Mitchell International, Inc.

États‑Unis d’Amérique

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Date
Nouveautés (dernières 4 semaines) 1
2021 décembre 1
2021 novembre 2
2021 octobre 1
2021 septembre 1
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Classe IPC
G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions 22
G06Q 10/00 - Administration; Gestion 20
G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps 14
G06Q 30/04 - Facturation 8
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules 8
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Statut
En Instance 34
Enregistré / En vigueur 16
Résultats pour  brevets

1.

VEHICLE REPAIR ESTIMATING TOOL WITH NEAR-REAL-TIME COMPLIANCE

      
Numéro d'application 16911317
Statut En instance
Date de dépôt 2020-06-24
Date de la première publication 2021-12-30
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Genchel, Niv
  • Nemani, Ravi Kiran

Abrégé

A vehicle repair estimating tool with near-real-time compliance is provided, In general, one aspect disclosed features a method comprising: providing a near-real-time view of a repair estimate record to a client device, the repair estimate record having one or more fields, receiving, from the client device, a data entry input to be applied to one of the fields of the repair estimate record, selecting, in near real time, one or more compliance rules related to the one of the fields responsive to receiving the data entry input, determining, in near real time, whether the data entry input is valid based on the selected one or more compliance rules, and when the data entry input is determined not to be valid, notifying the client device, in near real time, that the data entry input is not valid for the one of the fields.

Classes IPC  ?

  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/00 - Commerce, p.ex. achat ou vente, ou commerce électronique
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/00 - Apprentissage automatique

2.

NEAR-REAL-TIME COLLABORATIVE VEHICLE REPAIR ESTIMATING TOOL

      
Numéro d'application 16881884
Statut En instance
Date de dépôt 2020-05-22
Date de la première publication 2021-11-25
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Genchel, Niv
  • Nemani, Ravi Kiran

Abrégé

A near-real-time collaborative vehicle repair estimating tool is provided. In general, one aspect disclosed features a system, comprising: a hardware processor; and a non-transitory machine-readable storage medium encoded with instructions executable by the hardware processor to perform a method comprising: providing at least one view of a repair estimate record to a plurality of client devices; receiving a revision of the repair estimate record from one of the client devices; generating a revised repair estimate record by revising the repair estimate record according to the received revision responsive to receiving the revision of the repair estimate record; and providing at least one view of the revised repair estimate record to the plurality of client devices in near real time with receiving the revision of the repair estimate record.

Classes IPC  ?

  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix

3.

METHODS FOR CUSTOMIZED RULE ENGINES FOR AUTOMATED MEDICAL BILL REVIEW AND DEVICES THEREOF

      
Numéro d'application 16866375
Statut En instance
Date de dépôt 2020-05-04
Date de la première publication 2021-11-04
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Memon, Ashraf
  • Strong, Suzi
  • Boren, Sean
  • Tigerstrom, Mats

Abrégé

Methods, non-transitory machine readable media, and bill review engine devices that provide customized rule engines for automated medical bill review are disclosed. With this technology, a selection of a reusable logical pattern from a pattern library is received. The reusable logical pattern comprises source code defining at least one action and one or more template fields. The template fields are populated based on received rule parameter data to generate and store a rule. The rule parameter data comprises one or more triggering codes. The rule is then applied to contents of a received electronic medical bill to determine when the rule is triggered based on the triggering codes. A pricing result for the electronic medical bill, determined based on the action, is subsequently returned to a source of the electronic medical bill, when the determination indicates that the rule is triggered.

Classes IPC  ?

  • G06Q 30/04 - Facturation
  • G16H 15/00 - TIC spécialement adaptées aux rapports médicaux, p.ex. leur création ou leur transmission
  • G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p.ex. pour la gestion du personnel hospitalier ou de salles d’opération
  • G16H 80/00 - TIC spécialement adaptées pour faciliter la communication entre les professionnels de la santé ou les patients, p.ex. pour le diagnostic collaboratif, la thérapie collaborative ou la surveillance collaborative de l’état de santé

4.

SYSTEMS AND METHODS FOR VEHICLE INTAKE FOR DAMAGED VEHICLES

      
Numéro d'application 17353638
Statut En instance
Date de dépôt 2021-06-21
Date de la première publication 2021-10-07
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Alami, Hassane
  • Shah, Mitul
  • Kumar, Sanjeev
  • Cannarsa, Umberto Laurent
  • Bachman, John Anthony
  • Kovar, Daniel Jake

Abrégé

In general, one aspect disclosed features a computer-implemented method comprising: obtaining an image related to a damaged vehicle; determining an image type of the image, wherein the image type describes an item contained in the image; extracting one or more images of text from the image; extracting one or more text strings from each image of text; identifying a type of each text string based on the determined image type; obtaining a record, and for each text string: selecting a field of the record based on the identified type of the text string, and populating the selected field with the text string; and determining an identity of the damaged vehicle based on the populated record.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06N 20/00 - Apprentissage automatique
  • G06F 16/583 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu

5.

METHOD FOR AUTOMATING CUSTOMER AND VEHICLE DATA INTAKE USING WEARABLE COMPUTING DEVICES

      
Numéro d'application 16827628
Statut En instance
Date de dépôt 2020-03-23
Date de la première publication 2021-09-23
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Cannarsa, Umberto Laurent

Abrégé

Systems and methods are provided for automating information intake process by generating intake instructions for display on a client computing device. A user may be directed to capture data that includes vehicle and owner information using a wearable computing device. Insurance claim information, including damage information, may be obtained based on the captured vehicle information. The damage information may be used to determine intake instructions for capturing the images or videos of the damage. The user may use the system in a handsfree manner by viewing intake instructions via a display of the wearable computing device which allows the user to view the intake instructions while capturing the intake information. Additionally, the user may use voice commands or gestures to control the display of intake instructions.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 50/26 - Services gouvernementaux ou services publics
  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules

6.

