Mathematical therapeutic outcomes model for predicting clinical efficacy therapies
First Claim
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1. A method of predicting the efficacy of a medical treatment of a patient, comprising the steps of:
- a. developing a clinical diagnosis of a disease;
b. determining the statistical incidence of incorrect diagnosis of the disease;
c. determining the statistical incidence of the contribution of known pathogens to the correctly diagnosed disease;
d. determining the statistical incidence of disease, caused by the pathogens determined in step 1.c, which does not spontaneously resolve;
e. determining the statistical efficacy of predetermined treatments for the incidence of disease determined in step 1.d; and
f. based on the determinations of steps 1.a through 1.e, calculating the likelihood of resolution of the disease, indicative of the efficacy of the predetermined treatments.
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Abstract
A method and system allow a physician or other clinical care provider to consistently and logically place and correlate the various interdependent facts or assumptions made during the examination and testing of a patient in a fashion that provides a numerical estimate of treatment effectiveness. The primary and secondary factors are gathered and input to the system, and each factor may have a numerical effect on another factor in the calculation. The system guides the clinician in the selection of a treatment protocol from the available treatment regimes.
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Citations
11 Claims
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1. A method of predicting the efficacy of a medical treatment of a patient, comprising the steps of:
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a. developing a clinical diagnosis of a disease;
b. determining the statistical incidence of incorrect diagnosis of the disease;
c. determining the statistical incidence of the contribution of known pathogens to the correctly diagnosed disease;
d. determining the statistical incidence of disease, caused by the pathogens determined in step 1.c, which does not spontaneously resolve;
e. determining the statistical efficacy of predetermined treatments for the incidence of disease determined in step 1.d; and
f. based on the determinations of steps 1.a through 1.e, calculating the likelihood of resolution of the disease, indicative of the efficacy of the predetermined treatments. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for predicting the efficacy of a medical treatment of a patient, the system comprising:
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a. means for developing a clinical diagnosis of a disease;
b. means for determining the statistical incidence of incorrect diagnosis of the disease;
c. means for determining the statistical incidence of the contribution of known pathogens to the correctly diagnosed disease;
d. means for determining the statistical incidence of disease, caused by the pathogens determined by means 9.c, which does not spontaneously resolve;
e. means for determining the statistical efficacy of predetermined treatments for the incidence of disease determined by means 9.d; and
f. means for calculating the likelihood of resolution of the disease, indicative of the efficacy of the predetermined treatments, based on the determinations of means 9.a through 9.e.
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10. A method of predicting the efficacy of a medical treatment of a patient, comprising the steps of:
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a. assembling an interdependent array of data, the data comprising;
i. a clinical diagnosis of a disease;
ii. statistical incidence of incorrect diagnosis of the disease;
iii. statistical incidence of the contribution of known pathogens to the correctly diagnosed disease;
iv. statistical incidence of disease, caused by the determined pathogens, which does not spontaneously resolve;
V. statistical efficacy of predetermined treatments for the determined incidence of disease; and
b. based on the assembled data of step 10.a, calculating the likelihood of resolution of the disease, indicative of the efficacy of the predetermined treatments. - View Dependent Claims (11)
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Specification