System and method for health care costs and outcomes modeling using dosage and routing pharmacy information
First Claim
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1. A system for health care costs and outcomes modeling for members of a defined subject population, comprising:
- benchmark data containing derived cost weights for evaluative data items including pharmacy prescription information containing dosage and routing data along with demographic data, the benchmark data being created by subjecting evaluative data item information about a pre-defined benchmark population to an analytical technique to derive cost weights and storing the derived cost weights for each evaluative data item in a database;
interaction term data stored in the database, for identifying specified combinations of evaluative data items having incremental cost weights;
a grouper function for applying the applicable cost weights to each defined subject population member'"'"'s associated evaluative data items using cost weights from the corresponding evaluative data items in the benchmark data, the grouper function also grouping the evaluative data items into pre-determined classifications; and
a modeler function for performing any further grouping into any other classifications, the modeler function applying interaction terms as appropriate to create any aggregated classifications and to calculate and store predictive scores and cost estimate categories for each member.
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Abstract
A system for health care costs and outcomes modeling for members of a defined subject population using dosage and routing information is disclosed.
12 Citations
20 Claims
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1. A system for health care costs and outcomes modeling for members of a defined subject population, comprising:
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benchmark data containing derived cost weights for evaluative data items including pharmacy prescription information containing dosage and routing data along with demographic data, the benchmark data being created by subjecting evaluative data item information about a pre-defined benchmark population to an analytical technique to derive cost weights and storing the derived cost weights for each evaluative data item in a database; interaction term data stored in the database, for identifying specified combinations of evaluative data items having incremental cost weights; a grouper function for applying the applicable cost weights to each defined subject population member'"'"'s associated evaluative data items using cost weights from the corresponding evaluative data items in the benchmark data, the grouper function also grouping the evaluative data items into pre-determined classifications; and a modeler function for performing any further grouping into any other classifications, the modeler function applying interaction terms as appropriate to create any aggregated classifications and to calculate and store predictive scores and cost estimate categories for each member. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for health care costs and outcomes modeling for members of a defined subject population, comprising:
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benchmark data containing derived cost weights for evaluative data items including pharmacy prescription information, the benchmark data being created by subjecting evaluative data item information about a pre-defined benchmark population to an analytical technique to derive cost weights and storing the derived cost weights for each evaluative data item in a database; interaction term data stored in the database, for identifying specified combinations of evaluative data items having incremental cost weights; timing term data stored in the database, for identifying timing information about evaluative data items having incremental cost weights; a grouper function for applying the applicable cost weights to each defined subject population member'"'"'s associated evaluative data items using cost weights from the corresponding evaluative data items in the benchmark data, the grouper function also grouping the evaluative data items into pre-determined classifications; and a modeler function for performing any further grouping into any other classifications, the modeler function applying interaction terms as appropriate to create any aggregated classifications and applying timing terms as appropriate to the classifications to calculate and store predictive scores and cost estimate categories for each member. - View Dependent Claims (8, 9, 10)
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11. A method for health care costs and outcomes modeling for members of a defined subject population, comprising the steps of:
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creating benchmark data containing derived cost weights for evaluative data items including pharmacy prescription information containing dosage and routing data along with demographic data, the benchmark data being created by subjecting evaluative data item information about a pre-defined benchmark population to an analytical technique to derive cost weights and storing the derived cost weights for each evaluative data item in a database; using interaction term data stored in the database, for identifying specified combinations of evaluative data items having incremental cost weights; applying the applicable cost weights to each defined subject population member'"'"'s associated evaluative data items using cost weights from the corresponding evaluative data items in the benchmark data, the grouper function also grouping the evaluative data items into pre-determined classifications; and modeling by performing any further grouping into any other classifications, the modeler function applying interaction terms as appropriate to create any aggregated classifications and to calculate and store predictive scores and cost estimate categories for each member. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method for health care costs and outcomes modeling for members of a defined subject population, comprising:
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creating benchmark data containing derived cost weights for evaluative data items including pharmacy prescription information, the benchmark data being created by subjecting evaluative data item information about a pre-defined benchmark population to an analytical technique to derive cost weights and storing the derived cost weights for each evaluative data item in a database; using interaction term data stored in the database, for identifying specified combinations of evaluative data items having incremental cost weights; using timing term data stored in the database, for identifying timing information about evaluative data items having incremental cost weights; applying the applicable cost weights to each defined subject population member'"'"'s associated evaluative data items using cost weights from the corresponding evaluative data items in the benchmark data, the grouper function also grouping the evaluative data items into pre-determined classifications; and modeling by performing any further grouping into any other classifications, the modeler function applying interaction terms as appropriate to create any aggregated classifications and applying timing terms as appropriate to the classifications to calculate and store predictive scores and cost estimate categories for each member. - View Dependent Claims (18, 19, 20)
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Specification
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Current AssigneeDXCG, Inc.
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Original AssigneeDXCG, Inc.
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InventorsZhao, Yang, Bowen, Bruce, McMillan, Benjamin, Ellis, Randall P., Haughton, John F., Ash, Arlene S.
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Application NumberUS10/227,606Publication NumberTime in Patent OfficeDaysField of SearchUS Class Current705/2CPC Class CodesG06Q 10/00 Administration; ManagementG16H 40/20 for the management or admin...G16H 50/70 for mining of medical data,...