METHODS FOR MORE ACCURATELY MANAGING PROCESSING OF MEDICAL BILL DATA AND DEVICES THEREOF

      
Numéro d'application 17243412
Statut En instance
Date de dépôt 2021-04-28
Date de la première publication 2021-08-12
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Iacobacci, Michele Hibbert
  • Englehart, Susan
  • Olsen, Edward

Abrégé

Methods, non-transitory computer readable media, and computing apparatus that assist with more accurately managing processing of medical bill data includes identifying previously submitted bill data associated with received medical bill data from a client based on one or more service data parameters in the received medical bill data and the identified previously submitted bill data. The received medical bill data is determined to be erroneous medical bill data based on the identified previously submitted bill data and a time period between the previously submitted bill data and the received medical bill data. The received medical bill data is classified as a follow-up procedure bill data when the received medical bill data is determined to be an erroneous medical bill data. Compensation data is restricted for the received medical bill data classified as the follow-up procedure bill data.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps

7.

SYSTEMS AND METHODS FOR AUTOMATICALLY DETERMINING ASSOCIATIONS BETWEEN DAMAGED PARTS AND REPAIR ESTIMATE INFORMATION DURING DAMAGE APPRAISAL

      
Numéro d'application 17127575
Statut En instance
Date de dépôt 2020-12-18
Date de la première publication 2021-05-20
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Gastineau, Jerry
  • Genchel, Niv
  • Louis, Julian
  • Sullivan, Beau

Abrégé

A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify the part of the vehicle that has sustained damage. Damage data on an extent of the damage in the identified part of the vehicle is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified generic part of the vehicle is used to obtain a corresponding Part ID Code by using a parts dictionary. Part Qualifier information obtained using VIN information is then used in conjunction with the Part ID to obtain the OEM-specific part and then generate one or more repair lines for the repair estimate.

Classes IPC  ?

  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/00 - Commerce, p.ex. achat ou vente, ou commerce électronique
  • G06Q 10/08 - Logistique, p.ex. entreposage, chargement, distribution ou expédition; Gestion d'inventaire ou de stocks, p.ex. exécution d'une commande, approvisionnement ou régularisation par rapport aux commandes
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06N 3/08 - Méthodes d'apprentissage

8.

SYSTEMS AND METHODS FOR AUTOMATICALLY LINKING DIAGNOSTIC SCAN DATA

      
Numéro d'application 17146412
Statut En instance
Date de dépôt 2021-01-11
Date de la première publication 2021-05-06
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Rozint, John Joseph

Abrégé

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.

Classes IPC  ?

  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/04 - Facturation
  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules

9.

SYSTEMS AND METHODS FOR AUTOMATICALLY DETERMINING ADJACENT PANEL DEPENDENCIES DURING DAMAGE APPRAISAL

      
Numéro d'application 17127518
Statut En instance
Date de dépôt 2020-12-18
Date de la première publication 2021-04-08
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Gastineau, Jerry
  • Milliken, Michael
  • Sullivan, Beau

Abrégé

A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify which area of the property has damage. Damage data on an extent of the damage in the identified area of the property is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified damaged part and may be used to determine one or more adjacent parts based on the vehicle information and the repair operation type.

Classes IPC  ?

10.

VEHICLE REPAIR WORKFLOW AUTOMATION WITH OEM REPAIR PROCEDURE VERIFICATION

      
Numéro d'application 17023251
Statut En instance
Date de dépôt 2020-09-16
Date de la première publication 2021-04-01
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Rozint, John Joseph
  • Nguyen, Kien
  • Butch, Thomas

Abrégé

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 have not been satisfactorily performed.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06F 16/90 - Recherche d’informations; Structures de bases de données à cet effet; Structures de systèmes de fichiers à cet effet - Détails des fonctions des bases de données indépendantes des types de données cherchés

11.

AUTOMATED VEHICLE REPAIR ESTIMATION BY AGGREGATE ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS

      
Numéro d'application 17039231
Statut En instance
Date de dépôt 2020-09-30
Date de la première publication 2021-04-01
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Baudoux, Olivier
  • Venkatesan, Sathish
  • Chong, Geengyee
  • Pagaduan, Dune

Abrégé

Automated vehicle repair estimation by aggregate ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a plurality of vehicle repair recommendation sets for a damaged vehicle, wherein each of the vehicle repair recommendation sets identifies at least one recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; aggregating a plurality of the recommended vehicle repair operations; generating a composite vehicle repair recommendation set that identifies the aggregated recommended vehicle repair operations; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/00 - Apprentissage automatique
  • G06T 7/00 - Analyse d'image

12.

AUTOMATED VEHICLE REPAIR ESTIMATION BY RANDOM ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS

      
Numéro d'application 17039311
Statut En instance
Date de dépôt 2020-09-30
Date de la première publication 2021-04-01
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Hyland, Joseph
  • Zhang, Chenlei

Abrégé

Automated vehicle repair estimation by random ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a vehicle damage object that includes a plurality of metadata objects of the damaged vehicle; fragmenting the object into fragments each including at least one of the metadata objects; providing each of the fragments to a respective artificial intelligence function; receiving a respective vehicle repair recommendation set from each of the artificial intelligence functions, wherein each of the vehicle repair recommendation sets identifies a recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; selecting a plurality of the recommended vehicle repair operations; generating a composite vehicle repair recommendation set that identifies the selected recommended vehicle repair operations; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/20 - Techniques d’ensemble en apprentissage automatique
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06Q 10/00 - Administration; Gestion
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

13.

