Abstract: Automated vehicle repair estimation by voting ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a plurality of vehicle repair recommendation sets, each identifying (i) at least one component of a damaged vehicle, (ii) a recommended vehicle repair operation for each identified component, and (iii) a score and/or confidence percentage for each operation; when a plurality of the sets identify recommended operations for one of the components, selecting the operation having the highest score, and unselecting the other operations for the component; generating a composite vehicle repair recommendation set, wherein the composite vehicle repair recommendation set identifies the selected recommended vehicle repair operation, and wherein the composite vehicle repair recommendation set does not identify the unselected recommended vehicle repair operation; and providing the composite vehicle repair recommendation set to one or more claims management systems.

Abstract: A computer-implemented method comprising: obtaining repair estimate data that describes a repair estimate for a damaged vehicle; extracting, from an OEM repair procedure database according to the received repair estimate data, repair procedure data that describes repair procedures for the damaged vehicle; transmitting the extracted repair procedure data to at least one technician computing device; obtaining repair log data generated by the at least one technician computing device, wherein the repair log data describes one or more repairs performed upon the damaged vehicle; determining whether the repair procedures for the damaged vehicle have been satisfactorily performed based on the received repair log data and the extracted repair procedure data; sending an electronic approval message responsive to determining the repair procedures for the damaged vehicle have been satisfactorily performed; and sending an electronic disapproval message responsive to determining the repair procedures for the damaged vehicle

Abstract: Systems and methods are provided for automating the process of generating image metadata related to a vehicle and damage sustained by the vehicle during a collision event by using image analysis tools employing machine learning algorithms. The image with collision metadata renders the image capable of being analyzed using content-based searching.

Abstract: Systems and methods are provided for automating the process of managing automated real-time assignment of electronic bill based on at least a portion of the obtained electronic bills, productivity data, one or more characteristics of the bills, although other types of data or other information may be used to train the machine learning assignment algorithm. A machine learning assignment algorithm that determines assignment of each of a plurality of new and existing electronic bills to a plurality of auditor identifiers may be implemented. For example, the machine learning assignment algorithm may determine assignment based on current productivity data, current billing data, and current workload data.

Abstract: Systems and methods are provided for automating the process of automatically determining appropriateness of surgical team services performed during a medical procedure. Clinical resource data with known surgical guideline indicator (SGIs) may be us used to generate and store a mapping of medical procedure codes to indications of the appropriateness of surgical team services corresponding to the medical procedure codes. A medical bill associated with an insurance claim may be analyzed to extract a medical procedure code corresponding to a surgical procedure, and an automated adjudication recommendation for the medical bill may be made based on the mapping between medical procedure codes and SGIs.

Abstract: Methods, non-transitory computer readable media, and apparatuses for automated processing of hybrid electronic invoice data include identifying at least a first type of charge data from one or more other types of charge data in received hybrid electronic invoice data based on one or more parsing techniques. The first type of charge data is disassembled from the received hybrid electronic invoice data based on the identification. The disassembled first type of charge data is adjudicated based on execution of one of a plurality of sets of adjudication procedures identified to correspond to the disassembled first type of charge data. The received hybrid electronic invoice data is transformed with the adjudicated first type of charge data. The transformed electronic invoice data is provided for additional processing.

Abstract: This technology optimizes management of third party insurance claim processing includes retrieving third party claim data associated with a selected third party claim and from an automatic integration with at least one additional insurance claim application initiated based on the selection of the third party claim. One or more customized claim management operations are executed based on the selected third party claim and at least a portion of the retrieved third party claim data. At least a portion of a customized hierarchical claim management graphical user interface system is generated based on at least a portion of the retrieved third party claim data and the executed one or more customized claim management operations.

Abstract: A new automotive collision repair technology is provided, including system and data flow architectures that are designed to provide enhanced data and enhanced data flow in the context of vehicle diagnosis and repair, particularly when repairs are necessary due to collisions. In some examples, the data flow through the network is streamlined, to avoid network congestion, to use fewer computer and network resources and/or to enable the utilization of smaller databases. In other examples, enhanced access to data in real-time and near real-time enabled by a workflow module supports more accurate and timely decisions on vehicle repair. An advantage of this new automotive collision repair technology is that it enables a determination of relatedness likelihood of individual DTC, which in turn decreases costs and increases savings.

Abstract: Systems and methods are provided for automatically generating a repair estimate report for repairing a damaged vehicle. A user may be directed to capture data that includes vehicle information (e.g., VIN) and damage information (e.g., images of damaged panels and parts) using a computer wearable device based on intake instructions generated by the system. The damage information may be analyzed to obtain repair information. The repair estimate may be submitted to an insurance carrier and a notification specifying an approval or rejection may be generated. The user may use the system in a handsfree manner by viewing and/or listening to intake instructions, vehicle information, and the status of the repair estimate approval in a display and/or through speakers, respectively, of a computer wearable device.

