System and method for geocoded insurance processing using mobile devices

• US 9,558,520 B2
• Filed: 04/05/2010
• Issued: 01/31/2017
• Est. Priority Date: 12/31/2009
• Status: Active Grant

• Current Assignee: Hartford Fire Insurance Company (The Hartford Financial Services Group, Inc.)
• Original Assignee: Hartford Fire Insurance Company (The Hartford Financial Services Group, Inc.)
• Inventors: Peak, David F., Amigo, Andrew J., Borden, Richard M., Busque, Keven J., Walters, Eugene J.
• Primary Examiner(s): Wong, Eric T
• Application Number:
  US12/754,189
• Publication Number:
  US 20110161116A1
• Time in Patent Office: 2,493 Days
• Field of Search: 705/4
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3461 Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
• CPC Class Codes: G01C 21/36 Input/output arrangements for on-board computers
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 20/3223 Realising banking transactions through M-devices
• CPC Class Codes: G06Q 20/3278 RFID or NFC payments by means of M-devices
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/22 Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 10/65 stored on portable record carriers, e.g. on smartcards, RFID tags or CD
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Pursuant to some embodiments, insurance systems, methods and devices are provided which include a data storage device for storing, updating and providing access to loss risk score data, a computer processor for executing program instructions and for retrieving the loss risk score data from the data storage device, a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor, a geocoding engine comprising program instructions stored in the memory for geocoding historical loss data and a plurality of loss risk factors, a scoring engine comprising program instructions stored in the memory for calculating a loss risk score for each of a plurality of geographical locations based on said historical loss data and said plurality of loss risk factors, and a communication device, coupled to the computer processor, to output loss risk score data based on geographical location.

Claims

1. A computer system for facilitating of vehicle routing with reduced risk, comprising:

a data storage device for storing, updating and providing access to vehicle loss risk score data;

a computer processor for executing program instructions and for retrieving the vehicle loss risk score data from the data storage device;

a memory, coupled to the computer processor, for storing program instructions for execution by the computer processor;

a geocoding engine comprising program instructions stored in the memory for geocoding historical loss data, current vehicle loss data, and a plurality of vehicle loss risk factors;

a scoring engine comprising program instructions stored in the memory for calculating a vehicle loss risk score for each of a plurality of geographical locations based on said historical loss data, said current loss data, and said plurality of vehicle loss risk factors, including computing a result of an algorithm including as factors an average claim severity, an average claim frequency, a population density, and day of week risk factor, wherein said vehicle loss risk score for each of said plurality of geographical locations is stored in said data storage device;

a communication device, coupled to the computer processor, to (i) receive actual trip route data automatically generated and transmitted by a plurality of mobile devices, the trip route data generated by GPS receivers and accelerometers, associated with a driver, the actual trip route data including a set of geographical locations through which the mobile device traveled over a period of time;

(ii) receive the current loss data comprising new vehicle loss claim data and accident event data; and

(iii) output vehicle loss risk score data,

one or more application programming interfaces configured to expose some or all of the scoring data to an external mapping service to facilitate route selection based on mapping data from the external mapping service,

the received actual trip route data and the loss risk scores associated with said set of geographical locations; and

a display device to display routing options for selection based on the vehicle loss risk scores.

2. The computer system of claim 1, wherein said communication device receives a user location from a user operating the mobile device, said scoring engine further comprising program instructions to calculate a loss risk score for said user location.

3. The computer system of claim 1, said scoring engine further comprising program instructions stored in the memory for determining at least a portion of said loss risk score using data mining techniques including text mining to locate, identify and extract location and risk-relevant data for use by the scoring engine.

4. The computer system of claim 3, wherein said communication device transmits said loss risk score in a format for display by said mobile device.

5. The computer system of claim 4, wherein said format is as a map overlay format.

6. The computer system of claim 5, wherein said communication device receives a route request from a user operating a mobile device, said route request specifying a destination, said scoring engine further comprising program instructions to calculate a trip risk score associated with at least one route to said destination.

7. The computer system of claim 6, said scoring engine further comprising program instructions to calculate a first trip risk score associated with a first route to said destination, and a second trip risk score associated with a second route to said destination, one of said routes having a lower trip risk score.

8. The computer system of claim 6, wherein said communication device transmits said trip risk score associated with each of said routes in a format for display by said mobile device.