AUTOMATED VEHICLE REPAIR ESTIMATION BY VOTING ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS

      
Numéro d'application 17039262
Statut En instance
Date de dépôt 2020-09-30
Date de la première publication 2021-04-01
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Gulati, Abhijeet

Abrégé

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.

Classes IPC  ?

  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06Q 10/00 - Administration; Gestion
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/00 - Apprentissage automatique
  • G06N 5/04 - Méthodes ou dispositifs inférents
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales

14.

AUTOMATED VEHICLE REPAIR ESTIMATION BY PREFERENTIAL ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS

      
Numéro d'application 17039287
Statut En instance
Date de dépôt 2020-09-30
Date de la première publication 2021-04-01
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Gulati, Abhijeet

Abrégé

Automated vehicle repair estimation by preferential ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from each source of a plurality of the sources, a respective vehicle repair recommendation set for a damaged vehicle, wherein each vehicle repair recommendation set identifies a recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; determining a respective source rank of each source from a plurality of the source ranks; generating a composite vehicle repair recommendation set that identifies the recommended vehicle repair operations in an order determined according to the source ranks of the respective sources; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06T 7/00 - Analyse d'image
  • G06N 5/04 - Méthodes ou dispositifs inférents

15.

AUTOMATED VEHICLE REPAIR ESTIMATION BY ADAPTIVE ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS

      
Numéro d'application 17039339
Statut En instance
Date de dépôt 2020-09-30
Date de la première publication 2021-04-01
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Hyland, Joseph

Abrégé

Automated vehicle repair estimation by adaptive ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from a plurality of sources, vehicle repair recommendation sets identifying recommended vehicle repair operations for damaged vehicle components; selecting, by a trained artificial intelligence function, one of the operations for each component based on a plurality of learned states; generating a composite vehicle repair recommendation set identifying the selected operation; providing the composite vehicle repair recommendation set to one or more claims management systems; and repeatedly retraining the trained artificial intelligence function by adjusting the learned states according to the vehicle damage objects received, and the corresponding composite vehicle repair recommendation generated, since the last retraining of the trained artificial intelligence function.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06T 7/00 - Analyse d'image
  • G06N 5/04 - Méthodes ou dispositifs inférents

16.

METHODS FOR MANAGING REPAIR OF VEHICLE DAMAGE WITH HEAD MOUNTED DISPLAY DEVICE AND DEVICES THEREOF

      
Numéro d'application 16823107
Statut En instance
Date de dépôt 2020-03-18
Date de la première publication 2021-03-25
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Cannarsa, Umberto Laurent
  • Bachman, John Anthony
  • Kovar, Daniel Jake

Abrégé

Systems and methods are provided for generating repair procedures, which are displayed on a client computing device as a series of repair steps based on a determined order. A user may be directed to capture an image that includes vehicle identifying information or license plate number using a computer wearable device. The damage information, repair estimate information, and repair procedure information may be obtained based on the damaged vehicle information. Individual repair procedures and their order are determined by analyzing the damage information, repair estimate information, repair procedure information, diagnostic codes, and historical repair data. The user may use the system in a handsfree manner by viewing the repair procedures in a display of a computer wearable device which allows the user to view the repair information while performing the repairs. Additionally, the user may use voice commands or gesture to control the display of particular repair procedures.

Classes IPC  ?

  • G09B 19/00 - Enseignement non couvert par d'autres groupes principaux de la présente sous-classe
  • G06K 9/32 - Alignement ou centrage du capteur d'image ou de la zone image
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G09B 5/02 - Matériel à but éducatif à commande électrique avec présentation visuelle du sujet à étudier, p.ex. en utilisant une bande filmée

17.

METHODS FOR DETERMINING IMAGE CONTENT WHEN GENERATING A PROPERTY LOSS CLAIM THROUGH PREDICTIVE ANALYTICS

      
Numéro d'application 17031728
Statut En instance
Date de dépôt 2020-09-24
Date de la première publication 2021-03-25
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Navarrete, Jonathan
  • Wied, Olaf
  • Tyrrell, Norman E.

Abrégé

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.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06F 16/583 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu

18.

SYSTEMS AND METHODS FOR DETERMINING A PROVIDER-SPECIFIC LIKELIHOOD OF PAYMENT ACCEPTANCE

      
Numéro d'application 16997849
Statut En instance
Date de dépôt 2020-08-19
Date de la première publication 2021-02-25
Propriétaire itchell International, Inc. (USA)
Inventeur(s) Haripko, Lee

Abrégé

Embodiments of the application are directed toward a method comprising: receiving, by a transaction management computing apparatus, an electronic payment estimate via a secure communication channel for services rendered by a provider; receiving determining a likelihood of payment acceptance by generating, by the transaction management computing apparatus, an payment amount acceptable to the provider computing device based on data associated with the provider computing device, a type of service provided, or a number of days to make the payment; determining, by the transaction management computing apparatus, whether the generated exact amount is acceptable to the provider computing device; and completing, by the transaction management computing apparatus, a payment transaction with the generated exact amount when the generated exact amount is determined to be acceptable to the provider computing device.

Classes IPC  ?

  • G06Q 20/24 - Schémas de crédit, c. à d. de "paiement différé"
  • G06Q 20/10 - Architectures de paiement spécialement adaptées aux systèmes de banque à domicile
  • G06Q 20/38 - Architectures, schémas ou protocoles de paiement - leurs détails

19.

METHODS FOR REAL TIME MANAGEMENT OF ASSIGNMENT OF ELECTRONIC BILLS AND DEVICES THEREOF

      
Numéro d'application 17001574
Statut En instance
Date de dépôt 2020-08-24
Date de la première publication 2021-02-25
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Dornean, Marius
  • Malkiewicz, James
  • Thamrongsak, Sirachat

Abrégé

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.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06Q 40/00 - Finance; Assurance; Stratégies fiscales; Traitement des impôts sur les sociétés ou sur le revenu
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/00 - Apprentissage automatique
  • G06N 5/04 - Méthodes ou dispositifs inférents

20.