Abstract: The disclosed systems and methods generate links for candidate execution load/execution component pairings, each candidate pairing identifying one of the data packets corresponding with the execution loads and one of the data packets corresponding with the execution components. Ranks are generated for the candidate pairings, and candidate pairings are selected for potential linkage based on the ranks. If the data packet corresponding with an execution load of a candidate pairing is linkable to the data packet corresponding with an execution component of the candidate pairing, the data packet corresponding with the execution load is linked to the data packet corresponding with the execution component. If the data packet corresponding with the execution load of the candidate pairing is not linkable to the data packet corresponding with the execution component of the pairing, a next candidate pairing is selected.

Abstract: Systems and methods of allocating execution loads to execution components are disclosed. The systems and methods select one of the execution components and one of the execution loads based on selection criteria. The systems and methods then determine whether the selected execution load may be allocated to the selected execution component. If the selected execution load may be allocated to the selected execution component, the systems and methods allocate the execution load accordingly. If the selected execution load may not be allocated to the selected execution component, the systems and methods select another one of the execution components and another one of the execution loads for attempted allocation.

Abstract: Methods and systems for performing the methods are disclosed. The methods include splitting a large execution load/execution component link generation job, into a number of smaller execution load/execution component link generation jobs, and conditionally subsplitting one or more of the smaller execution load/execution component link generation jobs. The methods also include solving each of the smaller execution load/execution component link generation jobs to generate links between data packets corresponding with execution loads of each smaller execution load/execution component link generation job and data packets corresponding with execution components of each smaller execution load/execution component link generation job.

Abstract: A new automotive collision repair technology is provided, including system and data flow architectures that are designed to provide enhanced data and enhanced data flow in the context of vehicle diagnosis and repair, particularly when repairs are necessary due to collisions. In some examples, the data flow through the network is streamlined, to avoid network congestion, to use fewer computer and network resources and/or to enable the utilization of smaller databases. In other examples, enhanced access to data in real-time and near real-time enabled by a Workflow Module supports more accurate and timely decisions on vehicle repair. An advantage of this new automotive collision repair technology is that it enables proper and proven repairs, which in turns increases operation safety of repaired vehicle and people safety.

Abstract: Briefly, embodiments of a method of classifying a bill are disclosed.

Abstract: A collaboration message is received at a computer system network node of a computer network that operates in a decentralized arrangement such that network nodes comprise work process sources and destinations, and the collaboration messages convey process state updates among the collaborators. There is no central authority though which all process messages and state updates must pass and which thereby may create a system bottleneck and limit system growth. The computer system is scalable and system operation remains efficient with increasing numbers of network nodes.

Abstract: A method of dividing a large task allocation problem is disclosed. The large task allocation problem includes a plurality of tasks and servicers. The method includes calculating an overall metric of the large task allocation problem, based at least in part on the quantity of tasks and quantity of servicers of the large task allocation problem. The method also includes dividing the large task allocation problem into a plurality of smaller task allocation problems. Each of the smaller task allocation problems includes tasks and servicers where each particular smaller task allocation problem has a problem metric calculated based at least in part on the quantity of tasks and the quantity of servicers of the particular smaller task allocation problem. The difference between the problem metric of each of the smaller task allocation problems and the overall metric of the large task allocation problem is less than a metric threshold.

Abstract: Systems and methods of allocating tasks to servicers are disclosed. The systems and methods generate task/servicer pairings, each pairing identifying one of the tasks and one of the servicers. Ranks are generated for the pairings, and pairings are selected for potential allocation based on the ranks. If the task of a pairing is allocatable to the servicer of the pairing, the task is allocated to the servicer. If the task of a pairing is not allocatable to the servicer of the pairing, a next pairing is selected.

Abstract: Systems and methods of allocating tasks to servicers are disclosed. The systems and methods select one of the servicers and one of the tasks based on selection criteria. The systems and methods then determine whether the selected task may be allocated to the selected servicer. If the selected task may be allocated to the selected servicer, the systems and methods allocate the task accordingly. If the selected task may not be allocated to the selected servicer, the systems and methods select another one of the servicers and another one of the tasks.

Abstract: A collaboration message is received at a computer system network node of a computer network that operates in a decentralized arrangement such that network nodes comprise work process sources and destinations, and the collaboration messages convey process state updates among the collaborators. There is no central authority though which all process messages and state updates must pass and which thereby may create a system bottleneck and limit system growth. The computer system is scalable and system operation remains efficient with increasing numbers of network nodes.

Abstract: An estimate compliance tool specifying estimate compliance criteria is presented. The estimate compliance can be accessed via hardware, software or a combination thereof. The tool can be configured to include functions facilitating creation of rules that outline criteria for estimate creation or invoicing. A user can enter vehicle and parts identification via a user interface to which a rule will apply. The user can also enter a rule requirement or suggestion. The compliance tool can include multiple modules configured to accept user input regarding vehicle or parts criteria or configured to create an estimate compliance rule based on the vehicle or parts criteria. The compliance tool can further include a storage medium configured to store multiple estimate compliance rules and a profile module. The profile module creates a rules profile comprising multiple estimate compliance rules. Additionally, the tool provides a compatibility module that checks compliance rules for conflicting rule criteria.