Method and system for generating statistically-based medical provider utilization profiles
DC CAFCFirst Claim
1. A computer-implemented process for processing medical claims including the steps of:
- (a) reading a medical claim data, input as at least one of a plurality of data records, into a computer memory;
(b) validating each of the at least one of a plurality of data records for at least one of a diagnosis code and a treatment code;
(c) reading at least one pre-defined relationship between the at least one of a diagnosis code and a treatment code in the validated at least one of a plurality of data records and pre-defined episode treatment categories; and
(d) grouping the validated at least one of a plurality of data records to an episode treatment category based upon the pre-defined relationship, each episode treatment category having a dynamic time window defining a time period which validated at least one of plurality of data records may be grouped to an episode treatment category.
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Abstract
A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider'"'"'s utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.
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Citations
1 Claim
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1. A computer-implemented process for processing medical claims including the steps of:
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(a) reading a medical claim data, input as at least one of a plurality of data records, into a computer memory; (b) validating each of the at least one of a plurality of data records for at least one of a diagnosis code and a treatment code; (c) reading at least one pre-defined relationship between the at least one of a diagnosis code and a treatment code in the validated at least one of a plurality of data records and pre-defined episode treatment categories; and (d) grouping the validated at least one of a plurality of data records to an episode treatment category based upon the pre-defined relationship, each episode treatment category having a dynamic time window defining a time period which validated at least one of plurality of data records may be grouped to an episode treatment category.
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Specification