METHODS FOR SURGICAL GUIDELINE INDICATOR MAPPING TO FACILITATE AUTOMATED MEDICAL BILL ADJUDICATION AND DEVICES THEREOF

      
Numéro d'application 16989781
Statut En instance
Date de dépôt 2020-08-10
Date de la première publication 2021-02-11
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Lindgren, Valerie Q.
  • Dunbar, Vicki L.
  • Martinez, Pamela

Abrégé

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.

Classes IPC  ?

  • G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p.ex. pour la gestion du personnel hospitalier ou de salles d’opération
  • G16H 70/20 - TIC spécialement adaptées à la manipulation ou au traitement de références médicales concernant des pratiques ou des directives
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06Q 20/14 - Architectures de paiement spécialement adaptées aux systèmes de facturation
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 50/26 - Services gouvernementaux ou services publics
  • G06Q 30/00 - Commerce, p.ex. achat ou vente, ou commerce électronique
  • G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p.ex. pour analyser les cas antérieurs d’autres patients
  • G06N 20/00 - Apprentissage automatique

21.

SYSTEMS AND METHODS FOR DETERMINING LIKELIHOOD OF INCIDENT RELATEDNESS FOR DIAGNOSTIC TROUBLE CODES

      
Numéro d'application 16922927
Statut En instance
Date de dépôt 2020-07-07
Date de la première publication 2020-10-22
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Rozint, John J.
  • Chong, Geengyee

Abrégé

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.

Classes IPC  ?

  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
  • G06Q 10/00 - Administration; Gestion
  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
  • B60R 21/0136 - Circuits électriques pour déclencher le fonctionnement des dispositions de sécurité en cas d'accident, ou d'accident imminent, de véhicule comportant des moyens pour détecter les collisions, les collisions imminentes ou un renversement réagissant à un contact effectif avec un obstacle

22.

METHODS FOR AUTOMATICALLY PROCESSING VEHICLE COLLISION DAMAGE ESTIMATION AND REPAIR WITH WEARABLE COMPUTING DEVICES

      
Numéro d'application 16845017
Statut En instance
Date de dépôt 2020-04-09
Date de la première publication 2020-10-15
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Cannarsa, Umberto Laurent

Abrégé

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.

Classes IPC  ?

  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
  • G06Q 10/00 - Administration; Gestion
  • G06T 7/00 - Analyse d'image
  • H04M 1/60 - COMMUNICATIONS TÉLÉPHONIQUES Équipement de sous-station, p.ex. pour utilisation par l'abonné comprenant des amplificateurs de parole
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06N 20/00 - Apprentissage automatique

23.

METHODS FOR ESTIMATING INJURY RECOVERY TIME DATA AND DEVICES THEREOF

      
Numéro d'application 16788540
Statut En instance
Date de dépôt 2020-02-12
Date de la première publication 2020-08-13
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Navarrete, Jonathan
  • Wied, Olaf
  • Tyrrell, Norman E.

Abrégé

Disclosed technology includes extracting claimant medical data including a current claimant's age, gender, and at least one injury from an electronic claims document. Estimated injury recovery time data is determined by correlating demographic medical data comprising prior estimated injury recovery time data associated with different prior claimant's ages, genders, and injuries based on programmed estimation rules configured to identify statistical correspondence between different combinations of the ages, the genders, and the injuries in the demographic medical data and the claimant medical data comprising at least the current claimant's age, gender, and at least one injury. The determined estimated injury recovery time data is updated based on at least identified and obtained medical treatment data and prescription medication data associated with the current claimant's at least one injury. The updated estimated injury recovery time data is provided via a graphical user interface to a claim management device.

Classes IPC  ?

  • G16H 50/50 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour la simulation ou la modélisation des troubles médicaux
  • G16H 10/60 - TIC spécialement adaptées à la manipulation ou au traitement de données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients
  • G16H 20/10 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manipuler les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des médicaments ou des médications, p.ex. pour s’assurer de l’administration correcte aux patients

24.

METHODS FOR EVALUATING AND OPTIMIZING PREFERRED PROVIDER ORGANIZATION (PPO) NETWORK STACKS AND DEVICES THEREOF

      
Numéro d'application 16750322
Statut En instance
Date de dépôt 2020-01-23
Date de la première publication 2020-07-30
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Navarrete, Jonathan
  • Wied, Olaf
  • Tyrrell, Norman E.
  • Spohn, Laura
  • Haripko, Lee

Abrégé

Methods, non-transitory machine readable media, and network stack analysis devices that generate optimized preferred provider organization (PPO) network stacks are disclosed. With this technology, electronic transactions are applied to each of a first plurality of network stacks to determine a cost reduction value for each of the first network stacks. Each of the first network stacks includes an ordered subset of networks. The first network stacks are resampled based on the determined cost reduction values. A determination is made when one or more convergence criteria are met by the resampled first network stacks. When the determination indicates that the convergence criteria are not met by the resampled first network stacks, one or more of the first network stacks are modified based on genetic crossover or mutation operation(s) to generate a second plurality of network stacks. The application, resampling, and determination are then repeated for the second network stacks.

Classes IPC  ?

  • H04L 12/24 - Dispositions pour la maintenance ou la gestion
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06Q 30/04 - Facturation
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • H04L 12/14 - Dispositions pour la taxation
  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison

25.

