Insurance claim capitation and predictive payment modeling

• US 10,628,892 B1
• Filed: 11/27/2018
• Issued: 04/21/2020
• Est. Priority Date: 09/20/2012
• Status: Active Grant

• Current Assignee: Allstate Insurance Company (Allstate Corporation)
• Original Assignee: Allstate Insurance Company (Allstate Corporation)
• Inventors: Hanson, Randall, Johnson, Robert H., Stricker, Kurt M., Marlow, Clint J.
• Primary Examiner(s): Hamilton, Lalita M
• Application Number:
  US16/201,587
• Time in Patent Office: 511 Days
• CPC Class Codes: G01S 19/13 Receivers
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C

Abstract

A claim-based capitation model is proposed for handling vehicle repair insurance claims. Rather than determining a detailed estimate of the expected actual cost of repair, the estimate may be determined using a simpler model. For example, the insurance company and a repair facility may agree to following a predictive payment model in which the insurance company pays a fixed predicted capitated amount of money for each repair claim, regardless of the amount of repair work that will be needed. Alternatively, the insurance company may prepay a fixed capitated amount for a predicted number of future insurance claims.

Claims

1. A system comprising:

a processor;

a non-transitory computer-readable medium storing instructions that, when executed by the processor, cause the system to;

receive, from a computing device of a first vehicle, vehicle data comprising acceleration data generated by an accelerometer of the computing device;

determine, based on a payment model, a predicted cost of repair of a second vehicle, wherein the payment model is based on one or more loss attributes associated with one or more multipliers, and wherein the payment model is further based on the acceleration data; and

send a payment to a repair facility, wherein the payment is based on the predicted cost of repair, and wherein the payment is sent before a claim associated with the payment is made.

2. The system of claim 1, wherein the instructions that, when executed by the processor, further cause the system to:

receive, via a communication network, repair data from the repair facility indicating an actual cost of repair; and

revise the payment model based on the repair data.

3. The system of claim 1, wherein the one or more loss attributes comprise a place of occurrence of an incident involving the first vehicle.

4. The system of claim 1, wherein the one or more loss attributes comprise a date of occurrence of an incident involving the first vehicle.

5. The system of claim 1, wherein the computing device further comprises a global positioning sensor configured to sense a location of the first vehicle and the vehicle data further comprises location data generated by the computing device.

6. The system of claim 1, wherein the computing device further comprises a sensor configured to sense a speed of the first vehicle and the vehicle data further comprises speed data generated by the computing device.

7. The system of claim 1, wherein the instructions that, when executed by the processor, further cause the system to:

receive, via a communication network and from one or more repair facilities, repair data corresponding to repairs of one or more vehicles;

receive external data comprising claims data and vehicle sensor data; and

updating the payment model based on the repair data and the external data.

8. The system of claim 7, wherein updating the payment model is further based on information indicating profitability of an insurance company.

9. A non-transitory computer readable storage medium storing computer readable instructions which, when read by a computer, instruct the computer to perform:

receiving, from a computing device of a first vehicle, vehicle data comprising acceleration data generated by an accelerometer of the computing device;

determining, based on a payment model, a predicted cost of repair of a second vehicle, wherein the payment model is based on one or more loss attributes associated with one or more multipliers, and wherein the payment model is further based on the acceleration data; and

sending a payment to a repair facility, wherein the payment is based on the predicted cost of repair, and wherein the payment is sent before a claim associated with the payment is made.

10. The non-transitory computer readable storage medium of claim 9, wherein the instructions which, when read by the computer, further instruct the computer to perform:

receiving, via a communication network, repair data from the repair facility indicating an actual cost of repair; and

revising the payment model based on the repair data.

11. The non-transitory computer readable storage medium of claim 9, wherein the one or more loss attributes comprise a date of occurrence of an incident involving the first vehicle.

12. The non-transitory computer readable storage medium of claim 9, wherein the computing device further comprises a global positioning sensor configured to sense a location of the first vehicle and the vehicle data further comprises location data generated by the computing device.

13. The non-transitory computer readable storage medium of claim 9, wherein the computing device further comprises a sensor configured to sense a speed of the first vehicle and the vehicle data further comprises speed data generated by the computing device.

14. The non-transitory computer readable storage medium of claim 9, wherein the instructions which, when read by the computer, further instruct the computer to perform:

receiving, via a communication network, repair data from the repair facility indicating an actual cost of repair; and

revising the payment model based on the repair data.

15. The non-transitory computer readable storage medium of claim 9, wherein the instructions which, when read by the computer, further instruct the computer to perform:

receiving, via a communication network and from one or more repair facilities, repair data corresponding to repairs of one or more vehicles;

receiving external data comprising claims data and vehicle sensor data; and

updating the payment model based on the repair data and the external data.

16. A method comprising:

receiving, from a computing device of a first vehicle, vehicle data comprising acceleration data generated by an accelerometer of the computing device;

determining, based on a payment model, a predicted cost of repair of a second vehicle, wherein the payment model is based on one or more loss attributes associated with one or more multipliers, and wherein the payment model is further based on the acceleration data; and

sending a payment to a repair facility, wherein the payment is based on the predicted cost of repair, and wherein the payment is sent before a claim associated with the payment is made.

17. The method of claim 16, wherein the one or more loss attributes comprise a date of occurrence of an incident involving the first vehicle.

18. The method of claim 16, wherein the computing device further comprises a global positioning sensor configured to sense a location of the first vehicle and the vehicle data further comprises location data generated by the computing device.

19. The method of claim 16, wherein the computing device further comprises a sensor configured to sense a speed of the first vehicle and the vehicle data further comprises speed data generated by the computing device.

20. The method of claim 16, further comprising:

receiving, via a communication network and from one or more repair facilities, repair data comprising an actual cost of repairing one or more vehicles;

receiving external data comprising claims data and vehicle sensor data; and

updating the payment model based on the repair data and the external data.