Insurance claims processing
First Claim
1. A system for identifying insurance claims fraud and subrogation potential claims, the system comprising:
- a processor;
a memory coupled to the processor, wherein the processor executes a plurality of modules stored in the memory, and wherein the plurality of modules comprising a data acquisition module configured to,extract claims data from one or more data source, wherein the claims data includes structured data and unstructured data, and wherein the unstructured data includes imaged content and speech data;
convert the imaged content and the speech data to a textual format, wherein the imaged content includes photos and scanned copies of claim related information;
combine the claims data, having the textual format of the imaged content and the speech data, to obtain a consolidated claims record having text data, wherein data, from the claims data, in a language different from a language used in most of the claims data is translated to the language used in most of the claims data; and
remove noise from the text data of the consolidated claims records to obtain a claim dataset, wherein the claim dataset includes a plurality of claims;
an analysis module configured to ascertain one or more suspicion indicators in the plurality of claims based on concepts obtained from a fraud dictionary using one or more analytical technique, wherein the concepts are at least one of words, phrases, and entities that indicate suspicious claims; and
a scoring module configured to,assign a score to each of the plurality of claims based on at least one scoring rule comprising one or more scoring parameters, wherein the score is indicative of a level of suspicion of a claim; and
identify at least one of insurance claims fraud and subrogation potential claims based on the score assigned to each of the plurality of claims.
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Accused Products
Abstract
Systems and methods for insurance claims processing in an insurance industry are described. The method comprises combining extracted claims data from one or more data sources to obtain a consolidated claims record and removing noise from text data of the consolidated claims record to obtain a claim dataset. The claims data comprises a plurality of claims. Further, ascertaining one or more suspicion indicators in the plurality of claims based on an analytical technique. Further, assigning a score to each of the plurality of claims based on at least one scoring rule. The score is an indicative of a level of suspicion of a claim. Furthermore, detecting at least one of insurance claims fraud and subrogation potential claims based on the score assigned to each of the plurality of claims.
174 Citations
20 Claims
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1. A system for identifying insurance claims fraud and subrogation potential claims, the system comprising:
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a processor; a memory coupled to the processor, wherein the processor executes a plurality of modules stored in the memory, and wherein the plurality of modules comprising a data acquisition module configured to, extract claims data from one or more data source, wherein the claims data includes structured data and unstructured data, and wherein the unstructured data includes imaged content and speech data; convert the imaged content and the speech data to a textual format, wherein the imaged content includes photos and scanned copies of claim related information; combine the claims data, having the textual format of the imaged content and the speech data, to obtain a consolidated claims record having text data, wherein data, from the claims data, in a language different from a language used in most of the claims data is translated to the language used in most of the claims data; and remove noise from the text data of the consolidated claims records to obtain a claim dataset, wherein the claim dataset includes a plurality of claims; an analysis module configured to ascertain one or more suspicion indicators in the plurality of claims based on concepts obtained from a fraud dictionary using one or more analytical technique, wherein the concepts are at least one of words, phrases, and entities that indicate suspicious claims; and a scoring module configured to, assign a score to each of the plurality of claims based on at least one scoring rule comprising one or more scoring parameters, wherein the score is indicative of a level of suspicion of a claim; and identify at least one of insurance claims fraud and subrogation potential claims based on the score assigned to each of the plurality of claims. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for identifying insurance claims fraud and subrogation potential claims in an insurance industry, the method comprising:
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extracting, by a processor, claims data from one or more data sources, wherein the claims data includes structured data and unstructured data, and wherein the unstructured data includes imaged content and speech data; converting, by the processor, the imaged content and the speech data to a textual format, wherein the imaged content includes photos and scanned copies of claim related information; combining, by the processor, the claims data, having the textual format of the imaged content and the speech data, to obtain a consolidated claims record having text data, wherein data, from the claims data, in a language different from a language used in most of the claims data is translated to the language used in most of the claims data; removing, by the processor, noise from the text data of the consolidated claims records to obtain a claim dataset, wherein the claim dataset includes a plurality of claims; ascertaining, by the processor, one or more suspicion indicators in the plurality of claims based on concepts obtained from a fraud dictionary using one or more analytical technique, wherein the concepts are at least one of words, phrases, and entities that indicate suspicious claims; assigning, by the processor, a score to each of the plurality of claims based on at least one scoring rule comprising one or more scoring parameters, wherein the score is an indicative of a level of suspicion of a claim; and identifying, by the processor, at least one of insurance claims fraud and subrogation potential claims based on the score assigned to each of the plurality of claims. - View Dependent Claims (13, 14, 15, 16)
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17. A non-transitory computer-readable medium having embodied thereon a computer program executable in a computing device for executing a method of identifying insurance claims fraud and subrogation potential claims, the method comprising:
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extracting claims data from one or more data sources, wherein the claims data includes structured data and unstructured data, and wherein the unstructured data includes imaged content and speech data; converting the imaged content and the speech data to a textual format, wherein the imaged content includes photos and scanned copies of claim related information; combining the claims data, having the textual format of the imaged content and the speech data, to obtain a consolidated claims record having text data, wherein data, from the claims data, in a language different from a language used in most of the claims data is translated to the language used in most of the claims data; removing noise from the text data of the consolidated claims records to obtain a claim dataset, wherein the claim dataset includes a plurality of claims; ascertaining one or more suspicion indicators in the plurality of claims based on concepts obtained from a fraud dictionary using one or more analytical technique, wherein the concepts are at least one of words, phrases, and entities that indicate suspicious claims; assigning a score to each of the plurality of claims based on at least one scoring rule comprising one or more scoring parameters, wherein the score is an indicative of a level of suspicion of a claim; and identifying at least one of insurance claims fraud and subrogation potential claims based on the score assigned to each of the plurality of claims. - View Dependent Claims (18, 19, 20)
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Specification