METHODS FOR ELECTRONICALLY PROCESSING INSURANCE CLAIMS AND DEVICES THEREOF

      
Numéro d'application 16678216
Statut En instance
Date de dépôt 2019-11-08
Date de la première publication 2020-05-14
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Hibbert-Iacobacci, Michele
  • Lindgren, Valerie
  • Dunbar, Vicki
  • Englehart, Susan

Abrégé

Disclosed technology includes identifying injury data in an electronic medical claim data associated with a claimant based diagnosis code data present in the electronic medical claim data. Presence of historical claim data including initial injury data represented by initial diagnosis code data associated with the claimant for the electronic medical claim data is determined. At least one type of clinical correlation of a plurality of clinical correlations between the identified injury data represented by the diagnosis code data and the initial injury data represented by the initial diagnosis code data is identified when historical claim data is determined to be present for the claimant. Claim processing guidance data to process the electronic medical claim data is provided based on the identified at least one type of correlation between the identified injury data represented by the diagnosis code data and the initial injury data represented by the initial diagnosis code data.

Classes IPC  ?

  • G16H 15/00 - TIC spécialement adaptées aux rapports médicaux, p.ex. leur création ou leur transmission

26.

Methods for dynamic management of format conversion of an electronic image and devices thereof

      
Numéro d'application 16569886
Numéro de brevet 11024067
Statut Délivré - en vigueur
Date de dépôt 2019-09-13
Date de la première publication 2020-04-02
Date d'octroi 2021-06-01
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Dornean, Marius

Abrégé

A method, non-transitory computer readable medium, and computing apparatus that identifies with automated image analysis two or more different types of content in image data for an electronic image associated with one or more of a plurality of types of claims. The image data associated with each of the identified two or more different types of content is converted by a different one of a plurality of automated content conversion techniques based on the association with the one or more types of claims and on the identified one of the plurality of types of content. Modified image data for the electronic image is generated based on the converted image data associated with each of the identified two or more different types of content. The modified image data for the electronic image with the converted image data for each of the identified two or more different types of content is provided.

Classes IPC  ?

  • G06N 3/08 - Méthodes d'apprentissage
  • G06T 5/00 - Amélioration ou restauration d'image
  • G06T 7/11 - Découpage basé sur les zones
  • G06T 11/60 - Edition de figures et de texte; Combinaison de figures ou de texte

27.

METHODS FOR ESTIMATING REPAIR DATA UTILIZING ARTIFICIAL INTELLIGENCE AND DEVICES THEREOF

      
Numéro d'application 16585468
Statut En instance
Date de dépôt 2019-09-27
Date de la première publication 2020-04-02
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Nemani, Ravi
  • Hyland, Joseph
  • Lamba, Prarit

Abrégé

A method, non-transitory computer readable medium, and an apparatus for automated estimation of repair data includes applying a first generated artificial intelligence model on a received vehicle damage image associated with an electronic claim to identify damaged component(s) on a vehicle without using any metadata. A heat map analysis is performed on the received actual vehicle damage image to identify a damage severity value associated with at least one of the identified damaged component(s). A second generated artificial intelligence model is applied on the received actual vehicle damage image and the damage severity value associated with the identified damaged component(s) to determine repair data and a repair-or-replace designation. The determined repair data and the determined repair-or-replace designation for at least one of the identified one or more damaged components is provided in response to the received actual vehicle damage image associated with the electronic claim.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06N 3/08 - Méthodes d'apprentissage
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente

28.

METHODS FOR IMPROVED DELTA VELOCITY DETERMINATION USING MACHINE LEARNING AND DEVICES THEREOF

      
Numéro d'application 16570751
Statut En instance
Date de dépôt 2019-09-13
Date de la première publication 2020-03-19
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Navarrete, Jonathan
  • Wied, Olaf
  • Tyrrell, Norman E.

Abrégé

Methods, non-transitory computer readable media, and insurance claim analysis devices are disclosed that provide an improved, automated delta velocity determination. With this technology, one or more images of a damaged motor vehicle and contextual data, associated with an electronic insurance claim and a motor vehicle accident involving the damaged motor vehicle, are obtained. The obtained images and one or more portions of the contextual data are compared to historical sets of images of damaged motor vehicles and corresponding additional contextual data and actual delta velocity values. A delta velocity value is calculated based on the comparison. The calculated delta velocity value is provided to verify damage severity during automated processing of the electronic insurance claim.

Classes IPC  ?

  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06N 3/08 - Méthodes d'apprentissage

29.

METHODS FOR AUTOMATICALLY DETERMINING INJURY TREATMENT RELATION TO A MOTOR VEHICLE ACCIDENT AND DEVICES THEREOF

      
Numéro d'application 16570758
Statut En instance
Date de dépôt 2019-09-13
Date de la première publication 2020-03-19
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Tyrrell, Norman E.
  • Wied, Olaf
  • Navarrete, Jonathan
  • Williamson, Christopher
  • Zaino, Paul

Abrégé

Methods, non-transitory computer readable media, and insurance claim analysis devices are disclosed that generate an injury severity score based on a delta velocity value for a damaged motor vehicle and occupant data for an occupant of the damaged motor vehicle or motor vehicle data associated with the damaged motor vehicle. A first set of condition indications are identified based on a correlation of the injury severity score with a stored mapping of condition indications to injury severity scores. A determination is made when one or more of the first set of condition indications correspond to one or more of a second set of condition indications in injury data for an electronic insurance claim. The electronic insurance claim is automatically adjudicated based on a likelihood value generated based on the determination. The likelihood value is indicative of whether a reported injury of the occupant resulted from an associated motor vehicle accident.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G16H 70/20 - TIC spécialement adaptées à la manipulation ou au traitement de références médicales concernant des pratiques ou des directives
  • G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur

30.

