Patent ID: 11935129
Assignee: MITCHELL INTERNATIONAL, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A non-transitory machine readable medium having stored thereon instructions for automatically determining injury treatment relation to a motor vehicle accident comprising executable code that, when executed by one or more processors, causes the processors to perform a method comprising:
obtaining, by an insurance claim analysis device, a plurality of images of a damaged motor vehicle involved in a motor vehicle accident, vehicle data describing the motor vehicle, occupant data describing an occupant who occupied the motor vehicle during the motor vehicle accident, and injury data from an electronic insurance claim associated with the motor vehicle accident, the injury data specifying an injury to the occupant;
determining, by the insurance claim analysis device, a delta velocity value for the damaged motor vehicle by applying a first machine learning model to the plurality of images of the damaged motor vehicle and the vehicle data;
determining, by the insurance claim analysis device, an injury severity score by applying a second machine learning model to the delta velocity value for the damaged motor vehicle, the vehicle data, and the occupant data;
identifying, by the insurance claim analysis device, a first set of one or more condition indications based on a correlation of the injury severity score with a stored mapping of condition indications to injury severity scores;
comparing, by the insurance claim analysis device, one or more of the condition indications in the first set of condition indications to one or more condition indications in a second set of condition indications in the injury data;
generating, by the insurance claim analysis device, a likelihood value based on the comparing, the likelihood value indicating a likelihood that the injury to the occupant resulted from the motor vehicle accident;
automatically adjudicating, by the insurance claim analysis device, the electronic insurance claim based on the generated likelihood value;
obtaining, by the insurance claim analysis device, further injury data from a medical bill of the occupant;
comparing, by the insurance claim analysis device, one or more of the condition indications in the first set of condition indications to one or more condition indications in a third set of condition indications in the further injury data;
generating, by the insurance claim analysis device, a further likelihood value based on the comparing, the further likelihood value indicating a further likelihood that the injury to the occupant resulted from the motor vehicle accident;
automatically adjudicating, by the insurance claim analysis device, the electronic insurance claim based on the generated further likelihood value;
providing the adjudicated electronic insurance claim to a claims adjusters;
retraining the first machine learning model using the delta velocity value determined using the first machine learning model; and
retraining the second machine learning model using the injury severity score determined using the second machine learning model.