Implementing Machine Learning For Life And Health Insurance Claims Handling

Abstract

Techniques for implementing machine learning to improve claim handling are disclosed. In some scenarios, the machine-learning, analytics model may be trained in accordance with data that is relevant to insurance products, such as life and health insurance. A set of labeled historical claims each corresponding to a settlement amount may be analyzed to train an artificial neural network, A claim may be received from a user mobile device, and may be analyzed using the trained artificial neural network to predict a claim settlement, which may be used to generate a settlement offer. The settlement offer may be transmitted to the user's mobile device, and if a manifestation of acceptance is received from the user, then the claim may be automatically paid.

1 - 20 . (canceled) 
     
     
         21 . A computer-implemented method of claims handling, comprising:
 receiving a plurality of first artificial neural networks and a second artificial neural network;   receiving a life claim, the life claim comprising at least one selected from a group consisting of image data and audio data; and   analyzing the life claim using the plurality of first artificial neural networks and the second artificial neural network to determine a claim settlement prediction by at least:
 extracting text-based content from the at least one selected from a group consisting of image data and audio data in the life claim using at least a natural language processing model; 
 selecting a first artificial neural network from the plurality of first artificial neural networks based on the extracted text-based content; 
 inputting the extracted text-based content to the selected first artificial neural network; 
 determining a claim label representing a category of the life claim using the selected first artificial neural network based at least in part on the extracted text-based content, the claim label being one of a plurality of predetermined labels; 
 inputting the extracted text-based content and the determined claim label to the second artificial neural network; and 
 determining the claim settlement prediction using the second artificial neural network based at least in part on the extracted text-based content and the determined claim label. 
   
     
     
         22 . The computer-implemented method of  claim 21 , wherein the life claim corresponds to a life insurance policy. 
     
     
         23 . The computer-implemented method of  claim 21 , wherein the life claim includes a photograph of a death certificate of a deceased person under an insurance policy related to the life claim. 
     
     
         24 . The computer-implemented method of  claim 21 , wherein the life claim corresponds to one or both of (i) a worker's compensation insurance policy, and (ii) a disability insurance policy. 
     
     
         25 . The computer-implemented method of  claim 21 , wherein the plurality of first artificial neural networks are trained using a set of labeled historical claims, wherein each labeled historical claim in the set of labeled historical claims corresponds to a respective adjusted settlement amount and a label, the label being one of the plurality of predetermined labels. 
     
     
         26 . The computer-implemented method of  claim 25 , wherein the adjusted settlement amount is an inflation-adjusted amount. 
     
     
         27 . The computer-implemented method of  claim 21 , further comprising:
 generating, based upon the claim settlement prediction, a settlement offer;   wherein the settlement offer includes one of (i) a lump sum payment, or (ii) a series of installment payments.   
     
     
         28 . The computer-implemented method of  claim 27 , further comprising:
 transmitting the settlement offer to an application in a user device; and   displaying, in the user device, the settlement offer.   
     
     
         29 . The computer-implemented method of  claim 28 , further comprising:
 receiving, from the user device, a manifestation of acceptance of the settlement offer.   
     
     
         30 . The computer-implemented method of  claim 28 , wherein displaying, in the user device, the settlement offer comprises displaying a binary choice between (i) a lump sum payment, and (ii) a series of installment payments. 
     
     
         31 . The computer-implemented method of  claim 28 , further comprising:
 generating, in association with an account of a beneficiary under an insurance policy associated with the life claim, an automatic payment of money corresponding to the claim settlement prediction.   
     
     
         32 . A claims handling user device, comprising:
 one or more processors;   one or more memories comprising executable instructions that, when executed by the one or more processors, cause the one or more processors to:
 receive a plurality of first artificial neural networks and a second artificial neural network; 
 receive a set of life claim information from a user device, the set of life claim information comprising at least one selected from a group consisting of image data and audio data; 
 predict a claim settlement amount by analyzing the set of life claim information using the plurality of first artificial neural networks and the second artificial network by at least:
 extracting text-based content from the at least one selected from a group consisting of image data and audio data in the set of life claim information using at least a natural language processing model; 
 selecting a first artificial neural network from the plurality of first artificial neural networks based on the extracted text-based content; 
 inputting the extracted text-based content to the selected first artificial neural network; 
 determining a claim label representing a category of the set of life claim information using the selected first artificial neural network based at least in part on the extracted text-based content, the claim label being one of a plurality of predetermined labels; 
 inputting the extracted text-based content and the determined claim label to the second artificial neural network; and 
 predicting the claim settlement amount using the second artificial neural network based at least in part on the extracted text-based content and the determined claim label. 
 
   
     
     
         33 . The claims handling user device of  claim 32 , wherein the executable instructions further cause the one or more processors to:
 generate, based upon the claim settlement amount, a settlement offer;   transmit, to the user device, the settlement offer; and   receive, from the user device, a manifestation of acceptance.   
     
     
         34 . The claims handling user device of  claim 32 , wherein the executable instructions further cause the one or more processors to:
 generate a payment to an account of a beneficiary associated with an insurance policy associated with the life claim.   
     
     
         35 . The claims handling user device of  claim 32 , wherein the set of life claim information is a first set of life claim information, and the application further causes the one or more processors to:
 receive a second set of life claim information;   pre-fill a user interface in the user device using the second set of life information; and   transmit the first set of life claim information and the second set of life claim information to a remote server.   
     
     
         36 . A non-transitory computer readable medium containing computer instructions that, when executed, cause a computer to:
 receive a plurality of first artificial neural networks and a second artificial neural network;   receive a set of life claim information from a device of a user, the set of life claim information comprising at least one selected from a group consisting of image data and audio data,   predict a claim settlement amount by analyzing the set of life claim information using the plurality of first artificial neural networks and the second artificial network by at least:
 extracting text-based content from the at least one selected from a group consisting of image data and audio data in the set of life claim information using at least a natural language processing model; 
 selecting a first artificial neural network from the plurality of first artificial neural networks based on the extracted text-based content; 
 inputting the extracted text-based content to the selected first artificial neural network; 
 determining a claim label representing a category of the set of life claim information using the selected first artificial neural network based at least in part on the extracted text-based content; 
 inputting the extracted text-based content and the determined claim label to the second artificial neural network; and 
 predicting the claim settlement amount using the second artificial neural network based at least in part on the extracted text-based content and the determined claim label. 
   
     
     
         37 . The non-transitory computer readable medium of  claim 36 , comprising further computer instructions that, when executed, cause the computer to:
 generate, based upon the claim settlement amount, a settlement offer;   transmit, to the device of the user, the settlement offer; and   receive, from the device of the user, a manifestation of acceptance.   
     
     
         38 . The non-transitory computer-readable medium of  claim 36 , wherein the plurality of first artificial neural networks are trained using a set of labeled historical claims, wherein each labeled historical claim in the set of labeled historical claims corresponds to a respective adjusted settlement amount and a label, the label being one of a plurality of predetermined labels. 
     
     
         39 . The non-transitory computer-readable medium of  claim 36 , comprising further computer instructions that, when executed, cause the computer to:
 generate a payment to an account of a beneficiary associated with an insurance policy associated with the life claim.   
     
     
         40 . The non-transitory computer-readable medium of  claim 36 , wherein the life claim corresponds to one of (i) life insurance policy, (ii) a worker's compensation insurance policy, or (iii) a disability insurance policy.