Comprehensive liability management platform for calculation of multiple alternative scenarios

One or more non-transitory machine-readable storage media comprising a set of instructions stored therein which, when executed by a processor, causes the processor to:

• generate a user interface to be presented to a claims adjuster;
• receive a first user input via the user interface, the first user input identifying a claimant;
• responsive to receiving the first user input, retrieve multiple electronic medical bills, each electronic medical bill having at least one line, each line representing a medical service provided to the identified claimant;
• preprocess the received multiple electronic medical bills, wherein preprocessing the received multiple electronic bills comprises performing an input data transformation on each of the received multiple electronic bills;
• aggregate the preprocessed electronic medical bills;
• provide the aggregated electronic medical bills as inference input to a trained machine learning model, wherein the trained machine learning model has been trained with historical electronic medical bills and corresponding findings and scenarios;
• generate, by the trained machine learning model, one or more findings and multiple scenarios based on the inference input, wherein the one or more findings represent rationales for approving, denying, or repricing at least one of the lines of the electronic medical bills, and wherein the multiple scenarios include cost estimates based on the one or more findings;
• present the one or more findings and the one or more scenarios in the user interface;
• receive second user input via the user interface, the second user input representing a selected one of the scenarios;
• and
• responsive to the second user input, generate at least one adjusted electronic medical bill.

A computer-implemented method for adjusting one or more electronic medical bills for a claimant injured in an accident, the method comprising:

• generating, by a processor of a management platform, a user interface to be presented to a claims adjuster;
• receiving, by the processor of the management platform, a first user input via the user interface, the first user input identifying a claimant;
• responsive to receiving the first user input, retrieving, by the processor of the management platform, multiple electronic medical bills, each electronic medical bill having at least one line, each line representing a medical service provided to the identified claimant;
• preprocessing, by the processor of the management platform, the received multiple electronic medical bills, wherein preprocessing the received multiple electronic bills comprises performing an input data transformation on each of the received multiple electronic bills;
• aggregating, by the processor of the management platform, the preprocessed electronic medical bills;
• generating, by the processor of the management platform, one or more findings and multiple scenarios by providing the aggregated electronic medical bills as inference input to a trained machine learning model, wherein the trained machine learning model has been trained with historical electronic medical bills and corresponding findings and scenarios;
• generating, by the processor of the management platform, using the trained machine learning model, the one or more findings and the multiple scenarios, wherein the one or more findings represent rationales for approving, denying, or repricing at least one of the lines of the electronic medical bills, and wherein the multiple scenarios include cost estimates based on the one or more findings;
• presenting, by the processor of the management platform, the one or more findings and the one or more scenarios in the user interface;
• receiving, by the processor of the management platform, second user input via the user interface, the second user input representing a selected one of the scenarios;
• and
• responsive to the second user input, generating, by the processor of the management platform, at least one adjusted electronic medical bill.