease associated chaotic parameters through a patient interface to the computer;

evaluating said repetitive measurements of disease associated chaotic parameters;

storing in a computer memory a history of said repetitive measurements of disease associated chaotic parameters;

performing statistical analysis on said history of said repetitive measurements of disease associated chaotic parameters;

alerting the patient or a healthcare team to those statistical analyses which indicate a potential future problem that requires intervention, and wherein the healthcare team is coupled to a network that communicates with the computer; and

applying secondary prevention techniques to address said potential future problem.

24. The method of claim 23, wherein the disease is selected from the group consisting of congestive heart failure, diabetes, asthma, emphysema, cancer, infarction, ischemia, arteriosclerosis, toxicity, mental disease, depression and arrhythmia, and wherein said set of disease associated chaotic parameters comprise at least one parameter selected from the group consisting of body weight, peak flow, glucose, number of nitroglycerin tablets taken, number of chest pain episodes, minutes walking without pain, ambulation distance without pain, number of emesis, number of episodes of diarrhea, mood charts, depression charts, and food/liquid intake.

33. The method of claim 23, wherein said computer comprises;

a computer processor;

a computer memory operable to store lines of code coupled to said computer processor wherein said lines of code load into said computer processor and execute said steps of evaluating said repetitive measurements, performing statistical analysis on said history of said repetitive measurements, and alerting the patient to those statistical analyses which indicate a potential future problem.

25. A computer implemented method of reducing healthcare costs, comprising the steps of:

diagnosing a patient with a disease condition;

defining a set of disease associated parameters;

performing repetitive measurements on said set of disease associated parameters;

evaluating said repetitive measurements of disease-associated parameters;

performing statistical and medical analysis on a history of said repetitive measurements of disease associated parameters;

alerting the patient to those statistical or clinical analyses which indicate a potential future problem that requires intervention; and

applying secondary prevention techniques to address said potential future problem and/or impede a progression of said disease condition.

26. The method of claim 25, wherein said step of performing repetitive measurements further comprises entering said repetitive measurements on said set of disease associated parameters through a patient interface to the computer.

27. The method of claim 25, further comprising the step of storing in a computer memory said history of said repetitive measurements of disease-associated parameters.

28. The method of claim 25, wherein said steps of evaluating said repetitive measurements, performing statistical analysis on said history of said repetitive measurements, and alerting the patient to statistical analyses which indicate a potential future problem are performed by executing a set of instructions encoded within a computer memory.

29. The method of claim 25, wherein the disease is selected from the group consisting of congestive heart failure, diabetes, asthma, emphysema, cancer, infarction, ischemia, arteriosclerosis, toxicity, mental disease, depression and arrhythmia.

30. The method of claim 29, wherein said set of disease associated parameters comprise at least one parameter selected from the group consisting of body weight, peak flow, glucose, number of nitroglycerin tablets taken, number of chest pain episodes, minutes walking without pain, ambulation distance without pain, number of emesis, number of episodes of diarrhea, mood charts, depression charts, and food/liquid intake.

31. The method of claim 25, wherein the computer is coupled to a network and communicates with the patient'"'"'s health care team.

32. The method of claim 25, wherein the computer is a standalone device.