System and method for repetitive interval clinical evaluations
OwnerWilliam H. Riceinventor
Life of this patent
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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.
Claims33
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.
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.
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.
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.
Dependencies are inferred from the claim text.