SYSTEM AND METHOD FOR USING PREDICTIVE MODELS TO DETERMINE LEVELS OF HEALTHCARE INTERVENTIONS
First Claim
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1. A computerized method for targeting a group of patients for medical care, the method comprising:
- receiving health information about a plurality of patients;
selecting a subset of the plurality of patients;
comparing the relative associated future healthcare costs and clinical risk of the subset of the plurality of patients; and
assigning a level of medical intervention for each of the patients in the selected subset based on the comparison of the patients.
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Accused Products
Abstract
A computer implemented method may be used for targeting patients within a population for increased medical interventions. In one embodiment, predictive models are used to determine whether a patient is likely to be near the end of life, whether the patient'"'"'s healthcare costs are stabilizing, whether the patient is likely to have high future healthcare costs, and whether the patient is likely to have high future clinical risk. In one embodiment, scores from these predictive models are used to determine the level of medical intervention for a particular patient.
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Citations
72 Claims
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1. A computerized method for targeting a group of patients for medical care, the method comprising:
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receiving health information about a plurality of patients; selecting a subset of the plurality of patients; comparing the relative associated future healthcare costs and clinical risk of the subset of the plurality of patients; and assigning a level of medical intervention for each of the patients in the selected subset based on the comparison of the patients. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computerized method for targeting a group of patients for medical care, the method comprising:
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receiving health information associated with each of a plurality of patients; receiving output from multiple predictive models about the plurality of patients; comparing a subset of the plurality of patients relative to one another based on the output of the multiple predictive models; and assigning a level of medical intervention for each of the patients based on the comparison of the patients. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A computerized method for targeting a group of patients for medical care, the method comprising:
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selecting a plurality of patients; determining an estimated medical factor associated with each patient; comparing the patients based on the associated medical factor of each patient; and assigning a level of medical intervention for each patient based on the relative estimated medical factor of each patient. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39)
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40. A computerized system for targeting a group of patients for medical care, the system comprising:
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a memory to store health information about a plurality of patients; a processor to perform; selecting a subset of the plurality of patients; comparing the relative associated future healthcare costs and clinical risk of the subset of the plurality of patients; and assigning a level of medical intervention for each of the patients in the selected subset based on the comparison of the patients. - View Dependent Claims (41, 42, 43, 44, 45, 46, 47, 48)
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49. A computerized system for targeting a group of patients for medical care, the system comprising:
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a memory to store health information associated with each of a plurality of patients; a processor to perform; receiving output from multiple predictive models about the plurality of patients; comparing a subset of the plurality of patients relative to one another based on the output of the multiple predictive models; and assigning a level of medical intervention for each of the patients based on the comparison of the patients. - View Dependent Claims (50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60)
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61. A computerized system for targeting a group of patients for medical care, the system comprising:
a processor to perform; selecting a plurality of patients; determining an estimated medical factor associated with each patient; comparing the patients based on the associated medical factor of each patient; and assigning a level of medical intervention for each patient based on the relative estimated medical factor of each patient. - View Dependent Claims (62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72)
Specification