SYSTEMS AND METHODS FOR USE OF DIAGNOSTIC SCAN TOOL IN AUTOMOTIVE COLLISION REPAIR

      
Numéro d'application 16676576
Statut En instance
Date de dépôt 2019-11-07
Date de la première publication 2020-03-05
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Rozint, John Joseph

Abrégé

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 decision on vehicle repair. An advantage of this new automotive collision repair technology is that it enables proper and proven repairs, which in turn increases operation safety of repaired vehicle and people safety.

Classes IPC  ?

  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/04 - Facturation
  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules

31.

METHODS FOR ASSESSING CONDITIONING OF A TOTAL LOSS VEHICLE AND DEVICES THEREOF

      
Numéro d'application 16520011
Statut En instance
Date de dépôt 2019-07-23
Date de la première publication 2020-01-30
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Kroell, Philip
  • Riedesel, Joseph

Abrégé

A method, non-transitory computer readable medium, and apparatus that automated assessment of conditioning includes automatically analyzing one or more electronic images of a total loss property based on one or more prior condition assessments and condition guidelines rating data associated with the total loss property. A prior property conditioning of the total loss property is determined based on the analysis of the one or more obtained images. The determined prior property conditioning of the total loss property is provided.

Classes IPC  ?

32.

METHODS FOR MANAGING ONE OR MORE UNCORRELATED ELEMENTS IN DATA AND DEVICES THEREOF

      
Numéro d'application 16520026
Statut En instance
Date de dépôt 2019-07-23
Date de la première publication 2020-01-30
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Cassol, Mary
  • Dunbar, Vicki
  • Lindgren, Valerie
  • Martinez, Pamela

Abrégé

A method, non-transitory computer readable medium, and apparatus that identifies one of a plurality of diagnostic mapping tables based on a diagnostic code associated with one of a plurality of data environment formats in an electronic claim. The diagnostic code associated with one of the plurality of data environment formats is correlated to at least one of a plurality of parts and laterality associated with another one of the plurality of data environment formats based on the identified one of the plurality of diagnostic code mapping tables. One of a plurality of assessment ratings is determined based on the diagnostic code the correlated one of the plurality of parts and the laterality, and a categorization table associated with the another one of the plurality of data environment formats. Execution of one of a plurality of actions on the electronic claim in response to the determined one of the plurality of assessment ratings for the diagnostic code is initiated.

Classes IPC  ?

  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps
  • G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
  • G16H 10/60 - TIC spécialement adaptées à la manipulation ou au traitement de données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions

33.

Methods for automated processing of hybrid electronic invoice data and devices thereof

      
Numéro d'application 16159400
Numéro de brevet 10915934
Statut Délivré - en vigueur
Date de dépôt 2018-10-12
Date de la première publication 2019-04-18
Date d'octroi 2021-02-09
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Bishop, Michael
  • Freeman, James
  • Martinez, Alma
  • Torrence, David
  • Kartchner, Roger
  • Morgan, Rebecca

Abrégé

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.

Classes IPC  ?

  • G06Q 30/04 - Facturation
  • G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p.ex. pour la gestion du personnel hospitalier ou de salles d’opération
  • G06F 40/117 - Mise en forme, c. à d. modification de l’apparence des documents Étiquetage; Annotation ; Désignation de bloc; Choix des attributs
  • G06F 40/205 - Analyse syntaxique

34.

METHODS FOR PREDICTIVE ESTIMATION OF REPAIR LINES BASED ON HISTORICAL DATA AND DEVICES THEREOF

      
Numéro d'application 16162025
Statut En instance
Date de dépôt 2018-10-16
Date de la première publication 2019-04-18
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Nemani, Ravi
  • Genchel, Niv
  • Samel, Palak
  • Carron, Don
  • Farnsworth, Jason
  • Bhuwal, Rahul
  • Allan, Christopher
  • Crumpler, Kenny

Abrégé

A method, non-transitory computer readable medium and apparatus for providing predictive estimates of repair lines includes receives vehicle damage data including a plurality of images, videos, and vehicle diagnostic data. One or more damages are identified based on the received vehicle damage data. One or more repair parts data and labor data are determined for the identified one or more damages based on historical repair parts data and historical labor data. The determined one or more repair parts data and the labor data is provided via a graphical user interface.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions

35.

METHODS FOR ANALYZING INSURANCE DATA AND DEVICES THEREOF

      
Numéro d'application 16162029
Statut En instance
Date de dépôt 2018-10-16
Date de la première publication 2019-04-18
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Gulati, Abhijeet
  • Nemani, Ravi
  • Valenzuela, Eric
  • Kozak, Scott

Abrégé

Methods, non-transitory computer readable media, and computing apparatus that assist with analyzing data includes obtaining vehicle data from one of the plurality of data sources in a plurality of formats. The obtained vehicle data is aggregated based on one or more geographic locations obtained from one of the plurality of sources. A sampling threshold size is determined for sampling the aggregated vehicle data based on one or more threshold rules. One or more machine learning algorithms are applied to the aggregated vehicle data to generate sampling data when the aggregated vehicle data is greater than the determined sampling threshold size. The generated sampling data is represented in a graphical representation format via a graphical user interface.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06F 15/18 - dans lesquels un programme est modifié en fonction de l'expérience acquise par le calculateur lui-même au cours d'un cycle complet; Machines capables de s'instruire (systèmes de commande adaptatifs G05B 13/00;intelligence artificielle G06N)
  • G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

36.

System allocating links for data packets in an electronic system

      
Numéro d'application 15623105
Numéro de brevet 10402230
Statut Délivré - en vigueur
Date de dépôt 2017-06-14
Date de la première publication 2018-12-20
Date d'octroi 2019-09-03
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Dattaray, Basab
  • Baierl, Scott

Abrégé

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.

Classes IPC  ?

  • G06F 9/46 - Dispositions pour la multiprogrammation
  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption

37.

