AUTOMATED FILE CORRECTION AND FALLOUT PROCESSING FOR FAILED DATABASE ENTITIES

    公开(公告)号:US20230185796A1

    公开(公告)日:2023-06-15

    申请号:US18107073

    申请日:2023-02-08

    CPC classification number: G06F16/2379 G06F16/219 G16H40/20

    Abstract: A computer system includes memory hardware configured to store a predictive analyzer module, and a fallout transaction history record database including multiple historical fallout transaction records each associated with a database entity. Processor hardware is configured to execute instructions including receiving a fallout transaction request, determining a database search type according to at least one error field of the fallout transaction request, and searching, via the predictive analyzer module, to identify at least one of the multiple historical fallout transaction records associated with one or more field values of the fallout transaction request and the at least one error field. In response to identifying a matching one of the multiple historical fallout transaction records, the instructions include updating the at least one error field of the fallout transaction request, and transmitting the updated fallout transaction request to an automated request processor in response to a successful validation.

    MACHINE LEARNING MODELS FOR AUTOMATED ENTITY FIELD CORRECTION

    公开(公告)号:US20230162831A1

    公开(公告)日:2023-05-25

    申请号:US17992347

    申请日:2022-11-22

    CPC classification number: G16H20/10 G16H10/60

    Abstract: A method for automated entity field correction includes scanning a database entity to generate structured scan data, generating a feature vector input according to the structured scan data, and processing, by a machine learning model, the feature vector input to generate an entity field output including multiple identified entity fields and values of the identified entity fields. In response to determining that the entity field output includes at least one missing field value, the method includes accessing a record database to identify a predicted value for the missing field value, comparing a predicted name string of the predicted value to a scanned name string of the structured scan data to determine at least one of a Levenshtein distance and a Jaro-Winkler distance, and transmitting the database entity to a prescription fill processing module for automated processing of a prescription fill specified by the database entity.

Patent Agency Ranking