Composite model framework for authorization request augmentation
AssigneeOptum, Inc.
InventorsVishwakant GUPTA, Gaurav MANTRI, Shubhangi -, Jahanvi TALWAR
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Abstract
Various embodiments of the present disclosure provide an authorization request augmentation process that improves the functionality of a computer in various aspects. The techniques comprise receiving an authorization request, generating a candidate code from among a set of defined codes, storing, a set of data objects associated with the authorization request, generating, a tagged data object by associating a token of the data object with a tagged code from the set of defined codes, and based at least in part on determining that the candidate code matches the tagged code, providing an augmented authorization request to an entity repository.
Claims20
A computer-implemented method comprising:
- receiving, by one or more processors, an authorization request for an entity;
- generating, by a first classification machine learning model of a composite model framework and based at least in part on the authorization request, a candidate code from among a set of defined codes;
- storing, by the one or more processors and within a temporary memory structure, a set of data objects associated with the authorization request;
- generating, by a second classification machine learning model of the composite model framework and based at least in part on a data object of the set of data objects, a tagged data object by associating a token of the data object with a tagged code from the set of defined codes;
- and
- based at least in part on determining that the candidate code matches the tagged code, providing, by the one or more processors, an augmented authorization request to an entity repository, wherein the augmented authorization request comprises the authorization request and the tagged data object;
- or
- based at least in part on determining that the candidate code does not match the tagged code, removing, by the one or more processors, the data object from the temporary memory structure.
A system comprising:
- one or more processors;
- and
- one or more memories storing processor-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
- receiving an authorization request for an entity;
- generating, by a first classification machine learning model of a composite model framework and based at least in part on the authorization request, a candidate code from among a set of defined codes;
- storing, within a temporary memory structure, a set of data objects associated with the authorization request;
- generating, by a second classification machine learning model of the composite model framework and based at least in part on a data object of the set of data objects, a tagged data object by associating a token of the data object with a tagged code from the set of defined codes;
- and
- based at least in part on determining that the candidate code matches the tagged code, providing an augmented authorization request to an entity repository, wherein the augmented authorization request comprises the authorization request and the tagged data object.
One or more non-transitory computer-readable media storing processor-executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
- receiving an authorization request for an entity;
- generating, by a first classification machine learning model of a composite model framework and based at least in part on the authorization request, a candidate code from among a set of defined codes;
- storing, within a temporary memory structure, a set of data objects associated with the authorization request;
- generating, by a second classification machine learning model of the composite model framework and based at least in part on a data object of the set of data objects, a tagged data object by associating a token of the data object with a tagged code from the set of defined codes;
- and
- based at least in part on determining that the candidate code matches the tagged code, providing an augmented authorization request to an entity repository, wherein the augmented authorization request comprises the authorization request and the tagged data object.
Dependencies are inferred from the claim text.