Automatically generating links for data packets in an electronic system

      
Numéro d'application 15616536
Numéro de brevet 10740337
Statut Délivré - en vigueur
Date de dépôt 2017-06-07
Date de la première publication 2018-12-13
Date d'octroi 2020-08-11
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Dattaray, Basab
  • Durant, Bryan

Abrégé

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.

Classes IPC  ?

  • G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
  • G06F 16/2455 - Exécution des requêtes
  • H04L 12/26 - Dispositions de surveillance; Dispositions de test

38.

Systems and methods for use of diagnostic scan tool in automotive collision repair

      
Numéro d'application 16005534
Numéro de brevet 11151812
Statut Délivré - en vigueur
Date de dépôt 2018-06-11
Date de la première publication 2018-10-11
Date d'octroi 2021-10-19
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Rozint, John Joseph

Abrégé

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 decision on vehicle repair. An advantage of this new automotive collision repair technology is that it enables proper and proven repairs, which in turn increases operation safety of repaired vehicle and people safety.

Classes IPC  ?

  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/04 - Facturation
  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules

39.

Automatically generating links for data packets in an electronic system

      
Numéro d'application 15696078
Numéro de brevet 10489211
Statut Délivré - en vigueur
Date de dépôt 2017-09-05
Date de la première publication 2018-05-10
Date d'octroi 2019-11-26
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Rivera, Marcos
  • Baierl, Scott
  • Durant, Bryan
  • Peters, Russell
  • Dattaray, Basab

Abrégé

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.

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole

40.

Methods for vehicle valuation utilizing automated integration of build sheet data and devices thereof

      
Numéro d'application 15680575
Numéro de brevet 11042939
Statut Délivré - en vigueur
Date de dépôt 2017-08-18
Date de la première publication 2018-02-22
Date d'octroi 2021-06-22
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Kroell, Philip
  • Milliken, Michael
  • Riedesel, Joseph

Abrégé

A method, non-transitory computer readable medium and apparatus for vehicle valuation includes integrating with an insurance claim application executed by an agent device in response to an electronic request for a claim for a vehicle. Automated valuation of the claim vehicle in the insurance claim application executed by an agent computing device is managed. Corresponding build sheet data from a build sheet data server device for the comparable vehicles and the vehicle based on a corresponding vehicle identifier for each is obtained. A comparable base value of each of the comparable vehicles to the claim vehicle is adjusted based on differences between the obtained build sheet data for each. A claim base value for the claim vehicle is determined based on the adjusted comparable base values for each of the identified comparable vehicles. The determined claim base value is set in the insurance claim application executed by the agent device.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix

41.

Systems and methods for use of diagnostic scan tool in automotive collision repair

      
Numéro d'application 15487379
Numéro de brevet 10152836
Statut Délivré - en vigueur
Date de dépôt 2017-04-13
Date de la première publication 2017-10-19
Date d'octroi 2018-12-11
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s) Rozint, John Joseph

Abrégé

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.

Classes IPC  ?

  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
  • G06Q 10/00 - Administration; Gestion
  • G06Q 30/04 - Facturation
  • G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules

42.

METHODS FOR IMPROVING AUTOMATED DAMAGE APPRAISAL AND DEVICES THEREOF

      
Numéro d'application 15421972
Statut En instance
Date de dépôt 2017-02-01
Date de la première publication 2017-08-03
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Sullivan, Beau
  • Nayak, Sunil

Abrégé

A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify which area of the property has damage. Damage data on an extent of the damage in the identified area of the property is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified area of the property with the damage is mapped to one of a plurality of stored repair procedure templates to generate a list of one or more parts and one or more repair lines to make a repair. The generated data list for the identified area of the property with the damage is provided.

Classes IPC  ?

  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06N 3/08 - Méthodes d'apprentissage
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06K 9/78 - Combinaison de l'obtention de l'image et de fonctions de reconnaissance
  • G06Q 10/00 - Administration; Gestion
  • G06T 7/00 - Analyse d'image

43.

Method for optimizing automated management of third party insurance claim processing and devices thereof

      
Numéro d'application 14630241
Numéro de brevet 10817948
Statut Délivré - en vigueur
Date de dépôt 2015-02-24
Date de la première publication 2016-08-25
Date d'octroi 2020-10-27
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Dinamani, Vidya
  • Viswanathan, Ajit
  • Walker, William

Abrégé

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. The customized hierarchical claim management graphical user interface system includes an initial dashboard graphical user interface comprising a plurality of interactive panels and a plurality of specialized third-party claim management graphical user interfaces nested beneath the initial dashboard graphical user interface.

Classes IPC  ?

  • G06Q 40/08 - Assurance, p.ex. analyse des risques ou pensions
  • G06Q 10/10 - Bureautique, p.ex. gestion informatisée de courrier électronique ou logiciels de groupe; Gestion du temps, p.ex. calendriers, rappels, décompte de réunions ou de temps

44.

Method of classifying a bill

      
Numéro d'application 14221183
Numéro de brevet 10140636
Statut Délivré - en vigueur
Date de dépôt 2014-03-20
Date de la première publication 2014-09-25
Date d'octroi 2018-11-27
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Pepper, Noah Mantell
  • Francis, Charles Cooper
  • Quarum, Merritt Laird

Abrégé

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

Classes IPC  ?

  • G06Q 30/04 - Facturation
  • G06Q 40/00 - Finance; Assurance; Stratégies fiscales; Traitement des impôts sur les sociétés ou sur le revenu

45.

Work process collaboration management

      
Numéro d'application 13831330
Numéro de brevet 09542660
Statut Délivré - en vigueur
Date de dépôt 2013-03-14
Date de la première publication 2014-05-08
Date d'octroi 2017-01-10
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Schneider, Craig A.
  • Makris, Stefanos
  • Albert, Frederick
  • Genchel, Niv
  • Fletcher, John
  • Kanodia, Juveria
  • Deshmukh, Kshitij

Abrégé

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.