9. The computer system of claim 1, wherein said plurality of loss risk factors include variable data from public data sources including a weather condition data source and a traffic condition data.

10. The computer system of claim 1, wherein said calculating a loss risk score for each of a plurality of geographical locations based on said historical loss data and said plurality of loss risk factors includes computing a result of a function involving a user generated risk factor.

11. The computer system of claim 1, wherein said geographical locations are identified by street-level geocode data.

12. The computer system of claim 11, wherein said loss risk score is calculated for a plurality of street intersections.

13. The computer system of claim 1, further comprising a claims processing module, the claims processing module comprising program instructions for receiving notice of loss information associated with a claim.

14. The computer system of claim 13, wherein said claims processing module is coupled to said communication device, said communication device receiving said notice of loss information from a mobile device.

15. The computer system of claim 13, wherein said notice of loss information received from said mobile device includes data collected from a location associated with said notice of loss, said collected data including at least one of:

a timestamp, geolocation data, a picture, a voice recording, and a description of said loss.

16. The computer system of claim 14, wherein said mobile device is a mobile device associated with a policy holder submitting said notice of loss.

17. The computer system of claim 16, said communication device receiving independent data associated with said notice of loss, said independent data received from a second mobile device operated by a user other than said policy holder.

18. The computer system of claim 14, wherein said notice of loss information is provided to said scoring engine to update said loss risk score for said location associated with said notice of loss.

19. A computer-implemented method for facilitating vehicle routing with reduced risk, comprising:

retrieving vehicle loss risk score data from a data storage device;

geocoding, by a geocoding engine computer processor, historical loss data, current loss data, and a plurality of loss risk factors;

calculating, by a scoring engine, a vehicle loss risk score for each of a plurality of geographical locations based on said historical loss data, the current loss data, and said plurality of loss risk factors, including computing a result of an algorithm including as factors an average claim severity, an average claim frequency, and a day of week risk factor, wherein said vehicle loss risk score for each of said plurality of geographical locations is stored in said data storage device;

receiving, by a communication device, actual trip route data automatically generated and transmitted by a plurality of mobile devices, the trip route data generated by GPS receivers and accelerometers, associated with drivers, the actual trip route data including a set of geographical locations through which the mobile device traveled over a period of time, and the current loss data comprising new loss claim data and accident event data;

outputting, by the communication device, vehicle loss risk score data,

via one or more application programming interfaces exposing some or all of the scoring data to an external mapping service to facilitate route selection based on mapping data from the external mapping service,

the received actual trip route data and the vehicle loss risk scores associated with said set of geographical locations; and

displaying on a display device routing options and vehicle loss risk score data associated with the routing options.

20. The method of claim 19, wherein said geographical locations are identified by street-level geocode data.

21. The method of claim 20, wherein said loss risk score is calculated for a plurality of street intersections, the selected vehicle property characteristic category comprises a selected vehicle braking rate impact category, and the predictive model uses a clustering process to determine a set of previously issued coverages having similar risk profiles.

22. A non-transitory, computer-readable medium storing program instructions adapted to be executed by a computer processor to perform a method for facilitating vehicle routing with reduced risk, said method comprising:

retrieving vehicle loss risk score data from a data storage device;

geocoding, by a geocoding engine computer processor, historical loss data, current loss data comprising new loss claim data and accident event data, and a plurality of vehicle loss risk factors;

calculating, by a scoring engine, a vehicle loss risk score for each of a plurality of geographical locations based on said historical loss data and said plurality of loss risk factors, including computing a result of an algorithm including as factors an average claim severity, an average claim frequency, and a day of week risk factor, wherein said loss risk score for each of said plurality of geographical locations is stored in said data storage device;

receiving, by a communication device, actual trip route data automatically generated and transmitted by a mobile device associated with an entity, said actual trip route data generated at least in part by GPS receivers and accelerometers and including a set of geographical locations through which the mobile device traveled over a period of time;

outputting, by said communication device, vehicle loss risk score data,

via one or more application programming interfaces exposing some or all of the scoring data to an external mapping service to facilitate route selection based on mapping data from the external mapping service,

said received actual trip route data and said vehicle loss risk scores associated with said set of geographical locations; and

displaying on a display device route selection options associated with the vehicle loss risk scores.

23. The medium of claim 22, wherein said geographical locations are identified by street-level geocode data.

24. The medium of claim 23, wherein said loss risk score is calculated for a plurality of street intersections.