Abstract: In some embodiments, a method for automated batch processing of a plurality of exception records includes displaying an automated batch processing graphical user interface comprising: a batch explorer user interface container that includes a hierarchical view of a plurality of exception record batches, a first artifact user interface component that is configured to display a plurality of top-level exception records associated with an exception record batch selected in the batch explorer user interface element, a second artifact user interface component that is configured to display a plurality of sub-level exception records subordinate to a top-level exception record selected in the first artifact user interface component, and a plurality of editable user interface fields that are configured to receive input for modifying a plurality of attributes associated with a sub-level exception record selected in the second artifact user interface component.

Abstract: In some embodiments, a method for automated batch processing of a plurality of exception records includes displaying an automated batch processing graphical user interface comprising: a batch explorer user interface container that includes a hierarchical view of a plurality of exception record batches, a first artifact user interface component that is configured to display a plurality of top-level exception records associated with an exception record batch selected in the batch explorer user interface element, a second artifact user interface component that is configured to display a plurality of sub-level exception records subordinate to a top-level exception record selected in the first artifact user interface component, and a plurality of editable user interface fields that are configured to receive input for modifying a plurality of attributes associated with a sub-level exception record selected in the second artifact user interface component.

Abstract: A computer-implemented method for automated data record resolution includes: receiving an unmapped data record comprising a plurality of data fields, wherein at least one data field of the plurality of data fields causes a mapping error between the unmapped data record and a plurality of validated data records; generating, from the plurality of validated records, a resolution candidate record for the unmapped data record based on detecting the mapping error between the unmapped data record and the plurality of validated data records; and automatically re-assigning one or more data records of the computer database that are digitally associated with the unmapped data record to the resolution candidate record.

Abstract: A system, method, and computer-program product includes obtaining, from a computer database, claim data associated with a digital claim that has an adverse decision, extracting, using one or more feature extractors, one or more corpora of feature vectors from the claim data associated with the digital claim, computing, using a claim assessment machine learning model, a claim assessment inference that includes a likelihood of the adverse decision being reversed for the digital claim based on the claim assessment machine learning model receiving the one or more corpora of feature vectors, and automatically routing the digital claim to a target claim handling queue of a plurality of distinct claim handling queues based on the likelihood of the adverse decision being reversed for the digital claim.

Abstract: A method for concurrently handling multiple artifact types includes displaying a multi-artifact handling user interface for concurrently handling a corpus of exception artifacts and a corpus of validated artifacts, wherein the multi-artifact handling user interface includes: a first dynamic artifact user interface component that displays the corpus of exception artifacts in an editable state during a first period, a second dynamic artifact user interface component that displays the corpus of validated artifacts in an un-editable state during the first period, and a transition control toggle button that is selectable to transition: the first dynamic artifact user interface component from displaying the corpus of exception artifacts to displaying the corpus of validated artifacts during a second period, and the second dynamic artifact user interface component from displaying the corpus of validated artifacts to displaying the corpus of exception artifacts during the second period.

Abstract: A computer-implemented method for automated data record resolution includes: receiving an unmapped data record comprising a plurality of data fields, wherein at least one data field of the plurality of data fields causes a mapping error between the unmapped data record and a plurality of validated data records; generating, from the plurality of validated records, a resolution candidate record for the unmapped data record based on detecting the mapping error between the unmapped data record and the plurality of validated data records; and automatically re-assigning one or more data records of the computer database that are digitally associated with the unmapped data record to the resolution candidate record.

Abstract: A computer-implemented method for electronic record classification and machine learning inference(s)-informed automated electronic communication includes obtaining one or more electronic records comprising an unstructured component, the unstructured component comprising a textual representation of a set of instructions; extracting a first set of feature vectors comprising features related to a proposed action instruction, and a second set of feature vectors comprising features related to a proposed temporal instruction; computing a first classification inference and a second classification inference that indicates a likely proposed action instruction type and a likely proposed temporal instruction; generating, by the one or more computer processors, a structured digital artifact accessible via a graphical user interface.