Classes IPC  ?

  • G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p.ex. pour le traitement simultané de plusieurs programmes
  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels

46.

Compliance manager

      
Numéro d'application 13476937
Numéro de brevet 08694556
Statut Délivré - en vigueur
Date de dépôt 2012-05-21
Date de la première publication 2012-11-22
Date d'octroi 2014-04-08
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Littooy, Hans
  • Pugliese, Vincent
  • Emmerson, Michael

Abrégé

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.

Classes IPC  ?

  • G06F 7/00 - Méthodes ou dispositions pour le traitement de données en agissant sur l'ordre ou le contenu des données manipulées
  • G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet

47.

Reasonable value self insured medical benefit plan

      
Numéro d'application 11841507
Numéro de brevet 07890356
Statut Délivré - en vigueur
Date de dépôt 2007-08-20
Date de la première publication 2011-02-15
Date d'octroi 2011-02-15
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Drucker, Vincent
  • Brock, Scott

Abrégé

A self-insured or self funded medical benefit plan is provided by an employer wherein the self-insured medical benefit plan is governed by ERISA, and wherein the employer who is providing the medical benefit plan is 100 percent responsible for payment for medical services provided to an employee, receiving the benefit of the medical benefit plan, to a medical service provider for covered medical services and products. The medical benefit plan and method for providing the medical benefit plan determines a reasonable value for the medical services provided by a medical service provider to a participant of the plan, reprices a bill or claim from the medical service provider, and protects the participant/employee under ERISA from attempted collections of additional moneys that a medical service provider may believe is owed for the medical services but were not paid by the exemplary self insured medical benefit plan.

Classes IPC  ?

  • G06Q 40/00 - Finance; Assurance; Stratégies fiscales; Traitement des impôts sur les sociétés ou sur le revenu

48.

Compliance manager

      
Numéro d'application 11557943
Numéro de brevet 08200707
Statut Délivré - en vigueur
Date de dépôt 2006-11-08
Date de la première publication 2008-05-08
Date d'octroi 2012-06-12
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Littooy, Hans
  • Pugliese, Vincent
  • Emmerson, Michael

Abrégé

An estimate compliance tool to specify estimate compliance criteria is presented. In one embodiment, the tool can be provided using hardware, software or a combination thereof, and can be configured to include functionality to facilitate creation of rules to outline criteria for estimate creation or invoicing. In one embodiment, a user interface is provided to a user to provide the opportunity to enter vehicle and parts identification to which a rule will apply. The user can also be prompted to enter a rule requirement or suggestion such as, for example, the type of parts required. The system can include a first module configured to accept user input specifying vehicle criteria; a second module configured to accept user input specifying parts criteria; and a third module configured to create an estimate compliance rule based on the entered vehicle selection criteria and parts criteria. The system can further include a storage medium configured to store a plurality of created estimate compliance rules and a profile module configured to create a rules profile comprised of a plurality of estimate compliance rules. Additionally, a compatibility module configured to check a plurality of created rules for conflicting rule criteria can be provided.

Classes IPC  ?

  • G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
  • G06F 12/00 - Accès à, adressage ou affectation dans des systèmes ou des architectures de mémoires

49.

Medical bill analysis and review

      
Numéro d'application 11124938
Numéro de brevet 08600769
Statut Délivré - en vigueur
Date de dépôt 2005-05-09
Date de la première publication 2005-12-08
Date d'octroi 2013-12-03
Propriétaire MITCHELL INTERNATIONAL, INC. (USA)
Inventeur(s)
  • Drucker, Vincent
  • Mattingly, Larry
  • Hatchett, Kevin
  • Katen, Bob
  • Davis, Trevor

Abrégé

A method and business technique for reviewing medical service provider bills, recalculating and providing payment recommendation to a paying party for the bills. The method includes analyzing medical bills and determining erroneous and inappropriate charges on bills. The method provides a payment recommendation using multiple databases and sophisticated mathematical modeling that includes one or more of the following: a medical service provider's actual cost of delivering the medical services provided; the average profit-margin of that provider, an average profit margin of comparable medical providers in an area, other industry-specific profit-margin benchmarks; an average acceptable payment by medical service providers in the area for comparable services; payment rates negotiated by large health insurers and managed care organizations; and other industry benchmarks for reasonable payment for comparable services.

Classes IPC  ?

  • G06Q 50/00 - Systèmes ou procédés spécialement adaptés à un secteur particulier d’activité économique, p.ex. aux services d’utilité publique ou au tourisme
  • G06Q 10/00 - Administration; Gestion

50.

System and method of administering, tracking and managing of claims processing

      
Numéro d'application 09825604
Numéro de brevet 07953615
Statut Délivré - en vigueur
Date de dépôt 2001-04-03
Date de la première publication 2002-03-21
Date d'octroi 2011-05-31
Propriétaire Mitchell International, Inc. (USA)
Inventeur(s)
  • Aquila, Anthony
  • Schrenk, Edward L
  • Cole, Patrick
  • Lyons, Thomas
  • Griffin, David
  • Marsh, Mike
  • Christian, Hassold
  • Fisher, Frederick C
  • Portal, Carlos

Abrégé

A system and method of administering, tracking and managing of claims processing.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06Q 50/00 - Systèmes ou procédés spécialement adaptés à un secteur particulier d’activité économique, p.ex. aux services d’utilité publique ou au tourisme
  • A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
  • G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
  • G06Q 40/00 - Finance; Assurance; Stratégies fiscales; Traitement des impôts sur les sociétés ou sur le revenu